HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

data cleaning

3135 papers and 304 presentations; 3181 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
WUSS 2026 A Practical Roadmap for the 2026 Enterprise Generative AI Stack: AI Agent Architectures, Frameworks, and Secure Deployment for Regulated Industries Ryan Paul Lafler source 7
WUSS 2026 A Structured Agent-Based Framework for Early-Stage Data Science Pipelines Dheerusha Tiwari,
Siddharth Birajdar		 source 14
WUSS 2026 A Weighted Deming Regression SAS Macro Jesse Albert Canchola,
Brahian Urrego,
Natasha Oza		 source 29
WUSS 2026 Code Hard and Put away Wet: Replacing Hardcoded SAS Software Quality Checks with Data-Driven Design and Defensive Programming Techniques That Validate Code and Control Data Troy Martin Hughes source 8
WUSS 2026 Demystifying Regression Analysis Techniques with R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 35
WUSS 2026 Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON Ryan Paul Lafler,
Miguel Bravo Martinez del Valle		 source 12
WUSS 2026 If a Warning Falls in a SAS Log and Nobody Reads It: Evaluating Generative AI as a First-Pass Reviewer for SAS Enterprise Guide Logs Patrick Leon source 16
WUSS 2026 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
WUSS 2026 Macro-Powered Clinical Reporting in SAS: Automating Workflows with Automatic Macro Variables, ODS TRACE, and Reusable Table-Building Macros Chary Akmyradov source 8
WUSS 2026 Running Existing SAS Programs on an Independent Engine [presentation] Lawrence Sinclair source 8
WUSS 2026 SAS Macro Debugging Techniques for Mere Mortals Kirk Paul Lafler source 36
WUSS 2026 Smarter CRF Reviews: An Open-Source AI Tool for Automated Protocol-to-CRF Gap Analysis in Clinical Trials Raj Sharma source 9
WUSS 2026 Speeding Up Your Validation Process is As Easy As 1, 2 and 3 Alice M. Cheng source 23
WUSS 2026 Why Your SAS Connections Fail: Understanding TLS and Certificates Kim M. Wilson source 21
PharmaSUG CN 2026 A Dual-Harness Workflow to Wrap AI into Observable, Reusable Clinical Table Delivery: From SAP Intent to Shell-Aligned Execution Wenjun Zhu source 14
PharmaSUG CN 2026 A Practical Framework for Applying Generative AI in Clinical SAS Programming: A Human-in-the-Loop Approach for Chinese Clinical Studies Siyu Yu source 12
PharmaSUG CN 2026 A Traceable and Reproducible Framework for Oncology Efficacy Data Review Using IMWG Criteria: A BCMA Case Study Yun Jiang,
Yingying Deng,
Manman Lu,
Longhui Li		 source 6
PharmaSUG CN 2026 AI in Regulatory Submissions: Health Authority Expectations and Emerging Opportunities for Data Standards and Submission He Liu source 7
PharmaSUG CN 2026 AI intelligent document translation: The deep integration of high-fidelity typesetting and large model knowledge bases Zuocheng Xiang source 8
PharmaSUG CN 2026 AI-Assisted Automated Development of the P21C Validator Report Comparison Tool Huanhuan Sun source 6
PharmaSUG CN 2026 AI-Augmented SDTM Workflow: A Methodological Framework Yuqi Chen,
Muqu Lv,
Zhuozhao Zhan		 source 16
PharmaSUG CN 2026 AI-Native Real-Time SDTM Mapping and Exploration Agent Hao Chen,
Xuejie Zhou,
Haomin Yang,
Qianwang Wang		 source 13
PharmaSUG CN 2026 AI-Powered Spec Verification for Data Review Outputs Using ALS Cross-Checks Keting Lv source 6
PharmaSUG CN 2026 An Integrated, AI-Augmented R Shiny Platform for Oncology Clinical Trial Decision Intelligence: From CDISC Data to Go/No-Go in One Unified Hub Zhiping Yan source 28
PharmaSUG CN 2026 An Interactive Shiny Application for Streamlined ADaM Specification Integration and Compliant Define-XML v2.1 Generation Dongxu Liu source 11
PharmaSUG CN 2026 An Interpretable Machine Learning Framework for Exploratory Survival and Safety Analysis Using Random Survival Forests and SHAP Kun Shao source 17
PharmaSUG CN 2026 Automating SDTM Programming with a Human-in-the-Loop Multi-Agent System Wenqiang Chu source 7
PharmaSUG CN 2026 Bridging gtsummary and reporter: Submission-Ready Clinical Outputs with derrick Xiecheng Gu,
Joe Zhu,
Bill Huang		 source 12
PharmaSUG CN 2026 ClaudeAgentSDK and shinyAssistantUI: Extending Claude Code's AI Agent Capabilities to the R Ecosystem Kaiping Yang,
Jie Liu		 source 12
PharmaSUG CN 2026 DQO: A Rule Engineering and AI-Driven Platform for Assessing Source Data Quality from SDTM Perspective Nana Yang,
Huan Song,
Zhouhao Pan,
Chunpeng CZ Zhao		 source 11
PharmaSUG CN 2026 Evaluating Missing Data Imputation Methods for Clinical Trial Analysis Jiajun Wen source 12
PharmaSUG CN 2026 From SAP to TFL: An AI-Assisted Workflow Framework for Automated Shells and TFLs Xiaoyu Ding,
Guoqing Zhao,
Huafeng Gao,
Zhiyuan Guo		 source 18
PharmaSUG CN 2026 From Spreadsheets to Smart Platforms: A Framework for Modernizing SDTM Specification Management Using the Microsoft 365 Ecosystem Shuting Lou source 14
PharmaSUG CN 2026 Making Composite Endpoints Work: An ADaM Programming Approach to Sustained Remission Qing Xue,
Fen Wu,
Shuo Zhang,
Peixuan Wang		 source 15
PharmaSUG CN 2026 Modernizing the Vaccine TAUG: An End-to-End, Output-Driven Framework for Reactogenicity, Immunogenicity, Efficacy, and Reviewer-Ready Submissions Lin Chen,
Jialiang Liu		 source 18
PharmaSUG CN 2026 R in study validation Liang Han source 7
PharmaSUG CN 2026 R Submissions in Practice: The J&J Implementation and Emerging AI Opportunities Wenlan Pan source 11
PharmaSUG CN 2026 ShellPainter & CDARS: An AI-Powered Digital Framework for Integrated shell-TFL Automation Jiapeng He,
Mingliang Fan,
Yanan Sui,
Lin Jiang,
Mingfeng Zhou,
Xuejie Zhou		 source 7
PharmaSUG CN 2026 Stop Building, Start Prompting: Leveraging LLM-Native Capabilities for TFL Automation with Minimal Scaffolding Zhongqian Xu source 6
PharmaSUG CN 2026 The Effective Preparation of NMPA Submission Package Fu Wang source 6
PharmaSUG 2026 A Human-in-the-Loop AI-Assisted Framework for ADaM Standardization Chunqiu Xia,
Feiyang Du		 source 12
PharmaSUG 2026 A Novel Approach to Inter-Collaboration using IDEs and GitHub Sydney Hyde,
Tamara Martin		 source 8
PharmaSUG 2026 A Practical Approach to Multiple-Period CLINSITE Preparation Liyuan Huang,
Amanda Plaisted,
Sreedhar Bodepudi		 source 6
PharmaSUG 2026 A Practical Roadmap for Modernizing Legacy Clinical Applications David L. Ward source 15
PharmaSUG 2026 A Practical Roadmap for the 2026 Enterprise Generative AI Stack: AI Agent Architectures, Frameworks, and Secure Deployment Ryan Paul Lafler source 8
PharmaSUG 2026 A specification-driven approach to improve the reliability of AI-generated SDTM transformation programs Rostislav Markov source 6
PharmaSUG 2026 Accelerating CDISC SEND Conversion with AI: From Raw Preclinical Data to Regulatory-Ready Datasets Nattawit Pewngam,
Chotika Chatgasem,
Titipat Achakulvisut		 source 10
PharmaSUG 2026 Agentic R in Clinical Trials: Empowering Statistical Programmers with Open Source LLM Packages & Positron Tools Philip Bowsher source 15
PharmaSUG 2026 AI-Augmented SDTM Review: A Practical Framework Enhanced by a Structured Prompt Library Vihar Patel source 10
PharmaSUG 2026 AI-Driven Intelligent Platforms for ADaM Specification and Code: Empowering Clinical Data Analysis Tingting Zeng,
Jia He,
Yaohui Zhu,
Shuang Gao,
Jinling Li,
Nana Yang		 source 11
PharmaSUG 2026 AI-Enhanced R Shiny App for Real-Time Clinical TLF Coding and Preview Dickson Wanjau source 15
PharmaSUG 2026 AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era Kevin Lee source 7
PharmaSUG 2026 AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation Lucas Liu,
Bo Ci		 source 5
PharmaSUG 2026 An Alternative Option to Create XPT Files with a SAS Function Jose Hernandez Rivero,
Ruth Marisol Rivera Barragan		 source 5
PharmaSUG 2026 An Approach for Generating Tumor Biopsy Datasets for Drug Development Ryan Hernandez-Cancela,
Jeff Cheng,
Sandeep Meesala		 source 10
PharmaSUG 2026 An End-to-End R-Based Pharmacokinetics (PK) Workflow for Regulatory Submission: The INAVO120 Study Qi Liu,
Shweta Vadhavkar		 source 5
PharmaSUG 2026 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
PharmaSUG 2026 Approaches Integrating SAS LSAF and Pinnacle 21 Enterprise for SDTM/ADaM Dataset Validation James Zhao,
Joshua Lin		 source 8
PharmaSUG 2026 Assessing Quality of Real-World Data Sources S. Robert Collins source 4
PharmaSUG 2026 Automated Quality Checks for SDTM and ADaM Datasets Using R Shiny Shih-Che (Danny) Hsu,
Wei Qian		 source 4
PharmaSUG 2026 Automating Bioresearch Monitoring (BIMO) Listings Using R Weishan Song,
Wanting Jin,
Weiyu Zhou,
Margaret Huang		 source 15
PharmaSUG 2026 Automating Table Generation in Real-World Data Programming: An AI-Assisted Approach Sachin Heerah,
Darren Jeng		 source 12
PharmaSUG 2026 Beyond Today-s Evidence: How AI-Enabled RWE Will Transform Development Speed, Study Quality, and Real-World Impact Sherrine Eid source 15
PharmaSUG 2026 Breaking the Shell: Validated R Workflows To Meet FDA Standards Danielle Stephenson,
Audrey Chin,
Madeleine Penniston		 source 5
PharmaSUG 2026 Bridging the Gap: Table-Driven SAS Programming as a Pathway to AI in Clinical Trials Statistical Programming James Sun,
Vijaya Nadella,
Daniel Qi		 source 15
PharmaSUG 2026 Building a Model Context Protocol Server for AI-Driven Workflow Automation Samiul Haque source 4
PharmaSUG 2026 Case Study: Integrating ADPPK CDISC Standards into Pharmacometric Programming and Analysis Workflows Praseeda Rajan,
Renuka Hegde,
Erin Dombrowsky,
Neelima Thanneer,
Yue Zhao		 source 6
PharmaSUG 2026 Challenges for small-mid size organization to build a GxP Compliant R Environment (CRE) Peng Zhang,
Tai Xie,
Peilin Zhou,
Christine Matakovich		 source 7
PharmaSUG 2026 Closing the Expectation Gap: A Leadership Framework for Clinical Programming Success Yuka Tanaka-Chambers source 14
PharmaSUG 2026 Closing the Loop: Validating AI-Generated SDTM Mappings using CDISC CORE and Synthetic Data Pietro Belligoli,
Constantin Weberpals,
Yarhy Flores Lopez		 source 7
PharmaSUG 2026 Code Hard and Put away Wet: Replacing Hardcoded SAS Software Quality Checks with Data-Driven Design and Defensive Programming Techniques That Validate Code and Control Data Troy Martin Hughes source 8
PharmaSUG 2026 Early Unblinding to Pharmacometrics (PMx) Data: Challenges, Practices, and Benefits Shweta Vadhavkar,
Jing Su		 source 6
PharmaSUG 2026 Effective Collaboration Between Business, Technical and Quality Units in Building GCP Systems Ravi Tejeshwar Reddy Gaddameedi,
Tarek Ahammad,
Elizabeth Arnold		 source 6
PharmaSUG 2026 Efficiency in Action: Automating Bookmarking for CRFs and Other Regulatory Submission Documents Srivathsa Ravikiran,
Sri Raghunadh Kakani,
Yang Xu		 source 11
PharmaSUG 2026 Engineering secure and reproducible R based clinical programming systems using open source DevSecOps practices. Indraneel Chakraborty source 11
PharmaSUG 2026 Enhancing ADaM Specification Validation and Generation of SAS Codes Using LLM through Amazon Bedrock: A Practical Framework Pavan Kumar Tatikonda,
Ryo Nakaya,
Sravan Kongara		 source 10
PharmaSUG 2026 Enhancing Quality and Efficiency in Clinical Programming with a Python-Based Automated File Comparison Tool Ratheesh Gunda source 10
PharmaSUG 2026 Enhancing Your SAS Viya Workflows with Python: Integrating Python's Open-Source Libraries with SAS using PROC PYTHON Ryan Paul Lafler,
Miguel Bravo Martinez del Valle		 source 13
PharmaSUG 2026 Friction to Flow: LLM-Based Automation of Clinical Data Workflows Pankaj Attri,
Matthew J. Becker		 source 8
PharmaSUG 2026 From Automation to Evidence: Governing LLMs and AI Agents in Real-World Outcomes Research Sherrine Eid source 17
PharmaSUG 2026 From Data Flood to Insight: Efficient SDTM Validation for High-Frequency Sources Seiko Yamazaki source 6
PharmaSUG 2026 From Manual to Automated": An SAS and R-Based Toolkit for Scalable SDTM Generation Hardik Sheth,
Eldho Alias		 source 8
PharmaSUG 2026 From Molecular Subtypes to Bedside Decisions: An AI Approach for Personalized Critical Care Recommendations Xi Jiang,
Scott McClain		 source 8
PharmaSUG 2026 From SAP to CSR: A Metadata-Driven TFL Workflow Bhavin Busa source 7
PharmaSUG 2026 From SAS Servers to AI Agentic SCEs: Integrating Agentic AI into GxP-Compliant Biometrics Workflows Kevin Lee source 5
PharmaSUG 2026 From Specification to SDTM at Speed: Deploying the SDTM Engine in Production Lynn Xiuling Zhang,
Jacques Lanoue,
Ulf Nielsen		 source 11
PharmaSUG 2026 From Statistical Programmer to Analytical Partner: Navigating the Future of Biostatistics Shivani Gupta source 6
PharmaSUG 2026 Global Macro for Master Tracker Zhuo Chen,
Ted Lystig,
Xiaofan Cao,
Tuan Nguyen		 source 8
PharmaSUG 2026 Goodbye SAS, Hello R: Practical Workflows for CDISC Standards Madeleine Penniston,
Alyssa M. Wittle		 source 12
PharmaSUG 2026 Has your SAS being 'MEAN' to your data yet? Ruth Marisol Rivera Barragan,
Isaac Vazquez		 source 8
PharmaSUG 2026 How to Train Your Dragon - Embedding AI in Clinical Workflow. Illustrated through Oncology Swimmer Plots Sri Pavan Vemuri source 7
PharmaSUG 2026 Implementing AI Agent-Driven Tools to Accelerate Clinical Research Workflows Nathan Lee source 13
PharmaSUG 2026 Interactive Safety Data Visualization Platform: Transforming Adverse Event Analysis Review Through Dynamic Dashboards in Clinical Trials Nishanth Chinthala,
Alexandr Hromcenco		 source 5
PharmaSUG 2026 Investigator-Initiated Trials: Navigating Statistical Programming Challenges with Practical Solutions Vikas Patil,
Ramesh Sundaram		 source 6
PharmaSUG 2026 It-s a Wonderful Lifecycle: Translating Statistical Programming into Modern Analytics Development Steve Nicholas source 3
PharmaSUG 2026 Keynote Presentation: Between Hype and Reality: Posit's Blueprint for Responsible GenAI in Life Sciences [presentation] Tareef Kawaf source 28
PharmaSUG 2026 Lessons to Guardrails: Operationalizing Early Checks for FDA Submission Readiness Jeff Xia source 6
PharmaSUG 2026 Leveraging LLMs in Data Science Web Applications: Beyond the Chat Interface Tyler Rowsell,
Nandini Thampi,
Dishank Jani,
Hao Xu		 source 18
PharmaSUG 2026 mkheader: An R Package for Automated Generation and Management of Program Headers in Clinical Trial Programming Gabriela Piasecki,
Laura Frederick		 source 8
PharmaSUG 2026 Navigating Early Career Challenges in PK/ADA Statistical Programming Diyu Yang,
Sandeep Meesala		 source 11
PharmaSUG 2026 One Study, Many Regulators: Submission-Ready Data Package for Multi-Region Filings Himanshu Patel,
Chintan Pandya		 source 10
PharmaSUG 2026 One Word Can Make All the Difference(s): Strengthening Validation Practices with PROC COMPARE John M. LaBore,
Joshua M. Horstman		 source 5
PharmaSUG 2026 Operationalizing Generative AI in Regulated Analytics: Applied Implementation Patterns for Enterprise Deployment Lida Gharibvand source 16
PharmaSUG 2026 Optimizing Clinical TFL Review with Python and Power BI: A Reproducible Workflow to Reduce QC Time and Improve Traceability Vijaya Lakshmi Cherakam,
Latha Donapati		 source 10
PharmaSUG 2026 Practical Lessons in AI-Assisted Metadata Conversion: From Database Specs to EDC and SDTM - Successes, Pitfalls, and Practical Implementation Jianlin Li,
Andy Shen		 source 11
PharmaSUG 2026 Ready for Next Level SDTMs and ADaMs Compliance with End-to-End Processing? Sunil Kumar Gupta,
Tomás Sabat Stofsel		 source 6
PharmaSUG 2026 Regression Analysis Made Easy Using R Zheyuan Yu,
Kirk Paul Lafler,
Zichun Gao,
Jiaxin Xu,
Zeqi Li,
Ruochen Shao		 source 32
PharmaSUG 2026 Reviewing and identifying issues in TFL macro parameter values with R shiny tool Mydhili Chelikani,
Ajay Kumar Tirkey		 source 5
PharmaSUG 2026 SAS Macro Debugging Techniques for Mere Mortals Kirk Paul Lafler source 35
PharmaSUG 2026 Schema-Preserving Generation of Clinical TLF Templates and Executable R Code via Iterative LLM-Guided Debugging Jaime Yan,
Ming Yang		 source 18
PharmaSUG 2026 Speeding Up Your Validation Process is As Easy As 1, 2 and 3 Alice M. Cheng source 19
PharmaSUG 2026 Stop Guessing. Start Matching. High-Impact SAS PRX Patterns in 20 minutes Charu Shankar source 7
PharmaSUG 2026 Streamlining Workflows in Real-World Evidence Studies with an R-Based Automation Tool Lihai Song source 16
PharmaSUG 2026 Structure for Success: Delivering a Complex, Accelerated NDA with Evolving Scope Tingting Tian,
Chao Su,
Erica Davis		 source 4
PharmaSUG 2026 SUPP to NSV: Transforming Data Representation for Improved Reviewer Utility Soumya Rajesh source 10
PharmaSUG 2026 The Next Frontier of Statistical Programming: Vibe Coding with AI Coding Agents into SAS, R & Python Kevin Lee,
Nathan Lee		 source 7
PharmaSUG 2026 The Problems Surrounding Rounding Jennifer McGrogan,
Mario Widel		 source 12
PharmaSUG 2026 Tips and Considerations for Preparing Health Data for Efficient and Accurate AI and LLM Modelling Louise S. Hadden source 5
PharmaSUG 2026 Transitioning from SAS to R: Implementing Reproducible R Workflows for TLF Validation Poornima Alavandi source 17
PharmaSUG 2026 Trust but Verify: How ChatGPT and SAS Can Be Comrades! Steven C. Black source 3
PharmaSUG 2026 Trusting Your R Packages: A Practical, Risk-Based Approach to External Package Validation Radhika Etikala,
Valeria Duran		 source 14
PharmaSUG 2026 Two Paths, One PK Journey: The Art of Balancing ADPC and ADNCA Ashok Abburi,
Rakhe Jacob,
Shibani Harite		 source 7
PharmaSUG 2026 Unleash the R-volution: A Blueprint for Building Package Validation Capabilities in our own organization Kevin Lee source 5
PharmaSUG 2026 Unleashing Open-Source Potential in SAS: The PharmaForest Ecosystem (proc pharmaforest data=open_source out=... ;) Sharad Chhetri,
Ryo Nakaya		 source 7
PharmaSUG 2026 Using Large Language Models to Validate TLF Outputs Against Statistical Review Comments: An End-to-End Python Framework Kishore Reddy Rollakanti source 10
PharmaSUG 2026 Virtual Data, Real Standards: Leveraging Data Simulation for Smarter Clinical Trials Sangeeta Shabadi,
Nitesh Patil,
Jonathan Henshaw		 source 16
PharmaSUG 2026 Visualizing PK and ADA Data at Scale: A Parameter-Driven SAS Macro for Box Plot Generation Prasannanjaneyulu Narisetty,
Anilkumar Anksapur		 source 9
PharmaSUG 2026 Why Standards Matter More Than Code in the Age of GenAI Bhavin Busa source 6
PHUSE US 2026 A Proc Compare Enhancement Macro Chris Weiner source
presentation source		 12
PHUSE US 2026 Accelerating Study Insights: Agile Data Visualisation Using R-Shiny Lin Yuan,
Heather Howell		 source
presentation source		 6
PHUSE US 2026 Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies Ummul Vara Qurratul Ain source
presentation source		 10
PHUSE US 2026 AI + Metadata : An Agentic Approach to Standards-Based Automation Kevin Burges source
presentation source		 10
PHUSE US 2026 AI as Copilot: Empowering, Not Replacing, Clinical Statistical Programmers Bhavesh Patkar source
presentation source		 5
PHUSE US 2026 AI Code Generator: Automating TFL Programming with ARS Metadata Bhavin Busa,
Navin Dedhia		 source
presentation source		 5
PHUSE US 2026 AI-Assisted Metadata Programming: A Transparent Framework for PCS in Lab Data Analysis Donghua Zeng source
presentation source		 21
PHUSE US 2026 AI-Driven Metadata Integration in Modern TLF Development Chuck Gelb source
presentation source		 4
PHUSE US 2026 AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach Kiran Kumar Gande source
presentation source		 7
PHUSE US 2026 AI-Optimised AESI Flagging: Streamlined SAS Hash Table Logic with Dynamic CALL EXECUTE and Metadata-Driven Specifications Hang Zhong,
Rashad Rasul,
Jiaqi Hu		 source
presentation source		 12
PHUSE US 2026 AI-powered approach for faster, more efficient authoring of clinical and regulatory documents Abhijeet Arora source
presentation source		 4
PHUSE US 2026 AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation Bo Ci source
presentation source		 4
PHUSE US 2026 AI-Supported Validation of Open-Source Software Sven Prasse source
presentation source		 5
PHUSE US 2026 An AI-Driven Framework for Automated Statistical Analysis Plan Generation in Clinical Trials Qingyuan Zhang source
presentation source		 8
PHUSE US 2026 Automated Code Generation: Evaluating Deterministic and Probabilistic Approaches Malan Bosman source
presentation source		 6
PHUSE US 2026 Automated Programming Consistency Checks: Enhancing Clinical Programming Quality, Efficiency and Scalability Narendra Babu Kolisetty source
presentation source		 5
PHUSE US 2026 Automating SDTM Compliance: A Web-Based SDTM Quality Control Tool Enhancing Clinical Trial Data Integrity Indraneel Narisetty,
Gopal Reddy Palvatla		 source
poster source		 11
PHUSE US 2026 Batch Cleaning of SAS Programs for Submission Readiness: An AI and Python Hybrid Approach Qiong Wei,
Qisen Luan		 source
presentation source		 9
PHUSE US 2026 Beyond Administration: Leveraging AI for Strategic Clinical Project Management Hayley MacKenzie source
presentation source		 7
PHUSE US 2026 Beyond Box-Checking: Five Best Practices for Embedding QC in Modern SCEs Chris McSpiritt source
presentation source		 6
PHUSE US 2026 Blind/Unblind Workflows: Secure Separation and Governance in the CDR SCE Kala Shivali,
Sachin Walawalkar		 source
presentation source		 11
PHUSE US 2026 Breaking Free from the xpt: Exploration of Dataset-JSON as an Alternative Transport File to Regulatory Agencies Benjamin Straub,
Samir Parmar		 source
presentation source		 8
PHUSE US 2026 Bridging Analysis and Strategy: The Transformative Role of Statistical Analysts in Drug Development Lingsong Yun source
presentation source		 17
PHUSE US 2026 Building Cross-Functional Regulatory and Programming Alignment for Successful Submissions Ben Kaspar,
Stephine Keeton		 source
presentation source		 6
PHUSE US 2026 Building for the Long Haul: Managing Scope, Refactoring, and CI/CD in Internal R Packages [presentation] Blazej (Moni) Neradilek,
Chenchen Yu		 source 14
PHUSE US 2026 Building High-Quality SDTM from Real-World Data: Lessons and Solutions Peishan(Jenny) Han,
Lixiao Chen		 source
presentation source		 4
PHUSE US 2026 Building Sustainable RBQM Frameworks: Challenges, Metrics and Real-World Results Nicole Stansbury source
poster source		 7
PHUSE US 2026 Building the Information Infrastructure Required for AI with Human in the Loop [presentation] Tomás Sabat Stofsel source 53
PHUSE US 2026 C&SP 203X Reinventing Clinical & Statistical programming for the AI - era [presentation] Sangeeta Bhattacharya source 19
PHUSE US 2026 Case Study: Leveraging CDISC CORE for Proactive SDTM Compliance and Submission Readiness Shivani Gupta source
presentation source		 6
PHUSE US 2026 CDISC 360i Demo: Automating from Study Design to Submission Darren Moreland source
presentation source		 6
PHUSE US 2026 Challenges and Solutions for Generating Synthetic CDISC Data Sundaresh Sankaran,
Catherine Briggs		 source
presentation source		 6
PHUSE US 2026 Check Yourself: Edit Checks and Queries Made Easy with Shiny Maya Gans source
presentation source		 8
PHUSE US 2026 CLIQ: An AI-Native Framework for Unified Clinical Trial Data Quality Assurance Gopinath Viswanathan source
presentation source		 5
PHUSE US 2026 Common Issues in BIMO Clinical Site Dataset Packages Michael Beers source
presentation source		 7
PHUSE US 2026 Consistency, Speed and Satisfaction: The Impact of TLF Mock Shell Centralisation Jie Yang source
presentation source		 6
PHUSE US 2026 Creating Synthetic Data that Mimics Real-World Data for Accurate Analysis Programming Development Linshan Yuan,
Weiwei Xu		 source
poster source		 5
PHUSE US 2026 Data Harmonisation for ISS and ISE: A Practical Checklist for Integration Success Qiong Wei,
Lily Cheng		 source
presentation source		 10
PHUSE US 2026 Democratising SDTM Transformations: AI-Assisted Function Development with Business-Driven Governance Ulf Nielsen,
Rostislav Markov		 source
presentation source		 11
PHUSE US 2026 Deterministic Foundations, AI Acceleration: Lessons from Developing Hybrid Clinical Review Tools Matthew Kumar,
Srinivas Veeragoni		 source
presentation source		 8
PHUSE US 2026 DevOps for Clinical Data Science: A Leap into the Future of Clinical Analysis Frikkie Oppel,
Riaan Van Straaten		 source
presentation source		 6
PHUSE US 2026 Digital Twins for Clinical Submissions: Simulating Regulatory Review Before Submission Heather Gorr,
Divya Kapoor		 source
presentation source		 9
PHUSE US 2026 Electronic Clinical Data Submissions Across Global Regulatory Authorities Sampath Madanu source
presentation source		 12
PHUSE US 2026 Electronic Submission of Population PK Analysis Files ... What's Your Modus Operandi? Luai R. Alzoubi source
presentation source		 13
PHUSE US 2026 Empowering Clinical Data Review with Interactive Patient-Level Visualisations in {teal} Dony Unardi source 4
PHUSE US 2026 Enabling Innovation: Lessons from the CDISC AI Innovation Challenge Julie Smiley source
presentation source		 10
PHUSE US 2026 Enhancing Clinical Trial Dataset Mapping with AI/ML Techniques: An Approach for CDISC Variable Prediction Parvee Kumar source
presentation source		 7
PHUSE US 2026 Ensuring Reliability of Medical Devices Through Statistical Oversight in the Age of AI Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 11
PHUSE US 2026 Evolve Clinical Data Management: A Python-Based Framework for Clinical Data Transformation with Generative AI Integration Mitul Patel,
Denis Sokolov		 source
presentation source		 5
PHUSE US 2026 From Automation to Audit-Readiness-AI's Growing Role in Statistical Programming Manoj Kumar Maripally source
presentation source		 4
PHUSE US 2026 From Black Box to Glass Box: A Context-Aware Approach to SDTM Mapping Automation with Interactive Visual Validation Rostislav Markov,
Jacques Lanoue		 source
presentation source		 12
PHUSE US 2026 From Chaos to Clarity: Can AI/ML Truly Decode Unstructured Clinical Data? Umamaheswari Adiseshan source
presentation source		 4
PHUSE US 2026 From Demo to Deployment: Bridging the AI Implementation Gap Melanie Hullings,
Emily Yates		 source
presentation source		 5
PHUSE US 2026 From SAS to Cursor: Vibe-Coding into SAS, R & Python Kevin Lee source
presentation source		 5
PHUSE US 2026 From SAS to R for TLGs: A Case Study on Implementing an 'R-First, SAS-QC' Workflow for Time-to-Event Analysis Adler Moisés Fallas Rodríguez source
presentation source		 8
PHUSE US 2026 From System Exports to Standards: Will Standardisation of External Vendor Data Redefine Clinical Data Management/Analysis? Sai Sri Sravya Deevi source
presentation source		 5
PHUSE US 2026 From Tables to Text: Revolutionizing CSR Development with Generative AI Eric Zloty source
presentation source		 10
PHUSE US 2026 Handle with Care: Study-Specific Assessment of R Package Risk Shannon Grant source
presentation source		 9
PHUSE US 2026 Harnessing AI to Streamline ClinicalTrials.gov PRS Submissions Anaya Rehman source
presentation source		 6
PHUSE US 2026 Harnessing AI: Enhancing Test Data Quality and Efficiency in Clinical Trial Set-Up Rita Pecuch,
Varun Jagadeesh		 source
poster source		 8
PHUSE US 2026 Harnessing LLM-Augmented Automation for ADaM Dataset Generation Anil Mogha,
Ghourav Garg		 source
presentation source		 9
PHUSE US 2026 How R We Now? Tracking Industry Progress in Adopting R and Open-Source for Clinical Reporting Andrzej Białaś,
Ashley Tarasiewicz		 source
presentation source		 8
PHUSE US 2026 Hybrid SAS-R-Python Pipelines: Coordinating Multi-Language Workflows Kala Shivali,
Ashwin Chaudhari		 source
presentation source		 12
PHUSE US 2026 IMAGING DATA ANONYMIZATION (IN CLINICAL RESEARCH) [presentation] Mutiullah Qureshi,
Anush Revazyan		 source 24
PHUSE US 2026 Implementing AI in Authoring Plain Language Summaries: Insights from a Live Project Experience [presentation] Vidhi Vashisht source 18
PHUSE US 2026 Integrating LLMs Using R Shiny for Clinical Data Review by Ensuring Data Privacy and Validity Peng Zhang source
presentation source		 5
PHUSE US 2026 Interactive and Instant: GenAI-Driven Creation of Clinical Trial Applications Marcin Dubel source
presentation source		 12
PHUSE US 2026 Is the AI Coding Assistant Catching Your Vibe? A Practical Assessment of Generative AI Tools in Clinical Data Analytics Chendi Liao source
presentation source		 6
PHUSE US 2026 Key Guidelines, Tricks and Experiences for the PMDA and a Comparison with FDA and NMPA CDE Submissions Ramesh Potluri source
presentation source		 5
PHUSE US 2026 Leadership Strategies and Practical Frameworks for Statistical Programming in a Multilingual Era Shaveta Bansal source
presentation source		 8
PHUSE US 2026 Leveraging AI for Clinical Data Transparency: Automating Complex Disclosure Workflows [presentation] Woo Song source 21
PHUSE US 2026 Leveraging Python for Synthetic External Vendor Data Generation for eCOA and ePRO Hitesh Raval source
presentation source		 9
PHUSE US 2026 Machine Learning Model for Risk Qualification of R Libraries Felipe Jimenez,
Luis Diego Leal Chaves		 source
presentation source		 13
PHUSE US 2026 Manual vs AI-Assisted Workflows: Practical Strategies for Complex R Package Development [presentation] Vedha Viyash source 41
PHUSE US 2026 Metadata-Driven TFL Generation: End-to-End Automation from Protocol to Output Bill Qubeck source
presentation source		 12
PHUSE US 2026 mkheader: An R Package for Automated Generation and Management of Program Headers in Clinical Trial Programming Laura Frederick source
presentation source		 8
PHUSE US 2026 Modernising Statistical Computing Environments: Scalable, AI-Ready and GxP-Compliant by Design Amanda Lopuski,
Rafael Pereira		 source
presentation source		 7
PHUSE US 2026 Multi-Standard Submission - Process, Learnings and Recommendations for Best Practice Mukesh Garg source
presentation source		 8
PHUSE US 2026 Next Generation QC Workflow Optimisation: Current Practices and Future Directions from the Emerging Trends & Innovation Working Group Matthew Finnemeyer,
Caroline Phares		 source
presentation source		 13
PHUSE US 2026 Next-Gen Statistical Programming: AI as Your Coding Co-Pilot in R Sumesh Kalappurakal,
Mark Rothe		 source
presentation source		 17
PHUSE US 2026 Not Another Other: Bridging Data Collection with SDTM Mapping Without Open Text Fields Aminta Jimenez source
presentation source		 6
PHUSE US 2026 One eye open, one eye closed: How to approach masking in open-label oncology study Abhay Kumar source
presentation source		 8
PHUSE US 2026 One Workflow to Rule Them All: Uniting Anonymisation and Confidential Information [presentation] Nirpal Virdee,
Lee Berry		 source 14
PHUSE US 2026 Open Source as a Strategic Enabler for EMA Submissions: An R Shiny Approach Marckenley Mercie source
presentation source		 5
PHUSE US 2026 Open Source Pavilion: Metadata-driven Automation Interactive [presentation] Orla Doyle,
Rammprasad Ganapathy		 source 28
PHUSE US 2026 Optimising Flexibility and Consistency in Statistical Programming for Platform Trials: Practical Approaches to Data Cut, SDTM, ADaM and TFL Setup Kelly Fang,
Zhen (Laura) Li		 source
poster source		 6
PHUSE US 2026 Optimising Output Review: A Targeted and Scalable RTF Validation Framework Siddharth Kumar source
presentation source		 7
PHUSE US 2026 Optimising Trial Design Dataset Creation To Minimise P21 Compliance Issues Rama Kudaravalli source
presentation source		 6
PHUSE US 2026 Orchestrating Efficiency: Symphony and Composer in Clinical Reporting Margaret Wishart,
Karma Tarap		 source
presentation source		 6
PHUSE US 2026 Orchestrating Multi-Agent Workflows for Complex Trial Data Integration Rajesh Hagalwadi source 8
PHUSE US 2026 Performance-Driven Risk Oversight for AI Agents in Clinical Research Laxmiraju Kandikatla source
presentation source		 10
PHUSE US 2026 Pre-Conf as a Data Review Layer: An AbbVie Case Study for Optimised Clinical Data Flow Gian Prakash,
Aman Thukral		 source
presentation source		 2
PHUSE US 2026 Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation Rajesh Hagalwadi source
presentation source		 8
PHUSE US 2026 Programmatically Modifying a Document Created by ODS Excel: Adding a Password and Concatenating Multiple Worksheets into One Jeffrey P. Meyers source
presentation source		 20
PHUSE US 2026 Prompt Engineering in Gen AI: A Game Changer for the professional development of Statistical Programmers and Data Scientists Kevin Lee source
presentation source		 8
PHUSE US 2026 QC Without Code: ChatGPT Enterprise for Sponsor Oversight of Outsourced TFLs Jenny Price,
Brad Moore		 source
presentation source		 9
PHUSE US 2026 R We There Yet? A Readiness-Assessment Framework for Adoption of R and Open-Source Solutions Narasimhan Kaliyamoorthy source
presentation source		 7
PHUSE US 2026 Ready for Next-Level SDTM and ADaM Compliance with End-to-End Processing? Sunil Kumar Gupta source
presentation source		 4
PHUSE US 2026 Real-Time AI-Driven TLF Generation with GAutoTLF Hao Xu,
Tyler Rowsell		 source
presentation source		 14
PHUSE US 2026 Reproducible Validation Framework for R & Python in GxP Bill Qubeck,
Kala Shivali		 source
presentation source		 10
PHUSE US 2026 Rethinking Data Quality - From Fragmented Checks to Connected Insights Eva Kelty source
presentation source		 6
PHUSE US 2026 Revolutionising Clinical Data Transformation: Harnessing GenAI and Open Source for Automated SDTM Conversion Hao (Harry) Chen,
Jian Hua Hang		 source
presentation source		 6
PHUSE US 2026 Safety at a Glance: Enhancing Participant Monitoring in Oncology Trials with Data Visualisation Agnieszka Bel source
presentation source		 10
PHUSE US 2026 Scalable Anonymisation for Complex Clinical Trial Data: A Sponsor-Vendor Perspective [presentation] Abby McDonell source 30
PHUSE US 2026 Scaling for the Future: Transitioning from In-House to Commercial Statistical Computing Environments Hemu Shere,
Majdoub Haloui		 source
presentation source		 8
PHUSE US 2026 SCE White Paper 2.0 - A Modernised Framework for the Next Generation of Data Analysis Mark Bynens source
presentation source		 7
PHUSE US 2026 SpecToSAS: AI-Powered SAS Code Generation from Study Specs Gargee Vaidya,
Lluis Gimenez		 source
presentation source		 12
PHUSE US 2026 Standardising Exposure-Response Data for Modelling and Simulation Using CDISC Principles and {admiral} Jeffrey Dickinson source
presentation source		 12
PHUSE US 2026 Straight to the Source: Interactive Visual Dashboards for Data Cleaning Daniel Smith source
presentation source		 8
PHUSE US 2026 Stronger Together: Tech Pathways to Workforce Resilience in Pharma Jaimin Patel source
presentation source		 11
PHUSE US 2026 Submitting eCRT SDTM Data for ISS Aida Swierk source
presentation source		 10
PHUSE US 2026 Submitting RWD: Where We Are and Where We Are Going Ingeborg Holt,
Sarah Ferko,
Jeffrey M. Abolafia		 source
presentation source		 24
PHUSE US 2026 The AI Reckoning: Why Statistical Programmers Must Evolve Now Bhavin Busa source
presentation source		 6
PHUSE US 2026 The Biopharmaceutical Industry Leadership's Guide to Post-Acquisition: Dos and Don'ts Shereen Anisa Khwajazada source
presentation source		 6
PHUSE US 2026 The Clinical Data Lake: Empowering the Data Caterer Vision with Veeva, SAS and Open Source Sascha Ahrweiler,
Holger Dach		 source
presentation source		 7
PHUSE US 2026 The Journey Beyond Anonymisation: Exploring the Secondary Use of Clinical Trial Data Yuliia Cherednichenko,
Tetiana Skorokhod		 source
presentation source		 18
PHUSE US 2026 The SMART + Framework for AI Systems Laxmiraju Kandikatla source
poster source		 9
PHUSE US 2026 The Use of Git in Statistical Programming Rita Pecuch,
Jim Coates		 source
presentation source		 9
PHUSE US 2026 Thriving in Change: Building People, Process and Technology Capabilities in Statistical Programming Ajay Aiyer source
presentation source		 5
PHUSE US 2026 Transforming Clinical Trials: Present Innovations and Future Paths with AI and Agentic Tools Sandeep Purwar source
presentation source		 5
PHUSE US 2026 Transparent Models or Black Box? Using Generative AI to Generate Real-World Intelligence Sherrine Eid source
presentation source		 7
PHUSE US 2026 Trends in eSub Evaluation Findings: A Twenty-Year Perspective on Data Traceability Lisa Kaye Brooks source
presentation source		 9
PHUSE US 2026 Utilizing AI for Automated Conversion of ADaM Specifications to R Code Alice Ehmann,
Kjersten Offenbecker		 source
presentation source		 9
PHUSE US 2026 Validating AI in GxP: Test Harnesses, Guardrails and Compliance Controls Bill Qubeck source
presentation source		 14
PHUSE US 2026 Validation Strategies for Agentic AI Platforms in GxP-Regulated Clinical Data Environments Rajesh Hagalwadi source
presentation source		 9
PHUSE US 2026 What Pharma Can Learn from Data Science Outside the Industry Kris Wenzel,
Liz Cole		 source
presentation source		 11
PHUSE US 2026 You Can't Just Cut the Gordian Knot: Approaches to Real-World Data Quality S. Robert Collins source
presentation source		 4
PHUSE US 2026 Your Brain on AI: What We Gain, What We Risk, and How To Harness AI Without Losing Trial Integrity Aditya Gadiko source
presentation source		 6
PHUSE US 2026 {gsm} Operations - Implementing an Open Central Monitoring Framework Jenn Krohn source
presentation source		 6
PHUSE APAC 2026 A Hybrid Machine Learning Framework for Predicting Himanshu Dadhich,
Nikhil Khandelwal		 source
presentation source		 26
PHUSE APAC 2026 Accelerating Clinical Study Startup: Automated eCRF Generation from Clinical Protocol Document Saiteja Nalla,
Kedar Deshpande		 source
presentation source		 9
PHUSE APAC 2026 Accelerating Pharma Innovation: The Role of SAS Synthetic Data Soundarya Palanisamy,
Anand Phand		 source
presentation source		 7
PHUSE APAC 2026 Accelerating Productivity: Understand How SAS Viya Copilot Helps Users Work More Effectively Across the Analytics Life Cycle Ajay Tomar source
presentation source		 6
PHUSE APAC 2026 Accelerating Regulatory Submissions with R: A Scalable and Compliant Approach Priyanka Sawant source
presentation source		 6
PHUSE APAC 2026 AI for Adverse Event Signal Detection: Moving Beyond Monika Monika source
presentation source		 10
PHUSE APAC 2026 AI-Driven Protocol Review: Accelerating and Simplifying Review Aditya Moogi source
poster source		 14
PHUSE APAC 2026 An Agentic Approach to Validation, Influencing Reporting with AI Junibel R. De Leon,
Karthik Palani		 source
presentation source		 5
PHUSE APAC 2026 An AI-Powered Digital Standards Library for Accelerated Regulatory Submissions Anshu Aman,
Varun Sethuraman		 source
presentation source		 4
PHUSE APAC 2026 An Open-Source R Implementation of a Validated Claims-Based Algorithm to Identify Pregnancy Episodes Dhirishiya P,
Onkar Kshirsagar		 source
presentation source		 7
PHUSE APAC 2026 Automated Character Length Audits to Optimize SUPPVAR Integration Rammohan Konda source
presentation source		 7
PHUSE APAC 2026 Batch Execution of CDISC SDTM/ADaM Programs with R Batch Execution,
Denny Sebastian,
Mohin K Mohanan		 source
presentation source		 8
PHUSE APAC 2026 Beyond Basics: Essential R Code Tips and Tricks for Clinical Programmers Sanjana Jayacumar source
presentation source		 6
PHUSE APAC 2026 Beyond Code: Elevating NextGen Statistical Programmers through Cross-Functional Learnings Saumil Tripathi source
presentation source		 7
PHUSE APAC 2026 Beyond Sign-Off: Practical Tips for Meaningful Reviews by Leads Jisna Joseph,
Bimal Thomas		 source
presentation source		 7
PHUSE APAC 2026 BioBERT-Powered Event Classification - A Machine Learning Approach in Pyhton Gayathiri Premkumar source
poster source		 7
PHUSE APAC 2026 Bridging the Divide: Harmonizing HL7 FHIR, OMOP, and CDISC Standards for Regulatory-Grade Real-World Evidence Yasa Sreekanth Reddy source
presentation source		 9
PHUSE APAC 2026 Building a Trustworthy RWD Analytics Platform Key Considerations and Strategies William Yuanhao Kuan,
Ashwini Reddy		 source
presentation source		 7
PHUSE APAC 2026 Connecting Open-Source and Enterprise Software: Enhancing Phase III Clinical Trial Design Through R Integration in East Horizon Pradip Maske,
Anoop Rawat		 source
presentation source		 6
PHUSE APAC 2026 Creating a clinical trial data package for Regulatory submission Pradip Sivaramakrishnan,
Anbarasan Durairajan		 source
poster source		 11
PHUSE APAC 2026 Critical & Sensitive Information (CSI) Paper AS02 Revolutionizing Clinical Quality: A Frontier Approach with Quality by Design (QbD), Infrastructure Modernization and Data-Driven Analytics Priti Gupta,
Deepa Balaji		 source
presentation source		 12
PHUSE APAC 2026 Cross-Platform Programming for Clinical Development: Practical Use of SAS, R, and Python Sandeep Lakkol,
Vinay S		 source
presentation source		 7
PHUSE APAC 2026 Decoding NCI-CTCAE: Smarter Lab Grading Through Metadata and Automation Zulfat Kapadia source
presentation source		 9
PHUSE APAC 2026 Development of Statistical Scientists for Pharmaceutical Drug Development at India Global Capability Centres Suresh Chenji source
presentation source		 6
PHUSE APAC 2026 E2E Clinical Metadata Journey: 'Single Source of Truth' to Accelerate Clinical Research - From Collection and Tabulation to Analysis and Reporting Indumathi Narasetty source
presentation source		 9
PHUSE APAC 2026 eDataValidator (eDV): Validating Clinical Data for Confident Submissions Pratika Chatterjee source
poster source		 4
PHUSE APAC 2026 Elevating transparency in data standardization Applying XAI in SDTM, ADaM, and TLF Generation Shakila Jagadeesan source
presentation source		 10
PHUSE APAC 2026 Embracing the Semantic Shift: SDTMIG 4.0 and the Rise of Intelligent Clinical Data Standards Binitha Sathyabhama,
Venkateswarlu Layam		 source
presentation source		 6
PHUSE APAC 2026 Empowering Clinical Research Teams in the Age of AI: Building Resilience and Innovation in APAC Ashwini Mathur source
presentation source		 13
PHUSE APAC 2026 Empowering Statistical Programmers: An Advanced Statistical Computing Environment [poster] Nikhil Khandelwal source 1
PHUSE APAC 2026 End-to-End Continuous Integration and Deployment Pipeline for Multi Language Analytics Applications: A Clinical Data Management Case Study Avinash Patnaik,
Varun Sethuraman		 source
presentation source		 7
PHUSE APAC 2026 Enhancing Clinical Data Standardization Through Intelligent Mapping of eCRF Forms and Items to SDTM Saransh Khandelwal,
Kedar Deshpande		 source
presentation source		 9
PHUSE APAC 2026 Enhancing Real-Time Clinical Reporting with R Shiny and Large Language Models: Automated Code Generation and Dynamic TLG Visualization Mahesh Divakaran source
presentation source		 10
PHUSE APAC 2026 Ensuring Confidence in Trial Simulations: An Automated Testing Pipeline Hema Patil,
Anoop Rawat		 source
poster source		 3
PHUSE APAC 2026 Exploring Underutilized Capabilities in SAS - Approaches Seldom Used Diganta Bose source
presentation source		 9
PHUSE APAC 2026 From Data to Digital Phenotypes: Modelling High-Dimensional PROs and Actigraphy Data in Decentralized Psychiatric Trials Sakshi Kaushik source
presentation source		 14
PHUSE APAC 2026 From Document to Derivation: Automating ADaM Variable and Endpoint Code Generation Using Study Specifications and Clinical Documents Alisha D,
Sruthy Biju		 source
presentation source		 6
PHUSE APAC 2026 From Information to Insights: Harnessing Centralized Monitoring in RBQM to proactively identify and mitigate risks in Clinical Trials Bismita Borkakoty,
Priyangshu Chowdhury		 source
presentation source		 12
PHUSE APAC 2026 From XPT to JSON for submissions: Are we ready for the change? Poorna Suresh,
Bill Qubeck		 source
presentation source		 20
PHUSE APAC 2026 GraphStudio: Simplifying the Journey from Clinical Data to Submission-Ready Visuals Poonam Deshmukh source
presentation source		 5
PHUSE APAC 2026 Harnessing the Power of Safety Database Ravichandra Hugar,
Aparna Sarju		 source
presentation source		 9
PHUSE APAC 2026 How Central Statistical Monitoring Drives a Risk-Based Approach to Clinical Trial Monitoring Charles Warne source
presentation source		 9
PHUSE APAC 2026 Innovating Clinical Signal Surveillance: Real-Time Dashboards for Protocol and PK Deviation Monitoring Rubina Pathan,
Jinu J. Nair		 source
poster source		 7
PHUSE APAC 2026 Integrating R Programming and Generative AI for Prompt-Driven Clinical Trial Data Analysis Vyom Bhatt source
presentation source		 4
PHUSE APAC 2026 Integrating Real-World Evidence (RWE) and Digital Health Technologies (DHTs) with AI for Enhanced Patient Outcomes (RE) Varun Sethuraman source
presentation source		 10
PHUSE APAC 2026 Key Programmer Tasks for Japan Submission and Programmer Role Allocation Yoko Yamaguchi source
presentation source		 5
PHUSE APAC 2026 Legacy to Leading Edge: Reinventing Biostats Programming with Technology, AI, and Agile Innovation Deepthi BM source
presentation source		 8
PHUSE APAC 2026 Leveraging Data Visualization from Clinical Trial Registries for Enhanced Insights Gowtham Manickaselvam,
Anand Boopalan		 source
presentation source		 8
PHUSE APAC 2026 MetaSuite: Empowering Network Meta-Analysis in Clinical Research Through Interactive Visualizations and User-Friendly Evidence Synthesis Tools Hirak Sen Roy source
poster source		 12
PHUSE APAC 2026 Next-Gen Transport Standards: Dataset-JSON from a Programmer's Lens Venkata Koteswara Rao Rayala source
presentation source		 6
PHUSE APAC 2026 Open-Source Frameworks for Scalable Data Quality Orchestration in Clinical Data Pipelines Pavan Kumar Reddy Sakam,
Vinodh Kumar Jestadi		 source
presentation source		 10
PHUSE APAC 2026 Optimising Few-Shot Prompting Strategies for Scalable and Reliable Enterprise AI Applications Varun Sethuraman,
Avinash Patnaik		 source
presentation source		 10
PHUSE APAC 2026 Optimising Pinnacle 21 Compliance with Automated Metadata Updates Karthik Palani source
presentation source		 7
PHUSE APAC 2026 Optimizing Vendor Data Mapping: A DTS-Driven Approach to SDTM Readiness Chandan Patel Malyala,
Prasad Attini		 source
poster source		 4
PHUSE APAC 2026 PerRSSSistance Is the Key: A 5-Year Transition from Associate to Study Lead Programmer the EQ Way! Likhita Kolli source
presentation source		 6
PHUSE APAC 2026 Precision Timing - Implementing Epoch Calculations with R for Clinical Data Integrity Sheik Ibrahim,
Ram Mohan Konda		 source
presentation source		 6
PHUSE APAC 2026 RADAR: Rapid AGILE Development and Automated Reporting for Clinical Data Standards (Using R Shiny based Application) Neeraj Sharma,
Dhirendra Kumar		 source
presentation source		 5
PHUSE APAC 2026 RbQM: An Intersection of Cross-Functional Collaboration of Clinical, Analytics, Statistics and Technology Domains for Better Clinical Trial Governance Abhishek Ghosh source
presentation source		 10
PHUSE APAC 2026 Reimagining Clinical Data Exploration: Animated Data Visualizations for Interactive Clinical Trial Storytelling Tony Mathew source
presentation source		 6
PHUSE APAC 2026 Reimagining CSR: From TFLs to Dynamic Text with Generative AI Kala Shivali,
Sandeep Sudhakar,
Madan Kumar Pernati,
Sai Sharat Paila		 source
presentation source		 12
PHUSE APAC 2026 RIP – Inconsistent Metadata Specifications with RAP (R And Python) Generate Specs Faster and Detect Early Errors to Speed Up Submissions Kairav Tarmaster source
presentation source		 8
PHUSE APAC 2026 Robust Python Coding Techniques to Automate, Validate, and Strengthen Data Quality Checks in Complex Pipelines Pavan Kumar Reddy Sakam,
Sapan Soni		 source
presentation source		 3
PHUSE APAC 2026 SAS to R: Opportunities and Challenges in SDTM and ADaM Transformation Jalendhar Ettedi,
Padmashree Jahagirdar		 source
presentation source		 5
PHUSE APAC 2026 Sparc AI: A Native Metadata-Driven Engine for End-to-End Clinical Trial Analysis Anil Mogha,
Ashwin Kumar Nyalakonda,
Gourav Garg		 source
presentation source		 7
PHUSE APAC 2026 Standardization of Auxiliary Medicinal Products (AxMPs) in Clinical Trials Divya Mekala,
Manoj Mishra		 source
presentation source		 3
PHUSE APAC 2026 Streamlining SEND Dataset Generation: Enhancing Efficiency and Quality with Shiny Dashboards Madhulika Mishra,
Michael Denieu		 source
presentation source		 10
PHUSE APAC 2026 Streamlining Statistical Programming with R: ADaM and TLF Validation Through a Compliant R Programming Environment Mangesh Kalsekar source
presentation source		 10
PHUSE APAC 2026 The AI-Powered Scribe: An Agentic Framework for Automated CSR Authoring Allwyn Dsouza source
presentation source		 7
PHUSE APAC 2026 Unlock Deeper Clinical Insights: A Unified Approach to Data Analysis with SAS, R, and Python Pavan Kallurkar source
presentation source		 7
PHUSE APAC 2026 Unlocking Biopharma Insights: A RAG-Enabled AI Framework for Rapid Access to Clinical and Nonclinical Study Data Lakshmi B K,
Sapna Chandran		 source
presentation source		 9
PHUSE APAC 2026 ValoRpacks - self-service R package validation Marc Jantke source
presentation source		 5
PHUSE APAC 2026 Veristat TLF Packager (GUI): An Interactive Tool for Automated Creation of Combined PDFs with Bookmarks and Clickable Table of Contents Manivannan Mathialagan source
presentation source		 6
PHUSE APAC 2026 Workforce 360°: Future-Proofing Leadership Models Sugumaran Muthuraj source
presentation source		 10
PHUSE EU 2025 A Git-Driven Automated Workflow for Efficient ADaM and TFL Validation and Quality Control Documentation Xavier Chenede,
Paulin Charliquart		 source
presentation source		 8
PHUSE EU 2025 ADaM Conformance Rules: Bridging the Gap Between Standards and Practice Rafik Ghazaryan source
presentation source		 6
PHUSE EU 2025 AI Chatbot in an SCE Shivoy Pandita,
Marc Jantke		 source
presentation source		 8
PHUSE EU 2025 AI-Native Issue-Risk Intelligence: Connecting Issues to Known Risks and Identifying Emerging Risks Lawrence Dennison-Hall,
Alok Singh		 source
presentation source		 14
PHUSE EU 2025 Are Study Deliverables Under Your RADAR? Deepak Pandarivasagan,
Piotr Karasiewicz		 source
poster source		 5
PHUSE EU 2025 Aspirations of language agnosticism - experiences expanding the programming stack with python Kaj Arai Hejlesen,
Michael Svingel		 source
presentation source		 9
PHUSE EU 2025 Being a Perfect Programmer: Code Smarter, Review Sharper, and Embrace the Future Akhil Vijayan,
Limna Salim		 source
presentation source		 11
PHUSE EU 2025 Beyond the Code: Evolving from Clinical Programmer to Strategic Partner in Clinical Trials Anastasiia Khoba source
presentation source		 4
PHUSE EU 2025 Blockchain for Secure and Transparent Clinical Trials Raj Kumar source
presentation source		 8
PHUSE EU 2025 Blockr: Advancing Data Pipelines with DAG-Based Workflows and LLM Orchestration Karma Tarap,
Nicolas Bennet		 source
presentation source		 7
PHUSE EU 2025 Bridging Languages: Building Integrated Analytical Tools with SAS, R, and Python for Clinical Data Margarethe Povey source
presentation source		 7
PHUSE EU 2025 CDISCDataset.com: An AI-Powered Platform for Generating Synthetic CDISC-Compliant SDTM and ADaM Datasets, CRFs, Protocols, TFL Shells, and Specs Ara Baghumyan source
presentation source		 2
PHUSE EU 2025 Check Yourself: Edit Checks and Queries Made Easy with Shiny [presentation] Kirsty R. Lauderdale,
Maya Gans		 source 10
PHUSE EU 2025 Code Compare A Machine Learning Based Framework for Code Plagiarism Analysis and Detection Saroj Kumar Jena source
presentation source		 6
PHUSE EU 2025 Collaborative Industry Open-Source Solutions for Clinical Trial Quality Management Björn Koneswarakantha,
Frederik Collin		 source
presentation source		 9
PHUSE EU 2025 Decode Your Future: A Professional Development Growth Map for Programmers and Statisticians by Role Type Diana Stuart source
poster source		 8
PHUSE EU 2025 Detecting Logical Errors in Clinical Programming by Applying ChatGPT Illia Skliar source
presentation source		 9
PHUSE EU 2025 Developing a Compliant and Scalable Statistical Computing Environment Based on PHUSE SCE Guidelines Casey Higgins,
Mark Sellors		 source 5
PHUSE EU 2025 Disruption in Clinical Trials: How Conventional Roles Are Set to Change Amit Javkhedkar,
Kala Shivali		 source
presentation source		 7
PHUSE EU 2025 Efficient Conversion of SDTM/ADaM Specifications from Excel to Define-XML v2.1 Using Pinnacle 21 Community Hiromi Okada,
Seiko Yamazaki		 source
presentation source		 15
PHUSE EU 2025 Elevating Data Advocacy: Transforming Dashboards with React.JS and AI-Powered Innovation Richard Becker,
Markus Niederstrasser		 source
presentation source		 8
PHUSE EU 2025 End-to-End R: Where To Start? Luke Thompson source
presentation source		 6
PHUSE EU 2025 Enhancing Stats Programming Efficiency in Pharma: Harnessing Large Language Models (LLMs) such as ChatGPT for Accelerated Development and Validation Andy Ratcliffe source
presentation source		 3
PHUSE EU 2025 Enhancing the Validation and Simulation of Real-World Multi-Site Data with R Nikolay Trankov,
Elena Chaparova,
Alexandrina Lambova,
Stavros Oikonomou		 source
presentation source		 11
PHUSE EU 2025 Evaluating the Use of Real-World Data (RWD) as a Synthetic Control Group: A Statistical Approach Vasiliki Economou,
Dimitrios Kounelis		 source
poster source		 17
PHUSE EU 2025 FAIRchive Cloud-Based and GxP-Compliant Long-Term Archiving for Clinical Trial Data Frank Stoinski,
Alexander Lüders		 source
presentation source		 10
PHUSE EU 2025 FHIR for RWD Submissions: Why a US Regulation Signals a Global Shift And What You Need To Do Now Sanyogeeta Andhale,
Nachiket Thakkar		 source
presentation source		 11
PHUSE EU 2025 Framework for Integrating Omics Data with Other Clinical and NonClinical Data Sources Mehdi Harek,
Jonathon Keeney		 source
presentation source		 12
PHUSE EU 2025 From Breaking Bad to Breaking Data: Unlocking TFL PDFs Andrés Käsa,
Darius Tetsa		 source
presentation source		 13
PHUSE EU 2025 From Hassle to Harmony: Unifying Code Quality Experience in R and SAS Michael Thomsen source
presentation source		 9
PHUSE EU 2025 From Mock to Output: Using Generative AI to Write SAS Code for Standards-Based TFLs Kala Shivali,
Bhuvana Venkatappa		 source
presentation source		 16
PHUSE EU 2025 From Outsourced to Open Source: Denalis R-Driven Transformation in Biometrics Michael Thorpe,
Thomas Neitmann		 source
presentation source		 4
PHUSE EU 2025 From Standards to Strategy: Customising CDISC Open Rules for the TMF Reference Model [presentation] Irina Sargsyan,
Sabine Jonas		 source 20
PHUSE EU 2025 From Static Archives to Analytical Intelligence: Transforming Statistical Analysis Value Through Standardization Ilan Carmeli source
presentation source		 8
PHUSE EU 2025 From XPT to Dataset-JSON: Enabling Real-Time Validation and Streamlined Submissions Hugo Signol,
Sebastià Barceló		 source
presentation source		 8
PHUSE EU 2025 How Can Agile R Package Validation Workflows Be Achieved? Sophia Stahl-Toyota,
Maximilian Kreienbaum		 source
poster source		 11
PHUSE EU 2025 How to Identify and Operationalize GenAI Use Cases Which Really Help You Christoph Bergen,
Luis Wirth		 source
presentation source		 8
PHUSE EU 2025 Human in the Middle: Accelerating with AI, Anchored in Quality Melanie Hullings,
Christopher H. White		 source
presentation source		 6
PHUSE EU 2025 Hybrid Way To Develop Patient Narratives [presentation] Loskutov Volodymyr,
Oleh Buno		 source 16
PHUSE EU 2025 JSON for Submissions: Why You Should Care, What You Need To Know, and What To Do Now Bill Qubeck,
Sridhar Vijendra		 source
presentation source		 13
PHUSE EU 2025 Keeping it Real: A Tiered Approach to Real-World Data Quality by Leveraging Synthetic Data Lisa Murch,
William Kuan		 source
presentation source		 10
PHUSE EU 2025 Large Language Models as Medical Writers: Challenges and Solutions Ioannis Reklos,
Alexandrina Lambova		 source
presentation source		 10
PHUSE EU 2025 Launching CDISC CORE v1.0: A New Standard for Automated Study Conformance [presentation] Tomás Sabat Stofsel,
Nick De Donder		 source 44
PHUSE EU 2025 Lets Not Get Lost in Translation: Open-Source Adoption at Novartis Mark Baillie,
Orla Doyle		 source
presentation source		 6
PHUSE EU 2025 Leveraging AI for Seamless SAS to R Migration: Challenges and Opportunities Milena Kraus,
Corrina Stoeckinger		 source
presentation source		 11
PHUSE EU 2025 Leveraging Generative AI for SAS Macro Testing and Test Data Preparation Denis Gavriusev source
presentation source		 10
PHUSE EU 2025 Leveraging LLM for R Shiny App Code Development: A Case Study with Event Prediction [presentation] Yirong Cao source 15
PHUSE EU 2025 Leveraging on R packages for HTA Analysis & Reporting: Our Developer Journey Jean Muller,
Wenyu Li		 source
presentation source		 8
PHUSE EU 2025 May the Code Be with You: Entering the pharmaverse Galaxy [presentation] Kirsty R. Lauderdale source 17
PHUSE EU 2025 Micro-Decisions, Macro Impact: The Role of Agile Thinking in Every Line of Code Eswara Satyanarayana Gunisetti source
presentation source		 5
PHUSE EU 2025 Mind the Gap: Imputing Missing Dosing Times in QD & BID Regimens Using ADPPK Guidelines Aschwin van der Giesen,
Gerly van der Vleuten		 source
presentation source		 8
PHUSE EU 2025 Modernising Clinical Data Science: Best Practices for a Unified, Governed SCE [presentation] Matthew Tendler source 13
PHUSE EU 2025 More Science, Less Bookkeeping: Our Path to Hyper-Efficient ADaM Program Generation via AI, Process Improvements, and Good Old-Fashioned Programming Matthew Phelps,
Nicolai Skov Johnse		 source
presentation source		 10
PHUSE EU 2025 No Patients? No Problem Define Your Study Data with Python at the CORE John McDade source
presentation source		 11
PHUSE EU 2025 Our Journey in Integrating External Control Arms (ECAs) and Real-World Data (RWD) for Rare Disease Trials Cyril Sombrin,
Gautham Selvaraj		 source
poster source		 4
PHUSE EU 2025 Pharmacokinetics Is Simple... Sometimes Vincent Buchheit source
presentation source		 12
PHUSE EU 2025 Powering Up Programming Milestones: From Chaos to Cohesion Maciej Wysokiński,
Hitesh Thacker		 source
presentation source		 8
PHUSE EU 2025 Qualitative ADaM Datasets and Define-XML Without Using ADaM Specs Pieter Coppens source
presentation source		 4
PHUSE EU 2025 Re-Inventing the Deliverable Tracker - from Excel to Dashboard Megan Harries source
presentation source		 8
PHUSE EU 2025 Reproducibility, Lineage and Control: Building a Traceability Framework for the Modern Clinical Trial Bill Qubeck,
Shilpa Sood		 source
poster source		 6
PHUSE EU 2025 Rethinking Automation in the AI Era James Zee,
Liz Cole		 source
presentation source		 4
PHUSE EU 2025 risk.assessr: extracting OOP function details Edward Gillian,
Hugo Bottois,
Paulin Charliquart		 source
presentation source		 10
PHUSE EU 2025 SAS Viya and Posit Team Integration: Git-Enabled, AI-Driven Clinical Reporting with Azure and Open-Source Technologies Maksym Prykolota,
Vaibhav Kulkarni		 source
presentation source		 9
PHUSE EU 2025 Shots to Stats: AI's Take on Alcohol Units Liam Clothier source
poster source		 6
PHUSE EU 2025 Swarming Success: Optimising Efficiency in Statistical Programming Lea Zittlau,
Saskia Ständler		 source
presentation source		 10
PHUSE EU 2025 Synthetic Data - the Game Changer in Drug Development Soundarya Palanisamy,
Anette Dalsgaard Jakobsen		 source
presentation source		 7
PHUSE EU 2025 The Key Features Every Statistical Computing Environment Should Have and Often Lacks. A Presentation About Almost 20 Years of Experiences with SCEs. Michael Weiss,
Elena Glathe		 source
presentation source		 5
PHUSE EU 2025 The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies Kristin Kelly source
presentation source		 8
PHUSE EU 2025 Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations Harinarayanan Gopichandran source
presentation source		 8
PHUSE EU 2025 Turning Data into Deliverables: Automating Biometrics from Metadata to TFLs Inderjeet Arora source
presentation source		 9
PHUSE EU 2025 Twice as Much Aint Twice as Good: Is Double Programming Really the Gold Standard We Think it Is? Vitali Gering source
presentation source		 6
PHUSE EU 2025 Using Visual Dashboards to Improve Data Accuracy Daniel Smith source
poster source		 8
PHUSE EU 2025 Validated Statistical Computing: A Kubernetes Framework for Regulatory-Compliant R, Python and SAS Deployments T. Randall Betancourt,
Tim Fantuzzo		 source
presentation source		 53
PHUSE EU 2025 Why I can't see myself coding that much anymore Angelo Wibbeler source
presentation source		 11
PHUSE EU 2025 Why Wait for Real Data? The Power of Synthetic Data in Modern Clinical Trials Abhijeet Arora source
presentation source		 6
PHUSE EU 2025 Your Outputs Deserve a Second Set of Eyes - Meet ELARA Mane Sargsyan source
presentation source		 7
MWSUG 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
MWSUG 2025 Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional Kirk Paul Lafler,
Charu Shankar		 source 49
MWSUG 2025 Feature Selection and Classification Using Fuzzy Logic Ross Bettinger source 39
MWSUG 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
MWSUG 2025 Make You Holla' Tikka Masala: Creating User-Defined Informats Using the PROC FORMAT OTHER Option To Call User-Defined FCMP Functions That Troy Martin Hughes source 10
MWSUG 2025 Making a Readable PROC COMPARE Report in Excel Jane Eslinger source 27
SESUG 2025 Code Hard and Put away Wet: Replacing Hardcoded SAS Software Quality Checks with Data-Driven Design and Defensive Programming Techniques That Validate Code and Control Data Troy Martin Hughes 8
SESUG 2025 Title: Optimizing Clinical Research Efficiency through SDTM Dataset Splitting Using SAS: Insights from New SDTM Programmers Tiffany Bainter,
Maddie Hays		 5
SESUG 2025 Yippee Ki-Yay! Successfully Deploying SAS Financial Management with SAS 9.4 M8 Without Losing Your Mind" Osmel Brito Bigott,
Yenireth Gil Villegas,
Carlos Arellano Brito,
Sergio Llopis		 6
WUSS 2025 Accredited, Bona fide, Certified, Diploma'ed, and Edumacated: The ABCDEs of Automating the Validation and Monitoring of Professional Requirements for Employees and Job Candidates Through Dynamic, Data-Driven SAS Reporting Troy Martin Hughes source 20
WUSS 2025 Applications of PROC COMPARE to Parallel Programming and other projects Jayanth Iyengar source 21
WUSS 2025 Evolving Human Emotions Under a Global Crisis: An Analysis of Popular Music Sentiment Hamed Hemmati,
Bennett Frohock		 source 23
WUSS 2025 From RealityTV to Real Dependency: Digital Validation Dependence Disorder (DVDD) Denzel Smalls Smalls source 15
WUSS 2025 Highlighting the Differences: PROC COMPARE in Excel Jane Eslinger source 12
WUSS 2025 Making a Readable PROC COMPARE Report in Excel Jane Eslinger source 27
WUSS 2025 Validate the Code, not just the Data : A System for SAS program validation Jayanth Iyengar source 38
PharmaSUG 2025 A codelist generator for define.xml using a SAS Studio macro and RStudio function Valerie Cadorett source 7
PharmaSUG 2025 A Little Bit of This and That: Use cases, implementation, and documentation when using multiple CDISC standards, CTs, and regulatory guidances in an SDTM study Charity Quick source 14
PharmaSUG 2025 Achieving Reliable Data Verification with R: Proven Tools, Best Practices, and Innovative Workflows Valeria Duran,
Xuehan (Emily) Zhang		 source 15
PharmaSUG 2025 AI Empowered Metadata Governance Prasoon Sangwan source 9
PharmaSUG 2025 AI is coming for you: New Biometric Leadership in the era of Gen AI Kevin Lee source 7
PharmaSUG 2025 AI-Powered Data Issue Tracker for Efficient Data Issue Tracking and Resolution Bharath Donthi source 6
PharmaSUG 2025 An End-to-End Workflow for TFL Generation using R: MMRM Applications and Comparative Insights with SAS Kai Lei,
Jiaqiang Zhu,
Margaret Huang		 source 14
PharmaSUG 2025 Automating Define-XML Updates: A SAS-Based Framework for Submission Readiness Qiong Wei,
Lixin Gao		 source 10
PharmaSUG 2025 Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables Anu Eldho source 7
PharmaSUG 2025 Build vs. Buy: Strategic Considerations for Implementing AI Solutions in Pharma and Biotech Companies Rajesh Hagalwadi source 15
PharmaSUG 2025 Checking Outside the Box: A Framework for Submission Success Julie Ann Hood,
Seiko Yamazaki		 source 13
PharmaSUG 2025 Checking SDTM Datasets from Biostatistical Perspective Inka Leprince,
Elizabeth Li		 source 14
PharmaSUG 2025 Code Smarter, Not Harder: The 5 C's of ChatGPT for the SASsy Professional Charu Shankar,
Kirk Paul Lafler		 source 49
PharmaSUG 2025 Common Issues in BIMO Clinical Site Dataset Packages Michael Beers source 9
PharmaSUG 2025 Comparing SQL and Graph Database Query Methods for Answering Clinical Trial Questions with LLM-Powered Pipelines Jaime Yan source 24
PharmaSUG 2025 Considerations of R submission in Japan Yuichi Nakajima,
Yasutaka Moriguchi		 source 5
PharmaSUG 2025 Data management and biostatistics synergy: how to achieve and what can be expected Diana Avetisian source 11
PharmaSUG 2025 Does SDTM Validation Really Require Double Programming? Sunil Kumar Gupta,
Tomás Sabat Stofsel		 source 5
PharmaSUG 2025 Elevating Clinical Research: Strategic Implementation of CDASH and SDTM Standards Hayden Patel source 4
PharmaSUG 2025 Enhancing Dictionary Management and Automation with NCI EVS: A Deeper Dive for the CDISC Community Anthony Chow source 6
PharmaSUG 2025 Ensuring Data Integrity: Techniques for Validating SDTM Datasets in Clinical Research Amy Welsh source 8
PharmaSUG 2025 Evaluation of the Process to Create CLINSITE define.xml: Macro Approach vs. ADCLIN Spec Yizhuo Zhong,
Yunyi Jiang,
Christine S Teng		 source 8
PharmaSUG 2025 Gen AI Assisted Code Conversion: From SAS to R Standard ADaM Templates Jeff Cheng,
Srinivas Malipeddi,
Gurubaran Veeravel,
Jaime Yan,
Suhas R. Sanjee		 source 11
PharmaSUG 2025 Generating Synthetic Clinical Trial Data with AI: Methods, Challenges, and Insights Max Ma,
Weijie Yang,
Emily Ma		 source 16
PharmaSUG 2025 Generative AI in Biometrics: Transforming Clinical Trials with Supercharged Efficiency an Innovation Kevin Lee source 6
PharmaSUG 2025 Handling Health Regulatory Information Requests: Best Practices and Strategies Himanshu Patel,
Chintan Pandya		 source 11
PharmaSUG 2025 Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing Bhavin Busa,
Navin Dedhia		 source 10
PharmaSUG 2025 Implementing Data Checks for Patient Registries - A Modular Approach John R. Gerlach,
Elizabeth Loisel		 source 8
PharmaSUG 2025 Integrating SAS DDE to Automate Excel Task Tracking in Pharmaceutical Statistical Programming Amy Zhang,
Huei-Ling Chen		 source 8
PharmaSUG 2025 Key guidelines, Tricks and Experiences for PMDA and comparison with FDA and CDE submission Ramesh Potluri source 6
PharmaSUG 2025 Leveraging Gen AI (ChatGPT, Gemini) API for Advanced Biometric Analysis in SAS, Python and R Kevin Lee source 10
PharmaSUG 2025 Methodology for AI-driven Outcome Prediction for Patients with Atrial Fibrillation After Transcatheter Aortic Valve Implantation (TAVI) Felix Just,
Krishna Padmanabhan,
Parth Jinger,
Amanda Borrow,
Rüdiger Smolnik,
Eva-Maria Fronk,
Neelam Yadav,
Sergei Krivtcov,
Stas Zakharkin,
Martin Unverdorben,
Asmir Vodencarevic		 source 6
PharmaSUG 2025 Navigating the transition of legacy processes for SDTM creation Jyothi Ketavarapu source 5
PharmaSUG 2025 PDFs Done Right: The Statistical Programmer-s Guide to Flawless Regulatory Submissions Srivathsa Ravikiran,
Sri Raghunadh Kakani		 source 12
PharmaSUG 2025 Running the CDISC Open Rules Engine (CORE) in BASE SAS Lex Jansen source
presentation		 40
PharmaSUG 2025 Streamlining and Accelerating Clinical Research through AI and GenAI driven Insights and safety review of Medical and Scientific Literature Rohit Kadam,
Saurabh Das,
Rajasekhar Gadde,
Niketan Panchal,
Alejandra Guerchicoff		 source 6
PharmaSUG 2025 Streamlining BIMO and Patient Profile Generation: A Python-Based Semi-Automated Approach Integrated with CSR Development Dmytro Skorba,
Mykyta Vysotskyi		 source 15
PharmaSUG 2025 Streamlining Validation Review and SAS Program Management with R Huei-Ling Chen source 11
PharmaSUG 2025 Super Learner for Predictive Modeling and Causal Analysis Honghe Zhao,
Clay Thompson,
Michael Lamm		 source 9
PharmaSUG 2025 The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies Kristin Kelly source 9
PharmaSUG 2025 The {teal} Adoption Playbook: Strategies, Tools, and Learning Paths for Open Source Vedha Viyash source 8
PharmaSUG 2025 TLFQC: A High-compatible R Shiny based Platform for Automated and Codeless TLFs Generation and Validation Chen Ling,
Yachen Wang		 source 18
PharmaSUG 2025 Towards an Integrated Submission-Ready Data Pipeline: Unifying Compliance, Automation, and Open-Source Innovation Shivani Gupta,
Bhavin Busa		 source 5
PharmaSUG 2025 Traceability and AI for Improved Understanding, Communication and QC of Clinical Trials Tomás Sabat Stofsel source 5
PharmaSUG 2025 Transitioning External Clinical Studies to Internal: A Framework for Knowledge Transfer and Operational Excellence Chunqiu Xia,
Hong (Lily) Zhang,
Xiaohui Wang		 source 6
PharmaSUG 2025 Unleashing Oncology Revenue Insights: Advanced Forecasting Frameworks in Action Naquan Ishman,
Dave Kestner		 source 10
PharmaSUG 2025 Unlocking Success: Lessons from Building R-Based Statistical Packages in Pharma Sydney Hyde,
Yirong Cao		 source 9
PharmaSUG 2025 Updating Define-XML packages: Tips and A Comprehensive Checklist Qiong Wei,
Ji Qi,
Lixin Gao		 source 10
PharmaSUG 2025 Use Gen AI to program rules in R & Python to generate and validate metadata for data standards and study specifications. Priyanka Sawant,
Kairav Tarmaster		 source 9
PharmaSUG 2025 Validate the Code, not just the Data : A System for SAS program validation Jayanth Iyengar source 38
PharmaSUG 2025 Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS. Veronica Gonzalez source 15
PHUSE US 2025 A Customized Algorithm to Evaluate the Quality and Reliability of Real-World Lab Data Lihai Song source
presentation source		 10
PHUSE US 2025 A Gen AI Agent for Statistical Output Review Peng Zhang,
Lizhong Liu		 source
presentation source		 6
PHUSE US 2025 A Guided User Experience for Automated Mapping Nathan Johnson source
presentation source		 9
PHUSE US 2025 A Journey Through an Innovative Approach to Migration of Legacy System to New Multilingual Statistical Computing Environment (SCE) Kajal Tahiliani source
presentation source		 9
PHUSE US 2025 A Novel Pipeline for Generating Realistic Synthetic CDISC ADaM Datasets Using Large Language Models and Knowledge Graphs Chao Su,
Jaime Yan		 source
presentation source		 15
PHUSE US 2025 Accelerating Patient Safety with Knowledge Graphs: Lessons from a Successful Implementation Partha Bhattacharjee,
Kirti Aggarwal		 source
presentation source		 10
PHUSE US 2025 Accelerating Shiny Application Development and Validation with Rhino André Veríssimo,
Vedha Viyash		 source
presentation source		 5
PHUSE US 2025 AI-Infused Leadership: Empowering C-Suite Decisions with Code-Driven Insights Ravindra Shukla,
Aman Bahl		 source
presentation source		 7
PHUSE US 2025 An End-to-End Approach to Fine-Tuning Small LLMs for Generating Admiral R Code in Statistical Programming Tingting Tian,
Jaime Yan		 source
presentation source		 15
PHUSE US 2025 An Intuitive Way to Derive the Last Known Alive Date in R Marckenley Mercie,
Diana Tai		 source
presentation source		 12
PHUSE US 2025 Automating Preliminary CDISC SDTM Compliance Checks with a Customised SAS Macro Wei Qian,
Danny (Shih-Che) Hsu		 source
poster source		 3
PHUSE US 2025 Can AI Help Overcome the Validation Burden for Open Source? Marc Jantke source
presentation source		 8
PHUSE US 2025 Can AI/ML Drive Data Analysis and Data Mapping in Clinical Trials? Philip Ross,
Revvity Signals		 source
presentation source		 11
PHUSE US 2025 CDISC Open Rules: A Deep Dive into Custom Rule Creation Roman Radelicki source
presentation source		 12
PHUSE US 2025 Changes to the Job of a Statistical Programmer in the Pharmaceutical Industry James J. Kim source
presentation source		 8
PHUSE US 2025 Considerations for the Submission of RWD using CDISC with Insights from HL7 FHIR and OMOP Ingeborg Holt,
Sarah Ferko,
Jeffrey M. Abolafia		 source
presentation source		 15
PHUSE US 2025 Data Quality in Pooled Studies: Overcoming Challenges and Ensuring Accuracy Monika Ludwinska source
presentation source		 11
PHUSE US 2025 Digital Health Technologies: Evolution, Insights and Future Directions [presentation] Vijay Pasapula source 28
PHUSE US 2025 Dismantling the Black Box: Why We Need to Think Bigger About AI Integration Christina Dinger,
Joe Lebers		 source
presentation source		 7
PHUSE US 2025 Double Trouble: Essential Insights from Successful Dual sBLA Submissions for a Drug-Device Combo Elma Ferdousy,
Aldrich Salva		 source
presentation source		 7
PHUSE US 2025 E2E R Submission from a Roche Oncology Study Jingyuan Chen,
Hinal Patel		 source
presentation source		 6
PHUSE US 2025 Efficient TFL Review within Statistical Programming - Using R and SAS Siddharth Kumar source
presentation source		 8
PHUSE US 2025 Effortless SDTM Upversioning: Leveraging Open-Source R for Efficient Data Standardisation Ramya Gangadi source
presentation source		 7
PHUSE US 2025 Elevate Your Game: Leveling Up SDTM Validation with the Magic of Data Managers Julie Ann Hood source
poster source		 4
PHUSE US 2025 Enhancing Clinical Trial Data Queries with LLMs and Neo4j: A Flexible Framework for ADaM Dataset Management Jaime Yan source
presentation source		 28
PHUSE US 2025 Enhancing Data Accuracy and Collaboration Through Efficient Data Reconciliation Using SAS in Clinical Trials Piyush Makkapati,
Swathi Nattam		 source
presentation source		 8
PHUSE US 2025 Ensuring Data Integrity: A Three Step Approach to Clinical Dashboard Validation River Meckstroth source
presentation source		 7
PHUSE US 2025 eProtocol and the Promise of Automation Bill Qubeck,
Suhas Giriraj		 source
presentation source		 17
PHUSE US 2025 From Application to Approval: Exploring the FDA's Review Process Kiran Bonda source
presentation source		 4
PHUSE US 2025 From Fragmentation to Fusion: A Journey through Mergers and Acquisitions Data Integration Challenges Xiao Huang source
presentation source		 3
PHUSE US 2025 From Frozen to Fluid: How the {slushy} R Package Meets the Unique Needs of Study Teams Becca Krouse source
presentation source		 3
PHUSE US 2025 From Manual to Machine: Leveraging Best-of-Breed Approaches in Clinical Data Management Joseph Lebers source
presentation source		 10
PHUSE US 2025 From Specification to CSR -- Toward a Unified Analysis and Review Platform Steve Ross source
presentation source		 7
PHUSE US 2025 Future-Proofing Clinical Data Standards: Preparing for AI and Machine Learning Shivoy Pandita source
presentation source		 8
PHUSE US 2025 Gen-AI for Statistical Reporting and Clinical Study Report (CSR) Writing Leveraging CDISC source
presentation source		 10
PHUSE US 2025 Generate Clinical Study Reports (CSRs) Using {quarto} and {shiny} Peng Zhang,
Jimmy Chen		 source
presentation source		 9
PHUSE US 2025 GPT-Powered Data Insights: Advancing Clinical Data Analytics with Large Language Models (LLMs) Melanie Hullings source
presentation source		 5
PHUSE US 2025 Health Equity Explorer: Technical Deep Dive into an R Shiny Application for Revealing Structural Inequity and Systemic Racism in Healthcare Pavel Demin,
William G. Adams		 source
presentation source		 7
PHUSE US 2025 How Unique is it for the Subject Identifier in a Study To Have Multiple Screenings and Enrolments? Anahita Vyas,
Rama Kudaravalli		 source
presentation source		 8
PHUSE US 2025 Implementation of a risk-governed, reproducible, and collaborative R workflow for Real World Evidence Projects Ting Shi source
poster source		 8
PHUSE US 2025 Innovative Data Cleaning to Prevent Unblinding Errors in Double-Blind Trials Ling Zhang,
Nan Zhou		 source
presentation source		 4
PHUSE US 2025 Innovative Storage of SDTM Mappings as JSON: Boosting Efficiency and Data Consistency Rohan Parmar,
Edgar Manukyan		 source
presentation source		 5
PHUSE US 2025 Leadership Presentations: Turning Disruption into Opportunity - Guiding Teams Through AI-Powered Transformation [presentation] Li Zheng source 20
PHUSE US 2025 Let's Talk Future: Automated Solution for Standard-Compliant Data, Mock Shells and TFL Generation Using Open-Source Platforms with AI Inderjeet Arora,
Abhijeet Arora		 source
presentation source		 8
PHUSE US 2025 LLMs in Drug Development - The Future is Closer Than We Think Chris McSpiritt source
presentation source		 9
PHUSE US 2025 Navigating the Transition to a New Statistical Computing Environment: Streamlining Compliance and Operational Excellence Shilpa Sood,
Kala Shivalingaiah		 source
poster source		 11
PHUSE US 2025 Optimising Collaboration and Quality Control in Outsourced Statistical Programming Mukesh Patel,
Nilesh Patel		 source
presentation source		 7
PHUSE US 2025 Optimising SDTM and ADaM: Remediation Techniques for Data Accuracy Kishore Pothuri source
presentation source		 10
PHUSE US 2025 Optimizing Development and Regulatory Submission of eSUB Package for Exposure-Response and PK/PD Analysis Saumilkumar Tripathi,
Ephicacy Lifescience		 source
presentation source		 10
PHUSE US 2025 PHUSE in Japan: Past, Present and Future [poster] Koichi Yamaguchi source 1
PHUSE US 2025 Posit Team: Metadata-Driven Risk Assessment and Surfacing Validated R Packages Philip Bowsher,
Michael Mayer		 source
presentation source		 5
PHUSE US 2025 R Package Risk Assessment: Balancing Programmatic and Human Input Chelsea Dickens source
presentation source		 4
PHUSE US 2025 Real-World Data - Analysis-Ready Datasets: A Standardised, Specialised and Innovative Data Solution for Efficient Real-World Data Analysis Nayan Chaudhary,
Navdeep Pal		 source
presentation source		 12
PHUSE US 2025 Revolutionising Clinical Trials: Gen AI-Powered Biometrics Breakthroughs Kevin Lee source
presentation source		 6
PHUSE US 2025 Risk Based Quality Management (RBQM) in Clinical Data Management Marcin Kot,
Anna Górecka		 source
presentation source		 9
PHUSE US 2025 Risk.assessr: A Tool for Assessing and Mitigating Risks with Open-Source R Packages in Clinical Trials Andre Couturier,
Edward Gillian		 source
presentation source		 10
PHUSE US 2025 SDTM Specification Automation Using an ML Approach to Provide Mappings Benzi Mathew,
Jaya Simha Inampudi		 source
presentation source		 5
PHUSE US 2025 SDTM UP - Versioning - Do's & Don'ts Utkarsh Pathak,
Ephicacy Lifescience		 source
presentation source		 9
PHUSE US 2025 Staying Out of the Ditch - How Governance Can Provide Your Team Guardrails Matt Tendler,
Chris McSpiritt		 source
presentation source		 5
PHUSE US 2025 Streamlining Machine Learning Modelling in Neuroscience Clinical Trials Through Cross-Functional Collaboration Jing Dai source
presentation source		 5
PHUSE US 2025 Synthetic Data Generation: A Process Paradigm Sundaresh Sankaran source
presentation source		 9
PHUSE US 2025 Synthetic Data Will Save the Day: Fact or Fiction Sherrine Eid source
presentation source		 7
PHUSE US 2025 The Best of Both Worlds: Machine Learning and Human-in-the-Loop Processing in TFl Design, Production and Validation Steve Ross,
Ilan Carmeli		 source
presentation source		 6
PHUSE US 2025 The Olympics of Data Ingestions Cathryn Herbst source
presentation source		 8
PHUSE US 2025 The R Test Kitchen: Cooking Up Quality in Clinical Analytics & Reporting Emily Yates source
presentation source		 6
PHUSE US 2025 The Right Tool for the Job: Enhancing Risk-Based Monitoring and Data Cleaning Casey Higgins source
presentation source		 4
PHUSE US 2025 The Role of Quantitative Bias Analysis (QBA) in Ensuring the Reliability of Real-World Evidence (RWE) in Regulatory Submissions Brian Gillette,
Tasha Nagamine		 source
presentation source		 6
PHUSE US 2025 The Show Must Go On: Best Practices for Submitting SDTM Data for Ongoing Studies Kristin Kelly source
presentation source		 8
PHUSE US 2025 Transforming Clinical Trials with AI-Driven Protocol Optimization and Next-Gen Statistical Programming Ravindra Shukla source
presentation source		 8
PHUSE US 2025 Transforming Pharma Master Data Management: Integrating Neo4j Knowledge Graphs with GraphRAG and Generative AI for Enhanced Data Querying and Analytics Sanjeev Kumar,
Sanjay Koshatwar		 source
presentation source		 7
PHUSE US 2025 Turbocharge Your Trials: Transform CRF Creation and the CDISC standardization process with Xbiom's Smart Metadata Repository and AI/ML Integrations Harinarayanan Gopichandran source
presentation source		 8
PHUSE US 2025 Unlocking the Secrets of Health: A Unified Approach to Biomarker and Clinical Data Integration Pavan Kumar Tatikonda source
presentation source		 8
PHUSE US 2025 Using Custom GPT to Write Edit Checks Andrew Burd source
presentation source		 3
PHUSE US 2025 Using Large Language Models for Consistency Checking of Tables, Listings and Graphs Yingying Wei source
presentation source		 7
PHUSE US 2025 Validated by Verisian: The Future of Quality Control and Validation in Clinical Trial Analyses Henning Kuich source
presentation source		 12
PHUSE US 2025 Verify: A First-in-Class Review and Validation Platform for Biometrics in Clinical Research Achinoam Ravet Perel source
presentation source		 3
PHUSE US 2025 Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence Bill Qubeck,
Sridhar Vijendra		 source
presentation source		 15
MWSUG 2024 A General Review of Fuzzy Matching Techniques and Their Capabilities Using SAS Kirk Paul Lafler source 31
MWSUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
MWSUG 2024 Create Report with SAS Visual Analytics to Finish Your SAS Story [presentation] Shinya Kodama source 25
MWSUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
MWSUG 2024 Just Stringing Along: FIND Your Way to Great User-Defined Functions Richann J. Watson,
Louise S. Hadden		 source 10
PHUSE EU 2024 A Guided User Experience for Automated Mapping Achilleas Zaras source
presentation source		 9
PHUSE EU 2024 A way out of the PROC COMPARE labyrinth Judith Kanz source
poster source		 9
PHUSE EU 2024 ADRG Builder Python Application Pierre Dostie source
presentation source		 16
PHUSE EU 2024 Analytical Risk-Based Monitoring (ARBM): From Targeted to Zero Source Data Verification (SDV) - Are Teams Ready for the Revolution? Plamena Kostadinova source
presentation source		 5
PHUSE EU 2024 Artificial Intelligence Potential Use Cases in Clinical Data Engineering Deepak Pakalapati,
Mounika Pillamarapu		 source
presentation source		 8
PHUSE EU 2024 Automating Real-World Data Analysis Using R Packages and Shiny: A Three-Stage Workflow Stavros Oikonomou,
Louise Raiteri		 source
presentation source		 8
PHUSE EU 2024 Back to the Drawing Board - Accelerating RShiny Application Development with Effective User Interface Designs Barbara Mikulasova source
poster source		 4
PHUSE EU 2024 Behind the Blind: Enhancing Clinical Data Management with Python Niels Schrauwen source
presentation source		 5
PHUSE EU 2024 Bridging Statistical Programming and Data Management: A Job Rotation Experience Frederikke Høyer source 4
PHUSE EU 2024 Building CORE Strength: An Implementation Exercise Addie Nina Olsen,
Stine Winkler Bertelsen		 source
poster source		 3
PHUSE EU 2024 Developing Validated R Packages for Standardised and Efficient Statistical Report Generation at Roche Diagnostics Dorothee Childs,
Christoph Ehret		 source
presentation source		 9
PHUSE EU 2024 Development of a Customised Statistical Computing Environment for Clinical Trial Data Analysis Christoph Frank,
Mario Lozina		 source
presentation source		 5
PHUSE EU 2024 Enhancing Quality of External Data Pascale Youinou source
presentation source		 6
PHUSE EU 2024 Failed Clinical Trials: How to Benefit From Negative Experience Anna Amosova source
presentation source		 13
PHUSE EU 2024 FAIRification of preclinical data in radiation oncology through data standardization and formalized representation Olga Giraldo,
German Cancer		 source
presentation source		 5
PHUSE EU 2024 From Source to Submission: Getting the Best of Multiple Standards Jules Van der Zalm,
Berber Snoeijer		 source
presentation source		 4
PHUSE EU 2024 Getting a Prompt Response Using ChatGPT and SAS Stephen McCawille source
presentation source		 10
PHUSE EU 2024 Guidance Beyond the SDTM Implementation Guide Kristin Kelly source
presentation source		 10
PHUSE EU 2024 Harmonising FDA and PMDA Submission Requirements Luca Semeraro source
presentation source		 12
PHUSE EU 2024 How to Handle Huge Amounts of Output Tables - A Systematic Approach Nico Schreiber source
presentation source		 7
PHUSE EU 2024 How to Optimise Your SAS Code: Tips and Tricks Vismaya Kondassam Veedu source
presentation source		 16
PHUSE EU 2024 ID-SPECTACKLE: Making ADaM specifications "Fun" Sophie Dekeyser source
presentation source		 11
PHUSE EU 2024 Interactive Session - The State of Open Source Technology in Clinical Data Analysis, Reporting, and Submissions - A PHUSE Manuscript [presentation] Katja Glass,
Michael S Rimler		 source 27
PHUSE EU 2024 Leveraging 'Ensemble' Machine Learning Models to Drive Automation of Specification Generation and Data Mapping in Clinical Trial Data Submission Venu Mallarapu source
presentation source		 10
PHUSE EU 2024 Leveraging Data Science and Analytics to Optimise Clinical Trial Execution Melanie Hullings source
presentation source		 4
PHUSE EU 2024 Making SDTM/ADaM CRT Packages Submission Ready Phillip Spowart source
presentation source		 10
PHUSE EU 2024 Medidata RAVE and Veeva CDMS Data Extraction Macros Craig Mistal,
Nicola Tambascia		 source
presentation source		 4
PHUSE EU 2024 Our Road to Adopting CORE: an Implementation Journey in SDTM Dataset Validation Marisa Wyckmans source
presentation source		 7
PHUSE EU 2024 Quality Tolerance Limits: Understanding the added value and statistical need of implementing QTLs to assure subject safety and data quality Nathalie van Borrendam source
presentation source		 3
PHUSE EU 2024 R Package Validation Maintenance - We Didn't Know What We Didn't Know Mark Sellors source
presentation source		 4
PHUSE EU 2024 Revolutionising Statistical Programming Activities - StatProg CoPilot Consortium Leveraging on Open-Source World and Generative AI Sébastien Tourlet source
presentation source		 4
PHUSE EU 2024 SLURM + Open-Source Clinical Workflows: Current State Philip Bowsher,
Michael Mayer		 source
presentation source		 4
PHUSE EU 2024 Standards Implementation with a Knowledge-Driven, AI-Powered Platform Roger Gagali Angoh source
presentation source		 3
PHUSE EU 2024 Tailoring Git for SAS Projects: Overcoming Challenges, Achieving Excellence Rajwanur Rahman,
Spencer Renyard		 source
poster source		 4
PHUSE EU 2024 The Open SCE: A Call to Action One Year Later Caroline Phares,
Pascal Bouquet		 source
presentation source		 6
PHUSE EU 2024 The R Journey to Submission Hinal Patel,
Welwyn Garden		 source
presentation source		 6
PHUSE EU 2024 The Significance of Generic Data Transfer Specification for Non-CRF Data in Clinical Trials Samaneh Sabiani,
Kristina Zweier		 source
presentation source		 9
PHUSE EU 2024 Unlocking the Enigma: Exploring SAS and R Strategies for Handling Non-Printable and Special Characters Eldho Alias,
Vishal V Nair,
Pooja Pradeep Pillai		 source
presentation source		 11
PHUSE EU 2024 Unveiling R Package Risk Assessment: A Comparative Analysis of Metadata Extraction Malte Stein,
Sebastià Barceló		 source
presentation source		 8
PHUSE EU 2024 Validation and Open-Sourcing: Can We Tame the Two Headed Beast? Ben Barnaby-Pass source
presentation source		 4
PHUSE EU 2024 Verify: Facilitating End-to-End Automation of Clinical Validation Processes Using AI Algorithms and Dynamic Collaboration Ilan Carmeli source
presentation source		 3
PHUSE EU 2024 Where Does Your SCE Fit in Your Data Strategy? Phil Loucks source
presentation source		 7
PHUSE EU 2024 Why Are Old Wines Sometimes Tastier Than New Ones? Lars Andersson,
Henning Pontoppidan Föh		 source
presentation source		 10
PHUSE EU 2024 Why Writing Tests Does Save Time in Development Magnus Mengelbier source
presentation source		 6
PHUSE EU 2024 Working with Omics data - A Statistical Programmers perspective Adrian Czaban source
presentation source		 10
SESUG 2024 Applying Different Data Cutoff Dates for the Analysis of a Study Milestone Guowei Zhao,
Hong Qi		 source 7
SESUG 2024 Building and Validating a Recommendation system using Python and SAS Patralekha Bhattacharya source 5
SESUG 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 7
SESUG 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
SESUG 2024 Hands-on Python PDFs: Using the pypdf Library To Programmatically Design, Complete, Read, and Extract Data from PDF Forms Having Digital Signatures Troy Martin Hughes source 22
SESUG 2024 Interactive Modeling with SAS Visual Statistics Danny R. Modlin source 28
SESUG 2024 Just Stringing Along: FIND Your Way to Great User-Defined Functions Richann J. Watson,
Louise S. Hadden		 source 9
SESUG 2024 Next Level Reporting: ODS and Open Source Chevell T. Parker source 24
SESUG 2024 Tales From a Tech Support Guy: The Top Ten Most Impactful Reporting and Data Analytic Features for SAS Programmers Chevell T. Parker source 24
SESUG 2024 Unlocking Insights: Harnessing Supervised Machine Learning for Advanced Data Analysis Vindhya Hegde source 23
SESUG 2024 Who's Bringing That Big Data Energy? A 47-Year Longitudinal Analysis of 30,000 Presentations in the SAS User Community To Elucidate Top Contributors and Rising Stars Troy Martin Hughes source 36
WUSS 2024 Airbnb Consumer Behavior Analysis Evelyn Larson,
Anabeli Chandra		 source 14
WUSS 2024 Charting Your Organization's Machine Learning Roadmap Ryan Paul Lafler source 6
WUSS 2024 Developing Artificial and Convolutional Neural Networks with Python's Keras API for TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
WUSS 2024 Hands-on Python PDFs: Using the pypdf Library To Programmatically Design, Complete, Read, and Extract Data from PDF Forms Having Digital Signatures Troy Martin Hughes source 22
WUSS 2024 Just Stringing Along: FIND Your Way to Great User-Defined Functions Richann J. Watson,
Louise S. Hadden		 source 10
WUSS 2024 X-Ray Image Classification with Neural Networks Riley Rutan,
Eric C Braga,
Xinyu Du		 source 10
PharmaSUG CN 2024 An R Shiny Application to Check Technical Conformance and Validation Criteria in NMPA Electronic Disc Submission Junfan Zhang,
Wang Zhang		 source 14
PharmaSUG CN 2024 Application of Natural Language Processing with R in clinical trials Feifeng Zhou,
Zhenchao Chen		 source 11
PharmaSUG CN 2024 Compare and batch validation in R for mixed QC Perphy Zhao,
Melody Yu,
Michael Wang,
Qian Su		 source 13
PharmaSUG CN 2024 Implementing Statistical Methods in Companion Diagnostic: A Case Study in NSCLC Danxia Hu,
Mandy Gao,
Jianyong Tong		 source 10
PharmaSUG CN 2024 Practice in Creating an R package for SDTM En Wang,
Longfei Li,
Xinyan Lai,
Qian Duan		 source 5
PharmaSUG CN 2024 Programming Activities of Conducting Data Masking in Open-Label Study Xinyun Gao source 6
PharmaSUG 2024 A New Approach to Automating the Creation of the Subject Visits (SV) Domain Xiangchen (Bob) Cui,
Jessie Wang,
Min Chen		 source 24
PharmaSUG 2024 A New Way to Automate Data Validation with Pinnacle 21 Enterprise CLI in LSAF Crystal Cheng source 7
PharmaSUG 2024 A Practical Approach to Automating SDTM Using a Metadata-Driven Method That Leverages CRF Specifications and SDTM Standards Xiangchen (Bob) Cui,
Min Chen,
Jessie Wang		 source 23
PharmaSUG 2024 Advancing the Maturation of Standardized CRF Design Sugumaran Muthuraj,
Rubha Raghu		 source 9
PharmaSUG 2024 AI and the Clinical Trial Validation Process - Paving a Rocky Road Steve Ross,
Ilan Carmeli		 source 7
PharmaSUG 2024 An approach to make Data Validation and Reporting tool using R Shiny for Clinica Data Validation Madhavi Gundu,
Vivek Jayesh Mandaliya		 source 10
PharmaSUG 2024 Assurance in the Digital Age: Automating MD5 Verification for uploading data into a Cloud based Clinical Repository Laura Elliott,
Ben E. Bocchicchio		 source 6
PharmaSUG 2024 Automating third party data transfer through digitized Electronic DTA Management Vandita Tripathi,
Manas Saha		 source 6
PharmaSUG 2024 Challenges and Considerations When Building e-Submission SDTM Data Packages Wei Duan source 8
PharmaSUG 2024 Cultivating Success with Non-standard Investigator-sponsored Trial Data for FDA Submissions Jai Deep Mittapalli,
Jinit Mistry,
Venkatesulu Salla		 source 9
PharmaSUG 2024 Elevate Your Game: Leveling Up SDTM Validation with the Magic of Data Managers Julie Ann Hood,
Jen Manzi		 source 5
PharmaSUG 2024 Embracing Diversity in Statistical Computing Environments: A Multi-Language Approach Amit Javkhedkar,
Sridhar Vijendra		 source 6
PharmaSUG 2024 Guidance Beyond the SDTM Implementation Guide Kristin Kelly,
Michael Beers		 source 11
PharmaSUG 2024 Handling of Humoral and Cellular Immunogenicity Data in SDTM Wei Duan source 6
PharmaSUG 2024 Just Stringing Along: FIND Your Way to Great User-Defined Functions Richann J. Watson,
Louise S. Hadden		 source 9
PharmaSUG 2024 MLNR or Machine Learning in R Chuck Kincaid source 23
PharmaSUG 2024 Navigating Success: Exploring AI-Assisted Approaches in Predicting and Evaluating Outcome of Clinical Trials and Submissions Ruohan Wang,
Chris Qin		 source 9
PharmaSUG 2024 Next Level Reporting: ODS and Open Source Chevell T. Parker source 24
PharmaSUG 2024 Oncology ADaM Datasets Creation Using R Programming: A Comprehensive Approach Ishwar Chouhan source 29
PharmaSUG 2024 Opportunities and Challenges for R as an open-sourced solution for statistical analysis and reporting, from vendor's perspective Peng Zhang,
Lizhong Liu,
Tai Xie		 source 8
PharmaSUG 2024 Piloting into the Future: Publicly available R-based Submissions to the FDA Benjamin Straub source 9
PharmaSUG 2024 Readlog Utility: Python based Log Tool and the First Step of a Comprehensive QC System Zhihao Luo source 20
PharmaSUG 2024 Relax with Pinnacle 21-s RESTful API Trevor Mankus source 8
PharmaSUG 2024 Simplifying Edit Check Configuration Vandita Tripathi,
Manas Saha		 source 7
PharmaSUG 2024 Source Data Quality Issues in PopPK/PD Dataset Programming: a Systematic Approach to Handle Duplicates Ibrahim Priyana,
Ellen Winckelmans		 source 10
PharmaSUG 2024 Standardizing Validation Data Sets (VALDS) as matrices indexed by Page, Section, Row, and Columns (PSRC) to improve Validation and output creation and revisions. Kevin R. Viel source 25
PharmaSUG 2024 Streamlining Patient-reported outcome (PRO) data standardization & analysis Varsha Mithun Patil,
Mrityunjay Kumar		 source 9
PharmaSUG 2024 The Art of Defensive SAS Programming Philip R. Holland source 28
PharmaSUG 2024 The Role of the Blinded Programmer in Preparation of Data Monitoring Committee Packages (for Clinical Trials) Binal Mehta,
Patel Mukesh		 source 6
PharmaSUG 2024 Translation from statistical to programming: effective communication between programmers and statisticians Diana Avetisian source 10
PharmaSUG 2024 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Using Python-s Keras & TensorFlow Ryan Paul Lafler,
Anna T. K. Wade		 source 18
PharmaSUG 2024 Validating R for Pharma - Streamlining the Validation of Open-Source R Packages within Highly Regulated Pharmaceutical Work Juliane Manitz,
Anuja Das,
Antal Martinecz,
Jaxon Abercrombie,
Doug Kelkhoff		 source 6
PharmaSUG 2024 Your Guide to Successfully Upversioning CDISC Standards David Neubauer,
Kapila Patel,
Toral Patel,
Soumya Rajesh		 source 19
PHUSE US 2024 A Data Manager's Experience with AI/ML Adoption and Efficiency Diane Lacroix source
presentation source		 4
PHUSE US 2024 A Practical Approach to Automating SDTM Using a Metadata-Driven Method that Leverages eCRF Specifications and SDTM Programming Standards Xiangchen (Bob) Cui,
Min Chen		 source
presentation source		 12
PHUSE US 2024 A Primer to Pharma DevOps: Empowering R Package Development with DevOps Workflows and Automation Benjamin Straub source
presentation source		 5
PHUSE US 2024 A standard data set format in regulatory submissions for clinical trials: automatic creation of headers, headers of headers, and footnotes Kevin R. Viel source
presentation source		 12
PHUSE US 2024 Accelerating Clinical Trial Submissions with Graph Theory and Log Analysis [presentation] Henning Kuich,
Tomás Sabat Stofsel		 source 42
PHUSE US 2024 Applying Machine Learning for Predicting Potential Adverse Events from Real-World Data Samiul Haque source
presentation source		 6
PHUSE US 2024 Auditing an Open-Source Software Framework in a Regulatory Environment: Challenges, Gaps and Recommendations Uday Preetham Palukuru,
Shahrzad Talebian		 source
presentation source		 5
PHUSE US 2024 Beyond Outliers: Unsupervised Anomaly Detection in Clinical Trial Data Helena Yaben,
Kian Norouzi		 source
presentation source		 9
PHUSE US 2024 Beyond the Hype: A Pragmatic Approach to Leveraging AI/ML for Data Review Robert Musterer source
presentation source		 10
PHUSE US 2024 Case study of verification and validation methods for algorithmic predictive biomarkers Kartik Shetty source
presentation source		 4
PHUSE US 2024 CDISC Conformance Rules and the CORE Engine: Continuing the Road to Adoption Peter Van Reusel source
presentation source		 7
PHUSE US 2024 Codeless Queries: Harnessing AI to Translate Clinical Trial Questions into Custom Listings Through Intuitive UI Interactions Aditya Gadiko source
presentation source		 7
PHUSE US 2024 Collaborative Development of a Clinical Trial Data Anomaly Detection Tool within an Industry Consortium Pekka Tiikkainen source
presentation source		 6
PHUSE US 2024 Comparing Analysis Method Implementations in Software (CAMIS): An Open-Source Repository to Document Differences in Statistical Methodology Software [poster] Soma Sekhar Sriadibhatla,
Vikash Jain		 source 1
PHUSE US 2024 Data Pipeline - Improving Cycle Time and Shifting Data Closer to Analytics Jayasree Ivaturi source
presentation source		 6
PHUSE US 2024 Data Quality Evaluation of EHR FHIR API Real-World Data for FDA and Pharmaceutical Industry Use for Analysis and AI Implementation Sarah Ferko,
Abhishek Pandey,
Matthew Deady,
Brian Goodness		 source
presentation source		 10
PHUSE US 2024 Demystifying Submissions to NMPA China [presentation] Hiral Raval,
Dyuthi Yellamraju		 source 19
PHUSE US 2024 Does One Size Fit All? Bidhya Basnet source
poster source		 4
PHUSE US 2024 Effective Workflow Process: Rapid SDTMs and Compliance Dashboards Sunil Kumar Gupta,
Harinarayan Gopichandra		 source
poster source		 5
PHUSE US 2024 Effortless Table Generation: A SAS Macro for Streamlining Your Workflow Zhen (Laura) Li source
presentation source		 12
PHUSE US 2024 Electronic Clinical Outcome Assessment (eCOA) in SDTM: Challenges and Solution Shivam Kumar source
presentation source		 5
PHUSE US 2024 Eliminating Duplicative Maintenance of Statistical Programs In Parallel Analyses Using a Single Control File Kavitha Boinapally source
poster source		 4
PHUSE US 2024 Eliminating SDTM Double Programming by Using a Validation Tool and Dummy Data Glenn Borgmans,
Tine Seeuws		 source
presentation source		 8
PHUSE US 2024 Enabling the Breakthroughs of Tomorrow: The Data Lakehouse for Clinical Trials Venu Mallarapu source
presentation source		 12
PHUSE US 2024 Enhancing PK Data Exploration and Visualization by using a R Shiny Application Runcheng Li,
Hanyang Sun,
Yiyuan Zeng,
Jiannan Kang		 source
presentation source		 7
PHUSE US 2024 Fight the Power - Supporting Study Teams with Niche R Packages for Delivering Statistical Packages Benjamin Arancibia,
Alice Ehmann		 source
presentation source		 4
PHUSE US 2024 From Data Iron to Data Gold Ashwini Yermal Shanbhogue source
poster source		 9
PHUSE US 2024 From stowaway to admiral, a R-iveting tale of a hierarchical composite endpoint's journey from idea to dataset Nicole Major,
Otto Magnusson		 source
presentation source		 16
PHUSE US 2024 Future Clinical Data Submission Standards: CDISC, FHIR, OMOP, or Hybrid Model Jeffrey M. Abolafia,
Sarah Ferko,
Ingeborg Holt		 source
presentation source		 10
PHUSE US 2024 Guidance Beyond the SDTM Implementation Guide Michael Beers,
Blue Bell		 source
presentation source		 10
PHUSE US 2024 How to Monitor SDTM Data Health Amanda Cross source
presentation source		 8
PHUSE US 2024 Identifying Data Quality Issues in Clinical Trials Using OpenAI Embeddings Yash Shah,
Ashwin Rai		 source
presentation source		 5
PHUSE US 2024 My Data Are Too Good to Be True! Should I Worry About Fraud or Sloppiness? Johann Proeve source
presentation source		 9
PHUSE US 2024 Optimizing Clinical Research: Using AI for Automated Validation of Output Tables against ADaM Steve Ross source
presentation source		 5
PHUSE US 2024 Organisational Considerations When Replacing or Adding a New Software Language Brian K. Varney source
presentation source		 4
PHUSE US 2024 Posit/RStudio Pharma Updates: Reproducibility and Beyond Cole Arendt,
Philip Bowsher		 source
presentation source		 14
PHUSE US 2024 Revolutionising Informed Consent Form Analysis with Generative AI: Enhancing Efficiency in Drug Development and Data Re-Use Hangyu (Cedric) Liu source
presentation source		 11
PHUSE US 2024 Risk-Based Monitoring Using AI/ML Detection of Systematic Bias in Clinical Data Kostiantyn Drach,
Sergey Glushakov		 source
presentation source		 12
PHUSE US 2024 SAS ODS Package for Efficient Creation of Zip File for P21 Validation Venkatesh Burla source
presentation source		 8
PHUSE US 2024 Speeding Up Submissions - Assessing the Business Value, Feasibility and Risk of New and Emerging Approaches [presentation] Jaya Simha Inampudi,
Nekzad Shroff		 source 9
PHUSE US 2024 Synergising Large Language Models (LLMs) and Human-in-the-Loop (HITL) for Data Noise Reduction in the RBQM Approach Mukesh Babu,
Vineet Jain		 source
presentation source		 7
PHUSE US 2024 The Role of FHIR Resources in Testing and Validating an EHR to a Sponsor Data Pipeline Patrick Genyn,
Andy Richardson		 source
presentation source		 6
PHUSE US 2024 Translating Data into Tableau Insights: Bridging the Gap Between Programmers and Medical Physicians Agnieszka Bel source
presentation source		 7
PHUSE US 2024 Using Bundles for R Package Management Magnus Mengelbier source
presentation source		 8
PHUSE US 2024 USUBJID Challenges: Representing Multiple Participations for Analysis and Reporting Emily Bernstein-Hanlon,
Sirisha Davuluri		 source
presentation source		 9
PHUSE US 2024 Validation Unveiled: Striking the Balance for Data Integrity and Compliance in R, Python, and SAS Sy J. Truong source
presentation source		 10
PHUSE US 2024 What Role Does ChatGPT Have in your Clinical Programming? Andy Ratcliffe source
presentation source		 7
PHUSE EU 2023 'Beep Beep': A Metadata Code Writer to Generate SAS Programs Giuseppe Di Monaco source
presentation source		 10
PHUSE EU 2023 3P to V - How People, Process and Product Generate Mutual Business Value: Review of an SCE Journey Javeed Paray,
Marc Jantke		 source
presentation source		 3
PHUSE EU 2023 A Robust Framework to Provide and Validate Real-Time SDTM Data Bremer Louw source
presentation source		 11
PHUSE EU 2023 Advanced Analytics for Data Quality Assessment in Countries and Regions Affected by Crisis Archana Nayak,
Mohammad Umarfaruque		 source
presentation source		 13
PHUSE EU 2023 An Automated Compliance in Project is possible! Elisa Natale,
Thierry Paquet		 source
presentation source		 9
PHUSE EU 2023 Applying Central Statistical Monitoring to Find Anomalies and Address Quality Issues in Clinical Trial Data Wiktor Majewski source
presentation source		 5
PHUSE EU 2023 Boosting SAS Programming Efficiency with ChatGPT: A Clinical Trials Perspective Illia Skliar source
presentation source		 11
PHUSE EU 2023 CDISC Conformance Rules and the CORE Engine: Continuing the Road to Adoption Nick De Donder source
presentation source		 6
PHUSE EU 2023 Creating CORE Rules from Biomedical Concepts Johannes Ulander source
presentation source		 8
PHUSE EU 2023 Developing and Implementing CDISC CORE rules: from zero to hero Marisa Wyckmans source
presentation source		 8
PHUSE EU 2023 Efficacy Endpoints in Adjuvant and Neo-Adjuvant Oncology Trials Yuliia (Piddubna) Cherednichenko,
Anna Amosova		 source
presentation source		 15
PHUSE EU 2023 End-to-End Open-source Collaboration Guidance James Black,
Michael Stackhouse		 source 23
PHUSE EU 2023 Generative AI: A Case Study Highlighting the Potential and the Risks Nikolay Manchev,
Michael Harnish		 source
presentation source		 23
PHUSE EU 2023 GPT (Generative Pretrained Transformers) and LLM (Large Language Models) have generated a lot of attention since their inception in early 2023 with the advent of OpenAI GPT3.5, then GPT4.0 Jerome Vetillard,
Mark Lambrecht		 source
presentation source		 16
PHUSE EU 2023 Handling Multiple Screenings Using the New Domain DC (Demographics for Multiple Participations) at Merck - Implementation of a New Mapping Process [presentation] Kristina Zweier source 21
PHUSE EU 2023 Heading to Base Camp On Our Way Up the Open-Source Mountain... Andy Nicholls source
presentation source		 4
PHUSE EU 2023 Look to the Sky: Introducing COMET - the COncomitant MEdication review Tool Neville Cope source
presentation source		 7
PHUSE EU 2023 MINT+ Automation and Digitization of SDTM specification Magdalena Krochmal source
presentation source		 5
PHUSE EU 2023 Mr. ight - Why R Should Be Used for Validating TLFs in Clinical Trials? Monika Ludwinska source
presentation source		 10
PHUSE EU 2023 Navigating R Package Management in a Validated Environment: Maintaining and Implementing the Latest R Packages with Different Versions of R [presentation] Ali Dootson,
Rakesh Gotiwale		 source 11
PHUSE EU 2023 Patient Profiles v2.0: Easy and Quick Clinical Trial Insights in Tableau Roman Radelicki,
Annelies Van Zeveren		 source
presentation source		 6
PHUSE EU 2023 Practical Operations of Electronic Study Data Submissions Priyanka Pujari source
presentation source		 9
PHUSE EU 2023 Quality Tolerance Limits - More Critical Aspects of Clinical Trials with Much Less Visibility Saritha Chamarthi,
Mahesh Balagonda		 source
presentation source		 2
PHUSE EU 2023 R Validation: Getting Started Christian S. Christensen source
presentation source		 7
PHUSE EU 2023 SDTM CRT Packages and the Submission Space Joshua Glaser,
Charlotte Prior-Chappell		 source
poster source		 7
PHUSE EU 2023 Statistical Programming 101 for the Fourth Industrial Revolution Ritika Aggarwal source
presentation source		 10
PHUSE EU 2023 Stay Ahead of the Curve: Learn About Leapfrogging as a Statistical Programmer Jitendra Singh,
Kavita Dargan		 source
presentation source		 4
PHUSE EU 2023 Streamlining Clinical Data Analysis and Reporting with R: Best Practices, Tips and Techniques for Efficient Workflow Management and Code Optimisation Vaibhavi Govind Bhide,
Perry Meeks		 source
presentation source		 12
PHUSE EU 2023 The Curious Case of Observational Studies - A Programmer's Dilemma Vikas Shokeen source
presentation source		 11
PHUSE EU 2023 The Digital Protocol Is Just the Beginning. Or Is It? [presentation] Thierry Philippe,
Bill Qubeck		 source 17
PHUSE EU 2023 The Evolving Role of Statistical Programmers in the Pharmaceutical Industry: The Impact of Artificial Intelligence Cindy Marabotti source
poster source		 8
PHUSE EU 2023 The Hassle of Validating Global SAS Programs: Made Easy(ier) Michael Thomsen source
presentation source		 12
PHUSE EU 2023 The Human in the Loop: Accelerating AI/ML Efficiencies for Clinical Data Achilleas Zaras source
presentation source		 4
PHUSE EU 2023 The Reality Behind Data Preparation for Statistical Programmers [poster] Megan Carnell,
Leon Lombaard		 source 1
PHUSE EU 2023 Traceability Confirmation at Your Fingertips [presentation] Shafi Chowdhury source 16
PHUSE EU 2023 Unlock Privacy-Sensitive Data with AI-Generated Synthetic Data Wim Kees Janssen source
presentation source		 6
PHUSE EU 2023 Using Machine learning for building a demonstrative model to counter the under-diagnosis of dementia Ashapriya Sebastian source
presentation source		 12
PHUSE EU 2023 Using Python to Automate the Reviewer's Guide Matt Metherell,
Simon Purkess		 source
presentation source		 14
WUSS 2023 An Overview of the SASSY System David J. Bosak source 16
WUSS 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2023 Automating Reports Using Macros and Macro Variables Ekaterina Roudneva source 18
WUSS 2023 Leveraging Logistic Regression and Bootstrap Sampling to Assess a Decision Threshold in Classification Predictive Analytics Colleen E. McGahan source 15
WUSS 2023 Make You Holla' Tikka Masala: Creating User-Defined Informats Using the PROC FORMAT OTHER Option To Call User-Defined FCMP Functions That Facilitate Data Ingestion Data Quality Troy Martin Hughes source 10
WUSS 2023 Unraveling the Layers within Neural Networks: Designing Artificial and Convolutional Neural Networks for Classification and Regression Tasks using TensorFlow in Python Ryan Paul Lafler,
Anna T. K. Wade		 source 24
WUSS 2023 Who's Bringing That Big Data Energy? A 47-Year Longitudinal Analysis of 30,000 Presentations in the SAS User Community To Elucidate Top Contributors and Rising Stars Troy Martin Hughes source 36
SESUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
SESUG 2023 Application of Fuzzy Matching Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2023 Make You Holla' Tikka Masala: Creating User-Defined Informats Using the PROC FORMAT OTHER Option To Call User-Defined FCMP Functions That Facilitate Data Ingestion Data Quality Troy Martin Hughes source 10
PharmaSUG 2023 'TUFF' LOVE: SDTM Pain Points Explained! Kristin Kelly,
Michael Beers		 source 12
PharmaSUG 2023 A Macro Utility for CDISC Datasets Cross Checking Chao Su,
Jaime Yan,
Changhong Shi		 source 9
PharmaSUG 2023 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2023 A SAS System Macro to Quickly Display Discrepant Values that are too Long for the COMPARE Procedure Output. Kevin R. Viel source 20
PharmaSUG 2023 A utility tool to assist with the setup of the startup environment for remote access William Wei,
Shunbing Zhao		 source 5
PharmaSUG 2023 Acceleration and automation of genomic data analysis to meet corporate compliance standards using advanced cloud components Gopal Joshi,
Satyoki Chatterjee,
Pankaj Choudhary,
Sanjay Koshatwar,
Shekhar Seera		 source 11
PharmaSUG 2023 Auto-validation of SAS Macros through Regression Testing Madhu Annamalai,
Umayal Annamalai		 source 5
PharmaSUG 2023 Automating Data Validations with Pinnacle 21 Command Line Interface Philipp Strigunov source 13
PharmaSUG 2023 Automating SDTM: A metadata-driven journey. Keith Hibbetts source 11
PharmaSUG 2023 Automation of Validation of QC Plan Entries and Managing SAS Programs Venkatesh Nemalipuri,
Ateet Shah		 source 8
PharmaSUG 2023 Be a Lazy Validator - Let Your Code Do the Work Cara Lacson,
Ray de la Rosa,
Carol Matthews		 source 17
PharmaSUG 2023 BIMO Package: Challenges and Perspectives while keeping up with the upgrades in the BIMO Technical Conformance Guide and the BDRG Guidelines Mathura P. Ramanathan,
Sowmya Gabbula		 source 18
PharmaSUG 2023 Building an Internal R Package for Statistical Analysis and Reporting in Clinical Trials: A SAS User-s Perspective Huei-Ling Chen,
Heng Zhou,
Nan Xiao		 source 11
PharmaSUG 2023 Can We Do It Better? Real-Time Validation Of Sdtm Mapping Is Superior To Double Programming Daniel Rolo,
Bremer Louw		 source 9
PharmaSUG 2023 CDISC Conformance and Compliance: So Many Resources, So Little Time! Jennifer K. Fulton,
Stephen Black		 source 11
PharmaSUG 2023 Complementary Overlay - A Programmatic Approach to Figure Output Validation Jesse M. Pratt,
Rayce Wiggins		 source 25
PharmaSUG 2023 Creating The cxtf Native SAS Test Framework Magnus Mengelbier source 8
PharmaSUG 2023 Deep Learning to Classify Adverse Events from Patient Narratives Tom Sabo,
Sundaresh Sankaran,
Qais Hatim		 source 11
PharmaSUG 2023 Exploring the use of AI-based image recognition and Machine Learning to Improve the Efficiency and Accuracy of TLFs Validation Process. Mor Ram-On,
Ilan Carmeli		 source 5
PharmaSUG 2023 FDA's Study Data Policy Framework and How CDISC Properties Are Evaluated for Inclusion Helena Sviglin source 20
PharmaSUG 2023 From FDA to PMDA submission: How to resolve CDISC non-compliance issues Karin Steffensen,
Carina Brixval		 source 16
PharmaSUG 2023 How Can I Put This? - Using a pre-defined spreadsheet to explain your Pinnacle 21 Enterprise Issues Mike Lozano source 12
PharmaSUG 2023 Industry metrics for standards utilization and validation rules Sergiy Sirichenko source 13
PharmaSUG 2023 Integrated Trial Design Model Datasets? Christine McNichol source 9
PharmaSUG 2023 Integrating Practices: How Statistical Programmers Differ and Align Within User Groups Valeria Duran,
Radhika Etikala,
Haimavati Rammohan		 source 15
PharmaSUG 2023 Make You Holla' Tikka Masala: Creating User-Defined Informats Using the PROC FORMAT OTHER Option To Call User-Defined FCMP Functions That Facilitate Data Ingestion Data Quality Troy Martin Hughes source 10
PharmaSUG 2023 Optimizing Efficiency and Improving Data Quality through Meaningful Custom Fix Tips and Explanations Jen Manzi,
Julie Ann Hood		 source 7
PharmaSUG 2023 R Package Qualification: Automation and Documentation in a Regulated Environment Paul Bernecki,
Nicole Jones,
Uday Preetham Palukuru,
Abhilash Chimbirithy		 source 16
PharmaSUG 2023 R Package Quality & Validation: Current Landscape Philip Bowsher source 9
PharmaSUG 2023 Real World Evidence in Distributed Data Networks: Lessons from a Post-Marketing Safety Study Matthew T. Slaughter,
Denis Nyongesa,
John Dickerson,
Jennifer Kuntz		 source 7
PharmaSUG 2023 Regulatory Data Submission and CDISC Compliance: Sponsor and Vendor Collaboration Best Practices Tabassum Ambia source 5
PharmaSUG 2023 Revolutionizing Statistical Outputs Validation: a Product Demonstration of Verify, an ML-powered Automation Solution Streamlining the Validation Process Ilan Carmeli source 11
PharmaSUG 2023 SAS System Macros to Summarize the COMPARE Procedure Results and SAS Logs for a Directory or Single File. Kevin R. Viel source 41
PharmaSUG 2023 SAS-based Method for PK Noncompartmental Analysis and Validation Hui Mao,
Lixin Gao		 source 5
PharmaSUG 2023 Strategies for Code Validation at Statistical Center for HIV/AIDS Research and Prevention (SCHARP) Marie Vendettuoli,
Xuehan (Emily) Zhang,
Rodger Zou		 source 13
PharmaSUG 2023 Study Data Technical Rejection Criteria (TRC) Considerations for Multiple Data Packages in a Single Submission Christine S Teng,
Janet Low,
Si Ru Tang		 source 10
PharmaSUG 2023 Tips and traps on how to efficiently accelerate clinical trials to successful submission, approval, and launch Michael Nessly source 5
PharmaSUG 2023 Using Bundles for R Package Management Magnus Mengelbier source 8
PharmaSUG 2023 Using R to Automate Clinical Trial Data Quality Review Melanie Hullings,
Emily Murphy,
Derek Lawrence,
Michelle Cohen,
Andrew Burd		 source 6
PharmaSUG 2023 Validating novel maraca plots - R and SAS love story Nicole Major,
Srivathsa Ravikiran,
Monika Huhn,
Samvel Gasparyan,
Martin Karpefors		 source 17
PharmaSUG 2023 Visualization for Success: Driving KPIs and Organizational Process Improvements via Portfolio-level Analytics Philip Johnston,
Julie Ann Hood		 source 5
PharmaSUG 2023 Was the load okay? Lisa Eckler,
Lisa Eckler		 source 22
PharmaSUG 2023 You can REST easy validating Synthetic Data Ben Howell,
Ben E. Bocchicchio		 source 9
PHUSE US 2023 A Standard Data Set Format for the Validation of Tables and Listings in Regulatory Submissions for Clinical Trials Kevin R. Viel source
poster source		 10
PHUSE US 2023 A TransCelerate Initiative: Paving the Way for the Adoption of Modernized Statistical Analytics [presentation] Nicholas Masel source 12
PHUSE US 2023 An introduction to NEST, an open-sourced R toolkit for TFL delivery and interactive data displays used in all new Roche trials [presentation] Vincent Shen,
James Black		 source
video		 35
PHUSE US 2023 An Open-Sourced R Package for Streamlining Generation of Standard TLFs in Both Static and Interactive Formats [presentation] Lena Wang,
Heng Wang		 source
video		 25
PHUSE US 2023 Approachable and Scalable Web Application Solutions Using Shiny for Python and R Shiny in the Pharmaceutical Industry Vikash Jain,
Denny Sebastian		 source
presentation source		 9
PHUSE US 2023 Automation of ADaM Dataset & TFL Visualization Through an R Package - GenAdam2 Mahesh Divakaran source
presentation source		 5
PHUSE US 2023 Build vs Buy for SCE: Considerations for the Future of the Statistical Computing Environment (SCE) [presentation] Nathan Johnson,
Alison Banda		 source
video		 20
PHUSE US 2023 CDISC CORE - Milestones, Status and Roadmap Peter Van Reusel source
presentation source		 9
PHUSE US 2023 Challenges of Handling Vaccines Serology Data for Analysis and Reporting [presentation] Saritha Dhanasri,
Helen Yang		 source
video		 17
PHUSE US 2023 Computerised Algorithm for Multiple Myeloma Response Assessments Mahesh Swaminathan source
presentation source		 3
PHUSE US 2023 Content Authoring Automation for Productivity Gains, Improved Quality and Lesser Submission Delays Using Advanced NLP Techniques Kumail Fazal,
Debiprasad Roy		 source
presentation source		 7
PHUSE US 2023 Custom Domains ... the Gaps in Standardized Data Michael Beers source
presentation source		 8
PHUSE US 2023 Cybernated Validation of Clinical Reports (TLs) Giri Balasubramanian,
Gopinath Viswanathan		 source 9
PHUSE US 2023 Decentralized Clinical Data Management (D-CDM): An Innovative 3-Way Approach (Risk-Data-Analytics) to Protect Data Integrity [presentation] Nithiyanandhan Ananthakrishnan,
Mukesh Babu K		 source 13
PHUSE US 2023 Digging Deep into Digital Biomarkers: Empowering Clinical Trials Vijay Pasapula,
Gianna Huang		 source
presentation source		 12
PHUSE US 2023 Fishing for Code Plagiarism in Clinical SAS Programming Menaga Guruswamy Ponnupandy source
video
presentation source		 9
PHUSE US 2023 Future Workforce: How to invest in your team through Innovative transformation Limna Salim source
presentation source		 8
PHUSE US 2023 How CI/CD Enhances the Development of R packages in the Pharmaverse Benjamin Straub,
Dinakar Kulkarni		 source
presentation source		 11
PHUSE US 2023 Innovate Clinical Trial Reporting with Open Source Soma Sekhar Sriadibhatla,
Francis Kendall		 source
presentation source		 4
PHUSE US 2023 Making Define-XML Work for You: Considerations in Supporting a Full Schema Implementation [presentation] Carlo Radovsky source 50
PHUSE US 2023 Managing Deliverables in Oncology Basket Trials Hong Qi,
Mary N. Varughese		 source
presentation source		 6
PHUSE US 2023 More than Mandates: RBM Today and Why It Matters, Beyond the Guidance [presentation] Jason Konn,
Alison Banda		 source
video		 14
PHUSE US 2023 Pimp Your (R Shiny) App! Ivo Marek source
presentation source		 6
PHUSE US 2023 Scrutinize Tables Listings Figures (TLFs) Prior to Customer Delivery Vijetha Kode source
presentation source		 6
PHUSE US 2023 Self-service Data Analytics Bharath Sunkavalli source
presentation source		 3
PHUSE US 2023 Technical Rejection Criteria for Study Data (TRC) and Beyond Lina Cong,
Jiang Xu		 source
presentation source		 4
PHUSE US 2023 The Evolving Role of Project Programmer in The Next 3-5 Years Vinay Gupta,
Manas Rout		 source 5
PHUSE US 2023 The Thick and Thin of Adopting Risk-Based Approach to Data Management [presentation] Michał Ruciński source
video		 17
PHUSE US 2023 Use of R Shiny to Simplify Tracking Data Issues Resolution Progress [presentation] Manohar Naidu Vemani,
Puli Raju Mandati		 source
video		 12
PHUSE US 2023 Using R for Automatically Managing Clinical Trial Data Issues [presentation] Jessica Riedy,
Jessica Higgins		 source
video		 9
PHUSE US 2023 Validation of Figures Using an Image Recognition Approach Mor Ram-On source
presentation source		 9
PHUSE US 2023 Validation of Statistical Outputs Using Automation [poster] Ilan Carmeli source 1
PHUSE US 2023 What is the Business Value of Your Own Automated Computing Workspace? [presentation] Roger Chivers,
Chris Decker		 source 13
PHUSE US 2023 Where the Rubber Hits the Road - Qualifying an R Environment [presentation] Ellis Hughes source
video		 19
PHUSE US 2023 Why Roche is Investing into Building Open-Source Software for Clinical Reporting [presentation] Thomas Neitmann source
video		 16
PHUSE EU 2022 'Verify Outputs' Product Demonstration: Validation of Statistical Outputs Using Automation [presentation] Noa Sharon,
Roi Kain		 source 18
PHUSE EU 2022 AI_PREMie: Saving Lives of Mothers and Babies Using AI [presentation] Patricia Maguire,
John Curran		 source 26
PHUSE EU 2022 Aligning Statistical Techniques Between R and SAS - A Practical Example Using Cluster Analysis [presentation] Stephen Prust,
Mike Cooper		 source 13
PHUSE EU 2022 Automation of Standard ADaM Variables Through an R Package - GenAdam Mahesh Divakaran source
presentation source		 8
PHUSE EU 2022 Automation of the CDISC Pilot study - a step-by-step guide Stuart Malcolm source
presentation source		 9
PHUSE EU 2022 Bioresearch Monitoring Data Reviewer's Guide (BDRG) [presentation] Jack Field,
Steve Fitzpatrick		 source
video		 20
PHUSE EU 2022 Building an Efficient R Framework from Scratch [poster] Pierre Wallet source 1
PHUSE EU 2022 Deep Learning to Classify Adverse Events from Patient Narratives [presentation] Qais Hatim,
Tom Sabo		 source
video		 12
PHUSE EU 2022 Devices and Decentralised Clinical Trials Using a Storage and Advanced Analytics Platform for the Clinical Data Environment (ALYCE) [presentation] Stephan Cichos,
Anja Thiede		 source
video		 23
PHUSE EU 2022 Enabling the End-to-end Data Pipeline with the elluminate Clinical Data Cloud [presentation] Achilleas Zaras source 12
PHUSE EU 2022 Exploratory Analysis - People-powered Pathways to Success within a Critical Risk-based Approach [presentation] Simon Jackson source
video		 21
PHUSE EU 2022 Governance and Cataloguing of Analytics Assets [presentation] Paul McCaffery,
Clement Benemara		 source 15
PHUSE EU 2022 GSK Diversity Paper: The Challenges We Faced with Real-world Data Harrison James,
Chris Leach		 source
presentation source		 43
PHUSE EU 2022 How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] Alexey Kuznetsov,
Jorine Putter		 source
video		 15
PHUSE EU 2022 Is Your Analytics Platform Ready for Handling Real-world Data for Regulatory-grade Real-world Evidence? William Kuan,
Olivier Bouchard		 source
presentation source		 7
PHUSE EU 2022 Minimising 'Data Loss' During Mapping of Raw Data to SDTM [presentation] John Monaghan source
video		 35
PHUSE EU 2022 Overcoming Challenges of Your Integrated Summary ISS/ISE Submissions Jenet Cp,
Akhil Vijayan		 source
presentation source		 7
PHUSE EU 2022 R for Submission - Experiences from the R Consortium Working Group [presentation] Ari Siggaard Knoph source
video		 16
PHUSE EU 2022 R Package Development at Novo Nordisk [presentation] Anders Bilgrau source
video		 40
PHUSE EU 2022 RBM Beyond the Mandate: The Importance and Impacts of Risk-based Monitoring Today [presentation] Gina Wood,
Alison Banda		 source 14
PHUSE EU 2022 SanityCheckR: data quality control with R Shiny Diana L. Santos Ferreira source
poster source		 5
PHUSE EU 2022 SAS Macro Library Management and %library() Macro [presentation] Magnus Mengelbier source 14
PHUSE EU 2022 SAS Unit Validation of Your Macros to Upgrade Calibre! Roshan Stanly,
Siji Paul		 source
presentation source		 11
PHUSE EU 2022 Scaling within a Fast-moving Biotech Company. Key Learnings for Leaders and Innovators in Our Life Sciences Industry Stijn Rogiers,
Jasmine Kestemont		 source
presentation source		 11
PHUSE EU 2022 Shiny-tise Your PROC COMPAREs: An Interactive Shiny Application for Data Review and Comparisons [presentation] Paul Jenkins source
video		 34
PHUSE EU 2022 Streamlining the Usage of SAS, R and Python in our Process Workflow [presentation] Sayem Rahman,
Shafi Chowdhury		 source 8
PHUSE EU 2022 Submission Readiness [presentation] Ali Dootson source 16
PHUSE EU 2022 Testing Times: Implementing CI/CD Test Automation Methodology for SAS Paul Shannon source
presentation source		 7
PHUSE EU 2022 The Friendly Mapper - To Map Better Together! [presentation] Rajesh Saha source
video		 9
PHUSE EU 2022 The Integration Dilemma Angelo Tinazzi source
video
presentation source		 15
PHUSE EU 2022 Validation Tools Assemble - Proc Compare No Longer Enough to Save the Day On Its Own! Eoin Byrne,
Peter Crumey		 source
poster source		 7
PHUSE EU 2022 Welcome to the Pharmaverse [presentation] Michael Stackhouse source
video		 12
PHUSE EU 2022 What's the Difference?! CRO vs Pharma [poster] Tom Ward,
Piotr Karasiewicz		 source 1
SESUG 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
SESUG 2022 Cutting Edge Regression Methods: Ridge, LASSO, LOESS, and GAM David J. Corliss source 12
SESUG 2022 Don't be so One-Dimensional: How to Engineer Multi-Dimensional, High Cardinality Categorical Inputs for Machine Learning Aleksandar Nikolic source 25
SESUG 2022 Offensive Programming: A Threesome of Error-Throwing Macros Quentin McMullen source 20
SESUG 2022 Organizational Considerations When Replacing or Adding a New Software Language Brian K. Varney source 3
SESUG 2022 REDCap: Your SAS Friend For Electronic Health Record Manual Abstraction Brooke Ellen Delgoffe,
Steffani Roush		 source 27
SESUG 2022 To Lend, or Not to Lend, That Is the Question! Evaluating Loan Application with Machine Learning Rafae Abdullah,
Sucharitha Vallabhaneni,
Jaideep Muley		 source 17
SAS Explore 2022 Data Catalog: Ignite Your Analytics Journey [video] Kumar Thangamuthu source
youtube
SAS Explore 2022 Unified ModelOps and Containerized Deployment for All Models [video] Glenn Clingroth,
Sophia Rowland		 source
WUSS 2022 Application of Fuzzy Matching Techniques Using SAS Software - A Panel Discussion Kirk Paul Lafler,
Stephen B. Sloan		 source 30
WUSS 2022 Automating Reports Using Macros and Macro Variables Ekaterina Roudneva source 18
WUSS 2022 Did the load work? Lisa Eckler source 18
WUSS 2022 TrackCHG: A SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Safety Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough		 source 21
PharmaSUG 2022 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 29
PharmaSUG 2022 Begin with the End in Mind: eCOA data from collection to analysis Franklin E. Menius,
Monali Khanna,
Vincent Allibone		 source 7
PharmaSUG 2022 Checking Compliance of CDISC SDTM Datasets Utilizing SAS Procedures. Ballari Sen source 17
PharmaSUG 2022 Connecting SAS and Smartsheet to Track Clinical Deliverables Gregory T. Weber,
Steven Hege,
Siddharth Kumar		 source 8
PharmaSUG 2022 Damn*t, The Define! Julie Ann Hood,
Sarah Angelo		 source 16
PharmaSUG 2022 Data Mining of Tables: The Barrier for Automation Ilan Carmeli source 6
PharmaSUG 2022 Empower Your Programmers: Get the Most from Your Programming Team Carol Matthews source 8
PharmaSUG 2022 Explanations in the Study Data Reviewer's Guide: How's It Going? Kristin Kelly source 9
PharmaSUG 2022 Exploring R as a validation tool for statistical programming in clinical trials Uday Preetham Palukuru,
Runcheng Li,
Nilesh Patel,
Changhong Shi		 source 11
PharmaSUG 2022 External R Package Qualification Process in Regulated Environment Jane X. Liao,
Fansen Kong,
Yilong Zhang		 source 10
PharmaSUG 2022 FDA Advisory Committee Meetings - A Statistical Programmer's Survival Guide Phil Hall source 8
PharmaSUG 2022 Just Say No to Data Listings! Mercidita Navarro,
Nancy Brucken,
Aiming Yang,
Greg Ball		 source 4
PharmaSUG 2022 Lessons Learned from Using P21 to Create ADaM define.xml with Examples Yizhuo Zhong,
Christine S Teng,
Majdoub Haloui		 source 8
PharmaSUG 2022 Orchestrating Clinical Sequels with a Strategic Wand - Challenges of introducing Rolling CSRs in a Master Protocol Neharika Sharma source 9
PharmaSUG 2022 Quality Gates: An Overview from Clinical SAS Programming Perspective Nagadip Rao,
Pavan Jupelli		 source 10
PharmaSUG 2022 Real Time Oncology Review Readiness from Programming Perspective Binal Mehta,
Patel Mukesh		 source 10
PharmaSUG 2022 SAS Spontaneous Combustion: Securing Software Portability through Self-Extracting Code Troy Martin Hughes source 15
PharmaSUG 2022 Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software Matthew T. Slaughter,
Isaiah Lankham		 source 22
PharmaSUG 2022 The Emerging Use of Automation to Address the Challenge of Cross-Table Consistency Checking of Output Used in the Reporting of Clinical Trial Data Ilan Carmeli,
Keren Mayorov,
Hugh Donovan		 source 6
PharmaSUG 2022 Upgrading from Define-XML 2.0 to 2.1 Trevor Mankus source 6
PharmaSUG 2022 Using Boolean Functions to Excel at Validation Tracking Noory Y. Kim source 9
PharmaSUG 2022 Validation of Statistical Outputs Using Automation Ilan Carmeli,
Yoran Bar		 source 6
PharmaSUG 2022 Vendor Audit: What it is and What to Expect from it Parag Shiralkar,
Nagadip Rao		 source 6
PharmaSUG 2022 You Don-t Know Where That-s Been! Pitfalls of Cutting-and-Pasting Directly into the Programming Work Flow Dave Hall source 5
PHUSE US 2022 'Verify Outputs' Product Demonstration: Validation of Statistical Outputs Using Automation [presentation] Ilan Carmeli,
Yoran Bar		 source
video		 17
PHUSE US 2022 A Better Way: eCOA/ePRO Annotated Screen Reports (aSR) Provide Data Clarity from Data Collection to Submission Franklin E. Menius,
Monali Khanna,
Vincent Allibone		 source
presentation source		 6
PHUSE US 2022 A Day on the Fast Track: How a Statistical Computing Environment Helps to Streamline Programming [presentation] Jörn Bilow source
video		 14
PHUSE US 2022 An open-source project to map lab terminology and standardize units for analysis Sunil Kumar Pusarla,
Kevin R. Viel,
Dante Di Tommaso		 source
video
presentation source		 7
PHUSE US 2022 Applications of the R Package Validation Framework and {valtools} [presentation] Ellis Hughes source
video		 34
PHUSE US 2022 Clinical Statistical Reporting in a Multilingual World [presentation] Michael S Rimler,
Michael Stackhouse		 source 11
PHUSE US 2022 Explanations in the Study Data Reviewer's Guide: How's It Going? [presentation] Kristin Kelly source
video		 13
PHUSE US 2022 FDA Study Data Technical Rejection Criteria (TRC): What You Need to Know! [presentation] Jiang Xu,
Lina Cong		 source
video		 26
PHUSE US 2022 Implementation of Real-world Structured/ Unstructured Clinical Data in Real-world Evidence Trials (RWEs) for Regulatory Submissions [presentation] Ravi Mokkarala,
Yan Shen		 source 12
PHUSE US 2022 Machine Learning in R to Predict Outcomes from Biomarker Data [presentation] Benno F. Kurch,
Prakash Dev		 source
video		 21
PHUSE US 2022 Necessity is the Mother of Invention! Experiences and Innovation from Studies in COVID-19 [presentation] Amanda Lopuski,
Matt Jones		 source
video		 7
PHUSE US 2022 RStudio Pharma Updates: 2021 Year in Review and Beyond [presentation] Philip Bowsher source
video		 18
PHUSE US 2022 SPACE - Launching GSK Biostatistics towards new horizons Eileen Ching source
presentation source		 10
PHUSE US 2022 Staying Ahead of the Curve: The Future Direction of Modernization of Statistical Analytics (MSA) [presentation] Peter Mesenbrink source 19
PHUSE US 2022 The Bioresearch Monitoring Data Reviewer's Guide (BDRG) [presentation] Julie Maynard,
Sopan Dharma Kaith		 source 25
PHUSE US 2022 The Complexity and Magnitude of Participant Reactogenicity Data [presentation] Gunasekaran Subramaniam,
Katrien Van der Donck		 source
video		 21
PHUSE US 2022 Using odmlib to Create ODM and Define-XML Tools in Python Samuel Hume source
presentation source		 6
PHUSE EU 2021 AI-powered Drug Development: Accelerating Trials with AI & ML [presentation] Raj Indupuri source
video		 10
PHUSE EU 2021 Augmenting Therapeutic Effectiveness through Novel Analytics (ATHENA) - A Public-Private Partnership Project Funded by the Flemish Government (VLAIO) [presentation] Ploingarm Petsophonsakul,
Wouter Botermans		 source
video		 14
PHUSE EU 2021 Balancing Automation and Flexibility in Programming Processes Helen Nicholson,
Punitha Philip		 source
video
presentation source		 5
PHUSE EU 2021 Case Study: Automating a Complex Data Migration Using SCE API [presentation] Guy R. Garrett source
video		 6
PHUSE EU 2021 DEEP Presentation and Launch? : New Era of Collaboration - DEEP Enables an Ecosystem Approach to Advance Digital Medicine [presentation] Bert Hartog,
Kai Langel		 source 30
PHUSE EU 2021 Does No Errors Equal High Quality? [presentation] Julie Solbjerg Appel,
Sanna Herrgård		 source
video		 23
PHUSE EU 2021 EMA Panel Discussion: What Might the Future Landscape of Submitting Data Look Like in 2025 ? [presentation] Eftychia-Eirini Psarelli,
Jesper Kjær		 source 14
PHUSE EU 2021 Engineering an MDR of the Future [presentation] Ali Dootson,
Mike Grove		 source
video		 19
PHUSE EU 2021 F3: Fitness, FAIR & Filing [presentation] Bhupendra Mistry,
Nigel Montgomery		 source
video		 19
PHUSE EU 2021 HoW: New Era of Collaboration - Towards the Adoption of Digital Measures - DEEP Initiative Kai Langel,
Bert Hartog		 source 13
PHUSE EU 2021 iListing - Get More Out of Listings [presentation] Katja Glass source
video		 37
PHUSE EU 2021 Learnings Using R for Creating CDISC Data for Analysis and Reporting Purposes! [presentation] Gustav Söderström,
Nicole Major		 source
video		 23
PHUSE EU 2021 Methods and Challenges of R Validation for Regulatory Submission Analysis [presentation] Parvee Kumar source
video		 14
PHUSE EU 2021 Moving Your SCE to the Cloud, Focusing on Qualification and Validation [poster] Daniel Christen,
Martin Doughty		 source
video		 1
PHUSE EU 2021 Preparing PK/PD ADaM Datasets and eCRT Data Package for FDA Submission Junying Zhang source
video
presentation source		 11
PHUSE EU 2021 R and SAS Working Together - DNR's Experience Moving to LSAF 5.3 [presentation] Paul Vervuren source
video		 17
PHUSE EU 2021 Software Demonstration: Freedom or Regulatory Compliance? Have Both, in a Language-agnostic Statistical Computing Environment - Sponsored by Entimo [presentation] Jörn Bilow source 14
PHUSE EU 2021 Standing Room Only: SA07: Programming Pooled Safety Data for Ongoing Oncology Submissions [presentation] Sarah Berenbrinck source 36
PHUSE EU 2021 The ABC of Managing a Standards Macro Library Amit Bhaniani,
Carl Herremans		 source
video
presentation source		 9
PHUSE EU 2021 The Library Approach Driving EDC Set-up Efficiencies: A Case Study [presentation] Jan De Cleir source
video		 23
PHUSE EU 2021 Transforming Reporting - A Journey into Web Technology for Listing Generation [presentation] Joseph Rowley,
Kartik Rajan		 source
video		 23
PHUSE EU 2021 Utilising LSAF for Data Management at a Belgian Biotech Louella Schoemacher source
video
presentation source		 7
PHUSE EU 2021 Visualising Knowledge Graphs: Information Solution or Ball of Confusion? [presentation] Tim P. Williams source
video		 57
PHUSE EU 2021 When PROC COMPARE is not enough - the fast check of variables discrepancy through thousands of observations Roman Chekhun source
video
presentation source		 7
SESUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
SESUG 2021 Use SAS Enterprise Miner Workstation 15.1 to Do Predictive Analysis for Mobile Strategy Games Industry Chun Du source 11
SESUG 2021 Using JMP and R Integration to Analyze Virtual Chat Messages during a Coronavirus Pandemic Melvin T. Alexander source 37
PHUSE US 2021 A Well Design QC Toolkit for Clinical Programming Compliance Checking [presentation] Huei-Ling Chen,
Sandeep Meesala		 source
video		 30
PHUSE US 2021 Automated Validation of Clinical Trial Analysis and Reporting Deliverables Using 'testthat' [presentation] Amin Shirazi,
Jane X. Liao		 source
video		 35
PHUSE US 2021 Becoming Agile in a Regulated Environment [presentation] Anton Sarov source
video		 17
PHUSE US 2021 Concept of Generating Polished SAS Code for Regulatory Submissions [poster] Norihiko Oharu,
Ravi Mokkarala		 source 1
PHUSE US 2021 Containers You Can Count On: A Framework for Qualifying Community Container Images [presentation] Eli Miller source
video		 11
PHUSE US 2021 Controlled Terminology Best Practices [presentation] Sarah Angelo source
video		 29
PHUSE US 2021 Data Science Presentations: DSc01: How Automation Using Machine Learning Technology Can Overcome the Limitations of Double Programming [presentation] Hugh Donovan,
Ilan Carmeli		 source 18
PHUSE US 2021 Data Science Presentations: DSc02: The Digital Era Outpaces Traditional QA [presentation] Karl Brand,
Miriam Ferrer-Gonzale		 source 45
PHUSE US 2021 Data Visualizations for Publication, Decision-making and Submission [presentation] Maria Dalton source
video		 18
PHUSE US 2021 FDA & PMDA Validator Rules - What, Why and How ... But Should You Care? [presentation] Charanjit Kahlon,
Kishore Pothuri		 source
video		 21
PHUSE US 2021 FDA Conformance Analysis and Upcoming Implementation of Technical Rejection Criteria for Study Data [presentation] Ethan Chen,
Heather Crandall		 source 36
PHUSE US 2021 How to Submit Study Data to Comply with Technical Rejection Criteria [poster] Lina Cong source 1
PHUSE US 2021 How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] Alexey Kuznetsov,
Jorine Putter		 source 9
PHUSE US 2021 Industry Metrics for Extensions of CDISC Terminology [presentation] Sergiy Sirichenko source
video		 36
PHUSE US 2021 Is it ART? An Application of TransCelerate's MoA Framework for Assessing Accuracy, Reproducibility and Traceability in Novel Software Implementations [presentation] Michael S Rimler,
Tim Kuhn		 source 20
PHUSE US 2021 Managing TFL Development in LSAF 5.3 Using SAS and R Code [presentation] Jean-Marc Ferran,
Stijn Rogiers		 source
video		 33
PHUSE US 2021 Open APIs and Open Source for Open Minds [presentation] Sven Prasse source
video		 19
PHUSE US 2021 Pinnacle 21: Improving the Data Fitness Score for eSubmission Renu Motwani source
video
presentation source		 9
PHUSE US 2021 Planning and Execution of Real-world Data Evidence Analysis Nicole Thorne,
Ramesh Sundaram		 source
video
presentation source		 6
PHUSE US 2021 Process Improvements for Quality and Efficiency [presentation] Ghanshyam Jangid,
Suresh Acharya		 source
video		 13
PHUSE US 2021 Processes and Techniques for Creating Integrated Summary of Safety (ISS) Ghanshyam Jangid,
Jane E. Marrer		 source
video
presentation source		 9
PHUSE US 2021 R Package Validation Framework [presentation] Ellis Hughes source
video		 35
PHUSE US 2021 R Shiny Application for the PHUSE Open Data Repository [presentation] Hanming Tu source
video		 15
PHUSE US 2021 Regulatory Update & Townhall [presentation] Ethan Chen source 28
PHUSE US 2021 SAS2P21CLI [presentation] Gustav Bernard source
video		 31
PHUSE US 2021 SDTM Mapping and Conversion Using NLP [presentation] Eric Weising source
video		 16
PHUSE US 2021 SimSCE: Building an SCE City to Support My Process [presentation] Andrew B. Ratcliffe,
Chris Decker		 source
video		 36
PHUSE US 2021 Software Demonstration: SD12: Reporting Application that Provides Instant Oversight to Management and Actively Helps Programmers to Save Time, Implement Standards and Raise Quality [presentation] Shafi Chowdhury source 11
PHUSE US 2021 Software Demonstration: SD13: RStudio Pharma Updates [presentation] Sean Lopp source 12
PHUSE US 2021 Standing Room Only Presentation: DH02: On the Other Side of the Fence: When Two Skill Areas Join Forces and Boundaries Dissolve [presentation] Mette Krogh Beyer,
Stine Ross		 source 15
PHUSE US 2021 Standing Room Only Presentation: DV10: Topline Results Dashboards with Rmarkdown & Flexdashboard [presentation] Harsha Kalikivayi,
Robert Adams		 source 26
PHUSE US 2021 Statistical Computing Environment White Paper Jorine Putter,
Mark Bynens		 source
pdf
video		 45
PHUSE US 2021 Transforming Clinical Data Chaos with elluminate [presentation] Dawn Kaminski source
video		 12
PHUSE US 2021 Transitioning to R for Clinical Submissions [presentation] Philip Bowsher,
Sean Lopp		 source 16
PHUSE US 2021 Using Central Monitoring to Mitigate Data Quality Risk during the COVID-19 Pandemic [presentation] Adrienne Strickler,
Anna Wojcik		 source
video		 21
PHUSE US 2021 VALSPEC Utility to Validate CDISC Specifications [presentation] Aman Bahl,
Hrideep Antony		 source
video		 12
PHUSE US 2021 Visual Programming for ADaM Derivation [presentation] Clara Beck,
Robert Adams		 source
video		 33
PHUSE US 2021 Why Business Users Should Care About Systems Architecture [presentation] Hans-Peter Schreiter source
video		 16
PharmaSUG 2021 -Who wrote this!?- Challenges of replacing Black Box software with more dynamic supportable processes utilizing Open-Source Languages Franklin E. Menius,
Dennis Sweitzer,
Terek Peterson,
Monali Khanna		 source 4
PharmaSUG 2021 A Diagnostic Report for SAS Submission Programs Yang Gao,
Christine S Teng		 source 6
PharmaSUG 2021 A Lead Programmer-s Guide to a Successful Submission Pranav Soanker,
Santosh Shivakavi		 source 8
PharmaSUG 2021 A Process to Validate Internal Developed R Package under Regulatory Environment Madhusudhan Ginnaram,
Amin Shirazi,
Simiao Ye,
Yalin Zhu,
Yilong Zhang		 source 7
PharmaSUG 2021 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2021 A Strategy to Develop Specification for R Functions in Regulated Clinical Trial Environments Aiming Yang,
Yalin Zhu,
Yilong Zhang		 source 11
PharmaSUG 2021 A TransCelerate Initiative - how can you modernize your statistical environment? Vincent J. Amoruccio,
Min Lee,
Daniel Woodie		 source 16
PharmaSUG 2021 Agile Project Management in Analysis and Reporting of Late Stage Clinical Trial Sarad Nepal,
Uday Preetham Palukuru,
Peikun Wu,
Madhusudhan Ginnaram,
Ruchitbhai Patel,
Abhilash Chimbirithy		 source 11
PharmaSUG 2021 An R Shiny Application: Validated Analysis Results Using R and SAS Abu Zafar Mohammad Sami source 9
PharmaSUG 2021 Analysis and Reporting in Regulated Clinical Trial Environment using R Peikun Wu,
Uday Preetham Palukuru,
Yiwen Luo,
Sarad Nepal,
Yilong Zhang		 source 11
PharmaSUG 2021 Biomedical Concepts - An Emerging CDISC Data Standard: A Stepwise Approach for Building a Library of Data Definitions Kirsten Langendorf,
Johannes Ulander		 source 15
PharmaSUG 2021 Design ADaM Specification Template that Simplifies ADaM Programming and Creation of Define XML in CDISC Era Xiang Wang,
Daniel Huang		 source 11
PharmaSUG 2021 Effective Approach for ADaM Submission to FDA and PMDA Ranvir Singh source 6
PharmaSUG 2021 FDA Study Data Technical Rejection Update [presentation] Ethan Chen source 36
PharmaSUG 2021 How to ingratiate yourself with the "old-timers" Kirsty R. Lauderdale,
Kjersten Offenbecker		 source 9
PharmaSUG 2021 Manage SAS Log in Clinical Programming Yuping Wu source 4
PharmaSUG 2021 Manage TFLs Development in LSAF 5.3 using SAS and R code Stijn Rogiers,
Jean-Marc Ferran		 source 10
PharmaSUG 2021 Managing Transitions so Your Life is Easier Kirsty R. Lauderdale source 7
PharmaSUG 2021 New Requirements of Clinical Trial Data Submission for China Filing: An Implementation Yuan Yuan Dong,
Wang Zhang,
Lily Ling		 source 5
PharmaSUG 2021 No Black Boxes: An Utterly Transparent Batch Randomization System in R Dennis Sweitzer source 12
PharmaSUG 2021 Only Get What You Need - To Simplify Analysis Data Validation Report from PROC COMPARE Output Wenjun He source 12
PharmaSUG 2021 Overcoming the Challenge of SAS Numeric Date Comparisons Shikha Sreshtha source 7
PharmaSUG 2021 R Validation: Approaches and Considerations Philip Bowsher,
Sean Lopp		 source 3
PharmaSUG 2021 Reduce Review Time: Using VB to Catch Spelling Errors & Blank Pages in TLFs Corey Evans,
Ting Su,
Qingshi Zhou		 source 4
PharmaSUG 2021 Validation of CDISC specifications using VALSPEC utility macro Hrideep Antony,
Aman Bahl		 source 8
PharmaSUG 2021 When Should I Break ADaM Rules? Sandra Minjoe source 8
SGF 2021 A Framework for Simple and Efficient Bootstrap Validation in SAS, with Examples Isaiah Lankham,
Matthew T. Slaughter		 source 22
SGF 2021 A SAS Macro to Perform Bootstrapping for Internal Validation of Time-Dependent Area Under the Curve Jialin Han,
Jiali Ling,
Maria E. Montez-Rath,
Margaret R. Stedman		 source 9
SGF 2021 Developing a SAS Deep Learning MedDRA encoder (MedDRA-DeepCoder) for Patient Narratives Qais Hatim source 11
SGF 2021 Embracing Digital Transformation Ben Zenick,
Christopher Beall		 source 9
SGF 2021 Fundamentals of Machine Learning [presentation] Labeeb Khan source 27
SGF 2021 Harnessing Raw Data From Submission Forms to Gauge Food Insecurity Among College Students Zoraya Cruz-Bonilla source
presentation		 12
SGF 2021 How Sick Is My Cohort Of Patients? A General Approach to Identify Chronic Conditions Patricia Ferido,
Laura Gascue,
Patricia St. Clair		 source 12
SGF 2021 Next-Generation Data Mining and Machine Learning: Python and SAS Together at Last George S. Habek,
Suman Kumar Das		 source
presentation		 24
SGF 2021 Open Source SAS Macros - What? Where? How? Katja Glass source
presentation		 15
SGF 2021 Pandemic Pandemonium Hannah Flynt,
Maryam Taherirani,
Sean Everett,
Trinh Phan		 source 7
SGF 2021 Stretch Your Mind And Your SAS Grid Diane Hatcher source 6
PHUSE EU 2020 A Programmer's Journey Through an Early Oncology Adaptive Platform Trial [presentation] Rafi Rahi source
video		 20
PHUSE EU 2020 Agile Software Development of R Shiny Programs with Open-source Tools [presentation] Sven Prasse source
video		 20
PHUSE EU 2020 AI-assisted Medical Coding [presentation] Christian S. Christensen,
Thomas Ellebaek		 source
video		 20
PHUSE EU 2020 AI-supported and Demand-oriented Data Integration of Clinical Studies [presentation] David Hipp,
Kai Spielmann		 source
video		 18
PHUSE EU 2020 An R Shiny Application: Platform-independent Tool to Produce a Statistical Manuscript with R and Validation with SAS [presentation] Abu Zafar Moahmmad Sami source
video		 23
PHUSE EU 2020 Analysis Used in RBM [presentation] Aminul Islam,
Shafi Chowdhury		 source
video		 8
PHUSE EU 2020 Checking the Completeness of Validated SAS Programs in LSAF [presentation] Herman Ament,
Jean-Marc Ferran		 source
video		 17
PHUSE EU 2020 Data Collection Time Point - Challenges with Analysis and Submission [presentation] Aayush Bhoraskar,
Sanket Kalyankar		 source
video		 11
PHUSE EU 2020 Data Integrity & Standards in the Clinical Data Pipeline [presentation] Mark Wheeldon,
Raj Indupuri		 source
video		 30
PHUSE EU 2020 Define-XML for ADaM: Clinical Standards Toolkit vs. Pinnacle 21? [presentation] Frederikke Høyer source
video		 16
PHUSE EU 2020 Deploying Machine Learning in Data Management [presentation] Sheila Rocchio source
video		 11
PHUSE EU 2020 Digital Biomarkers Touch Down in Statistical Programming [presentation] Alexander Salzer,
Florian Wiese		 source
video		 23
PHUSE EU 2020 Enabling Novel Digital Endpoints in Clinical Trials for Regulatory Purposes: Bringing Efficiency to the Industry by Creating a Service-based Ecosystem [presentation] Bert Hartog,
Kai Langel		 source
video		 14
PHUSE EU 2020 Getting It Right: Refinement of SEND Validation Rules [presentation] Kristin Kelly source
video		 29
PHUSE EU 2020 How to Configure Automated Data Pipelines in a GxP Clinical Environment? [presentation] Guy R. Garrett source
video		 27
PHUSE EU 2020 IDEO, an Idea for Interactive and Visual Representations of Oncology Summary Statistics Charlotte Cheinin source
video
presentation source		 5
PHUSE EU 2020 Inlier Analysis Using Mahalanobis Distance in Central Monitoring [presentation] Abhyuday Chanda source
video		 19
PHUSE EU 2020 Innovation in Exploratory/Regulatory Clinical Trial Analyses [presentation] Tadeusz Lewandowski source
video		 31
PHUSE EU 2020 Leading Innovation and Change via Olympic Goals [presentation] Robin Koeger,
Ross Farrugia		 source
video		 14
PHUSE EU 2020 Let's Include Every Data Point: Overview of Analytical Risk-based Monitoring with Spotfire Visualisations [presentation] Raju Tadala source
video		 17
PHUSE EU 2020 Managing TFL Development in LSAF 5.3 Using SAS and R Code [presentation] Jean-Marc Ferran,
Stijn Rogiers		 source
video		 23
PHUSE EU 2020 Microservices, Containerisation, Kubernetes, Web Frontends - A Solid Foundation for FAIR Data Science Platforms [presentation] Anton Sarov,
Hans-Peter Schreiter		 source
video		 13
PHUSE EU 2020 Migrating Your Clinical Development Environment to the Cloud [presentation] Antoine Maison,
Daniel Christen		 source
video		 19
PHUSE EU 2020 Please Take Care of Your Metadata Angelo Tinazzi source
video
poster source		 5
PHUSE EU 2020 RBM: Pain or Pleasure? Tips for Effective Implementation [presentation] Steven Thys source
video		 33
PHUSE EU 2020 Regain Control of Your Clinical Data with elluminate [presentation] Achilleas Zaras,
Dawn Kaminski		 source
video		 14
PHUSE EU 2020 SDTM Mapping and Conversion Using ML/NLP [presentation] Eric Weising,
Farha Feroze		 source
video		 15
PHUSE EU 2020 SDTM Trial Summary Domain Puzzle: Are These the Right Pieces? [presentation] Kristin Kelly source
video		 24
PHUSE EU 2020 Successful and Optimised Project Delivery by Embracing Agile in a Validated Environment [presentation] Andy Ratcliffe,
Chris Cowling		 source
video		 34
PHUSE EU 2020 SUPPQUAL Datasets: The Good, the Bad and the Ugly [presentation] Sergiy Sirichenko source
video		 40
PHUSE EU 2020 The Validation of Open-source Tools for Clinical Statistics and Programming [presentation] Ali Dootson,
Richard Pugh		 source
video		 21
PHUSE EU 2020 Utilising Automation for Mass Model Creation to Improve the Economics of Machine Learning Projects [presentation] Alex Tsui source
video		 18
PHUSE EU 2020 Visualisation of Risk Indicators Using the Shiny App [presentation] Kadriye Kaplan source
video		 10
SESUG 2020 Model Comparison of Machine Learning Techniques to detect signs of Penetrating Abdominal and Pelvic Injuries using Base JMP and R Integration Melvin T. Alexander source 25
SESUG 2020 Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF Christopher J. Smith source 25
SGF 2020 A Survey of Methods in Variable Selection and Penalized Regression Yingwei Wang source 17
SGF 2020 Adopting SAS Viya into Your Business: Data Success Tales from a Central Bank's Perspective Ben Zenick source 20
SGF 2020 Apply the Key Ideas from Andrew Ng's Machine Learning Certification (Coursera) in SAS Viya Petri Roine source 9
SGF 2020 Automate Patient Safety Survey PDF Report Production Lan Luong source 14
SGF 2020 Bringing Computer Vision to the Edge: An Overview of Real-Time Image Analysis with SAS Maggie Du source 15
SGF 2020 Cloud, On-Premises, and DevOps: Implementing SAS Customer Intelligence 360 in a Banking Environment Andrea Defronzo,
Roel Van Assche		 source 17
SGF 2020 Creating a SAS Technical Platform Standard for IFRS 17 Sumit Kumar source 9
SGF 2020 Data Catalog: The Binding Governance Tool for a Successful Digital Transformation Vincent Rejany source 29
SGF 2020 Developing Credit Scores with Telco Data Using Machine Learning and Agile Methodology Luciano Diettrich source 14
SGF 2020 Explanatory Machine Learning Model Plots for Epidemiological and Real-World Evidence Studies David Olaleye source 22
SGF 2020 Exploring Online Drug Reviews using Text Analytics, Sentiment Analysis, and Data Mining Models Thu Dinh,
Goutam Chakraborty		 source 23
SGF 2020 Forecasting Healthcare Statistics At the Cleveland Clinic Michael Bromley source 10
SGF 2020 From AI to XI: It all starts with 'HI' Tho H. Nguyen source 7
SGF 2020 From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant AnnMaria De Mars source 20
SGF 2020 Getting from Governance Practice to Data Awareness Chris Replogle source 10
SGF 2020 Hate Speech Classification of social media posts using Text Analysis and Machine Learning Venkateshwarlu Konduri source 7
SGF 2020 How to Build a Text Analytics Model in SAS Viya with Python Nate Gilmore source 13
SGF 2020 How to Master a Risk Data Vault Using SAS Data Integration Studio Linus Hjorth source 11
SGF 2020 Introducing the GAMSELECT Procedure for Generalized Additive Model Selection Michael Lamm,
Weijie Cai		 source 25
SGF 2020 Joinless Join: The Impossible Dream Come True Using SAS Enterprise Guide, PROC SQL, and DATA Step Ronda Phelps source 17
SGF 2020 Machine Learning Approach to Combat the Opioid Epidemic Navjot Kaur source 15
SGF 2020 Medical Image Analyses in SAS Viya with Applications in Automatic Tissue Morphometry in the Clinic Courtney Ambrozic source 13
SGF 2020 Model Governance for AI: Rethinking Our Approach to Validating and Using Black Box Models Naeem Siddiqi source 5
SGF 2020 Neural-Network Based Forecasting Strategies in SAS Viya Steven C. Mills source 14
SGF 2020 Open-Source Model Management with SAS Model Manager Glenn Clingroth source 16
SGF 2020 Optimize SAS Viya: Dividing Load through the Use of Multiple SAS Cloud Analytic Services Servers Brandon Kirk source 8
SGF 2020 Python and the SAS Quality Knowledge Base for Better Data Quality and Entity Resolution Arnold Toporowski source 12
SGF 2020 SAS Grid Manager: Inside Look into Grid-Launched Servers Murali Srinivasan source 22
SGF 2020 Semi-automatic Feature Engineering from Transactional Data James A. Cox,
Biruk Gebremariam,
Tao Wang		 source 17
SGF 2020 Simple and Efficient Bootstrap Validation of Predictive Models Using SAS/STAT Software Isaiah Lankham,
Matthew T. Slaughter		 source
github		 15
SGF 2020 Statistical Programming in the Pharmaceutical Industry: Advancing and Accelerating Drug Development Harper Forbes source 10
SGF 2020 The Secret to Successful CECL Model Implementation Monica Wang,
Jackie Yanchuck		 source 5
SGF 2020 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
SGF 2020 Unlock the Business Value of IoT with Analytics Jon Klopfer source 19
SGF 2020 Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF Christopher J. Smith,
Joshua M. Horstman		 source 25
SGF 2020 Using a Microsimulation to Evaluate Population and Policy Changes on Program Integrity Priorities Jonathan Smith,
Meghan Beckowski,
Michael Greene,
Andrew Kemple,
Bil Westerfield		 source 15
SGF 2020 Using Analytics to Predict Tax Recovery and Prioritize Audits and Investigations in Canada Jason A. Oliver source 19
SGF 2020 Using Factor Analysis and MANOVA to Explore Academic Achievement in the 2016 Monitoring the Future Survey Data Stefanie Kairs source 20
SGF 2020 Using Machine Learning and Demand Sensing to Enhance Short-Term Forecasting for CPGs Kedar Prabhudesai source 10
SGF 2020 Using Python with Model Studio for SAS Visual Data Mining and Machine Learning Jagruti Kanjia source 35
SGF 2020 Variable Selection Using Random Forests in SAS Denis Nyongesa source 11
SGF 2020 What Happens After Police Shootings? Aravind Dhanabal source 7
SGF 2020 What's New in SAS Data Management Nancy A. Rausch source 16
SGF 2020 Winning Tactics for SAS Visual Data Mining and Machine Learning: Why it's the Only Skill You Need Chris St. Jeor source 12
PharmaSUG 2020 10 things you need to know about PMDA eSubmission Yuichi Nakajima source 6
PharmaSUG 2020 A SAS macro for tracking the Status of Table, Figure and Listing (TFL) Programming Yuping Wu,
Sayeed Nadim		 source 4
PharmaSUG 2020 Analysis Package e-Submission - Planning and Execution Abhilash Chimbirithy,
Saigovind Chenna,
Majdoub Haloui		 source 8
PharmaSUG 2020 Assessing Performance of Risk-based Testing Amber Randall,
Bill Coar		 source 11
PharmaSUG 2020 Best Practices for Annotated CRFs Amy Garrett source 5
PharmaSUG 2020 Building a Strong Remote Working Culture - Statistical Programmers Viewpoint Ravi Kankipati,
Prasanna Sondur		 source 4
PharmaSUG 2020 Challenges and solutions for e-data submission to PMDA even after submission to FDA Akari Kamitani,
HyeonJeong An,
Yura Suzuki,
Malla Reddy Boda,
Yoshitake Kitanishi		 source 14
PharmaSUG 2020 Clinical Database Metadata Quality Control: Two Approaches using SAS and Python Craig Chin,
Lawrence Madziwa		 source 16
PharmaSUG 2020 Data Review: What's Not Included in Pinnacle 21? Jinit Mistry,
Lyma Faroz,
Hao Meng		 source 7
PharmaSUG 2020 Detecting Side Effects and Evaluating the Effectiveness of Drugs from Customers' Online Reviews using Text Analytics, Sentiment Analysis and Machine Learning Models Thu Dinh,
Goutam Chakraborty		 source 22
PharmaSUG 2020 Effective Exposure-Response Data Visualization and Report by Combining the Power of R , SAS programming and VBScript Shuozhi Zuo,
Hong Yan		 source 11
PharmaSUG 2020 Ensuring Consistency Across CDISC Dataset Programming Processes Jennifer K. Fulton source 10
PharmaSUG 2020 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 28
PharmaSUG 2020 Getting It Right: Refinement of SEND Validation Rules Kristin Kelly source 7
PharmaSUG 2020 Gradient Descent: Using SAS for Gradient Boosting Karen Walker source 11
PharmaSUG 2020 How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process Mirai Kikawa,
Yuichi Nakajima		 source 9
PharmaSUG 2020 Improving the Quality of Define.xml: A Comprehensive Checklist Before Submission Ji Qi,
Yan Li,
Lixin Gao		 source 8
PharmaSUG 2020 Leadership Lessons from Start-ups Siva Ramamoorthy source 7
PharmaSUG 2020 Moving A Hybrid Organization Towards CDISC Standardization Kobie O'Brian,
Sara Shoemaker,
Robert Kleemann,
Kate Ostbye		 source 8
PharmaSUG 2020 Next Level Programming-Reusability and Importance of Custom Checks Akhil Vijayan,
Limna Salim		 source 9
PharmaSUG 2020 Pinnacle 21 Community v3.0 - A Users Perspective Ajay Gupta source 10
PharmaSUG 2020 RTOR: Our Side of the Story Shefalica Chand,
Eric Song		 source 10
PharmaSUG 2020 Shell Script automation for SDTM/ADaM and TLGs Pradeep Acharya,
Aniket Patil		 source 6
PharmaSUG 2020 Standard Analyses and Code Sharing Working Group Update Nancy Brucken,
Dante Di Tommaso,
Jane E. Marrer,
Mary Nilsson,
Jared Slain,
Hanming Tu		 source 5
PharmaSUG 2020 Supplementary Steps to Create a More Precise ADaM define.xml in Pinnacle 21 Enterprise Majdoub Haloui,
Hong Qi		 source 10
PharmaSUG 2020 SUPPQUAL Datasets: Good Bad and Ugly Sergiy Sirichenko source 14
PharmaSUG 2020 You down to QC? Yeah, You know me! Vaughn Eason,
Jake Gallagher		 source 5
PHUSE US 2020 A Comparison of Machine Learning Algorithms for Binary Classification of Free-text Fields Using SAS, R, and Python Michael S Rimler source
presentation source		 12
PHUSE US 2020 An Overview of the OCS Core DataFitness Assessment Service David Jacobs,
Janie Ma		 source
poster source		 6
PHUSE US 2020 An Update on CDISC-SEND Data Submissions to FDA Jesse Anderson,
Christopher Bartlett,
Jennifer Feldmann,
Valerie Gross,
Alejandro Mankin,
Qingying Lu,
Kathryn Matto,
Lilliam Rosario		 source
presentation source		 7
PHUSE US 2020 Automation of Quality Checks for Ongoing CSR Data Lavanya Peddibhotla,
Savithri Jajam		 source
presentation source		 9
PHUSE US 2020 Automation of Submission Packages Quality Checks Sendil K. Ramabadran,
Anne-Sophie Bekx		 source
poster source		 6
PHUSE US 2020 Best Practice for Interactive Analysis for Decision-making: An update from PHUSE Data Visualization Project Xiangyun Wang,
Zachary Skrivanek		 source 11
PHUSE US 2020 Best Practices for Annotated CRFs Amy Garrett source
presentation source		 5
PHUSE US 2020 Code Generator to Check Truncated Values in Derived Datasets Proma Mukherjee source
presentation source		 5
PHUSE US 2020 Common Data Quality Issues Seen During FDA's JumpStart Service Aaron Belowich,
Andrea Arbelaez		 source
presentation source		 7
PHUSE US 2020 Confusing Data Validation Rules Explained, Part 2 Michael Beers,
Blue Bell		 source 6
PHUSE US 2020 Data Review of RECIST Criteria using ML/AI A Proof of Concept Example Priya Gopal source
presentation source		 7
PHUSE US 2020 Data Standards for eCOA in Clinical Trials Terek Peterson,
Franklin E. Menius		 source
presentation source		 6
PHUSE US 2020 Documentation, Applicability and Automation: How Best Practices Can Help You Achieve Best Results Aadesh Shah source
presentation source		 7
PHUSE US 2020 Early Detection and Prevention of Compliance Issues Vara Prasad Reddy Sakampally source 5
PHUSE US 2020 Evolution of Data: From extraction to visualization Ashish Kumar source
presentation source		 11
PHUSE US 2020 FDA and PMDA Study Data Submission Distinctions Kiran Kumar Kundarapu,
Nancy Bauer		 source
poster source		 13
PHUSE US 2020 FDA Study Data Guidance Update Ethan Chen source
presentation source		 6
PHUSE US 2020 FDA View: FDA Study Data Heather Crandall source 6
PHUSE US 2020 Getting It Right: Refinement of SEND Validation Rules Kristin Kelly,
Blue Bell		 source
presentation source		 6
PHUSE US 2020 How to Build Compliance Mindset into A Team Habit Xiaohui Wang source
presentation source		 4
PHUSE US 2020 Industry Experiences Submitting Standardized Study Data to Regulatory Authorities Janet Low,
Vincent Guo		 source
presentation source		 12
PHUSE US 2020 Is R language reliable and efficient tool for programming SAS datasets or just art for art's sake? Piotr Podlewski source
presentation source		 9
PHUSE US 2020 Leveraging Python to Generate Define-XML v2.0 Kevin Miller,
Larry Sleeper		 source 5
PHUSE US 2020 MACRO TRIO IN SAS - DATASET COMPARISON AND REPORTING Nagaraju Mancha source
presentation source		 11
PHUSE US 2020 Open Source Technologies in Clinical Research Bruce Wienckowski,
Michael S Rimler		 source
presentation source		 7
PHUSE US 2020 Population PK Dataset: Basic Concepts and Challenges from the Perspective of a SAS Programmer Namrata Pokhrel source
presentation source		 12
PHUSE US 2020 Programmatic Generation of Health Canada's Comparative Bioavailability Information Appendix B Michael S Rimler source 15
PHUSE US 2020 R Package Oriented Software Development Life Cycle in Regulated Clinical Trial Environments Rinki Jajoo,
Yalin Zhu		 source
presentation source		 12
PHUSE US 2020 Regulatory Scrutiny on Data Integrity: Are You Safe? Chris Decker,
John Horton		 source
presentation source		 11
PHUSE US 2020 Rerouting Your Risk-based Monitoring Strategy: Overcoming Implementation Roadblocks with New Technologies and Approaches Jonathan Andrus source
presentation source		 9
PHUSE US 2020 SUPPQUAL Datasets: Good Bad and Ugly Sergiy Sirichenko,
Blue Bell		 source
presentation source		 13
PHUSE US 2020 The Misery of the Miscellaneous Folder in Module 5 Marguerite Kolb source
presentation source		 8
PHUSE US 2020 What Do Sponsors and CRO Programmers Think About Each Other and Their Primary Challenges? Beena Josephine Rajeshwaran source
presentation source		 8
PHUSE EU 2019 A Data-driven and cost-effective approach towards Risk Based Monitoring Vineet Jain source
presentation source		 7
PHUSE EU 2019 A Three-pronged Approach to Central Monitoring to Identify Potential Risks and Ensure Data Quality Jill Ophoff source
presentation source		 5
PHUSE EU 2019 ADaM Submission - How to Work with the Inconsistencies Between the FDA and PMDA Requirements Marianne Carames source
presentation source		 5
PHUSE EU 2019 ADSL - Friend or Foe? Jørgen Mangor Iversen source
presentation source		 8
PHUSE EU 2019 An Automation Proof of Concept of Periodic Reporting via R Shiny Nicholas Masel source
presentation source		 7
PHUSE EU 2019 Automated Review of Metadata Standards, Data Checks and Trend Visualisation Giuseppe Di Monaco source
presentation source		 9
PHUSE EU 2019 Automating Validation of Statistical Reports - A Real Case Study Neel Patel,
Deepak Kumar		 source
presentation source		 2
PHUSE EU 2019 Building a F.A.I.R. Foundation for Pharma: The PHUSE GoingTWLD Project Tim P. Williams,
Armando Oliva		 source
presentation source		 5
PHUSE EU 2019 Data Everywhere: What Does Risk-based Monitoring Mean for Data Management? Swapna Pothula source
presentation source		 5
PHUSE EU 2019 Deriving Line of Therapy: An Algorithmic Approach in a Real-world Oncology Database Matthew Thompson source
presentation source		 12
PHUSE EU 2019 Early experiences using SDTM to organize clinical data collected using a physical activity tracker Martin Gram,
Gianluca Mortari		 source
presentation source		 13
PHUSE EU 2019 Educating for the Future: Data Engineering Techniques Guy R. Garrett source
presentation source		 10
PHUSE EU 2019 Efficient Implementation and Applications of PROC HTTP within Analysis and Reporting Simon Todd source
presentation source		 14
PHUSE EU 2019 Finding the Right Balance - Data Management Surveillance in a Fully Outsourced Partnership Model Konstanze Morgenroth source
presentation source		 11
PHUSE EU 2019 Formedix On: Advanced Metadata Management and Data Conversion [presentation] Kevin Burges source 47
PHUSE EU 2019 ICH E6 R2: How Statistics Drive Improvement in Data Quality Erik Doffagne source
presentation source		 4
PHUSE EU 2019 Implementing the CDISC Library API in Software Applications: First Experiences Jozef Aerts source
presentation source		 7
PHUSE EU 2019 Leading a migration project Pauline McBain source
presentation source		 11
PHUSE EU 2019 Mapping Raw Data to SDTM Define Using the SAS Clinical Standards Toolkit Andrew Bullivant source
presentation source		 7
PHUSE EU 2019 Our Industry: Technology-driven or Driven by Technology? Faheeza Rangunwala source
presentation source		 9
PHUSE EU 2019 PHUSE CDISC Implementation Primer Project Overview and Update Beate Hientzsch,
Nick De Donder		 source
poster source		 4
PHUSE EU 2019 Processing big data from multiple sources Berber Snoeijer source
presentation source		 5
PHUSE EU 2019 Quality Control and Validation - More Than Just PROC COMPARE Evgeny Starostin source
poster source		 7
PHUSE EU 2019 SDTM Validation Tool Anamaria Calai source
presentation source		 12
PHUSE EU 2019 Seven Habits of Highly Effective (Validation Issue) Managers Amy Garrett source
poster source		 6
PHUSE EU 2019 The Promise of Wearable Technology in Clinical Trials: A Proof of Concept to Deliver it? Jennifer Bradford source
presentation source		 11
PHUSE EU 2019 TS does not mean T(o) S(uffer) - A hands-on guideline for a better understanding of the TS domain Kristina Zweier source
presentation source		 14
PHUSE EU 2019 Using Image recognition in production support Thomas Dekelver source
presentation source		 8
PHUSE EU 2019 Validate the validated: A python script for study leads to review clinical outputs Varaprasad Ilapogu source
presentation source		 6
PHUSE EU 2019 Validating a CDISC Dataset at Development Time Using Pinnacle 21 CLI via SAS David W. Meek source
presentation source		 8
PHUSE EU 2019 Work Less - Do More: An Automated Approach to Define-XML Validation Kai Wanke source
presentation source		 8
SESUG 2019 Hybrid Rare Event Sampling Technique Ross Bettinger source 15
SESUG 2019 Improving Employee Satisfaction Through Text Analytics Luis David Martinez source 15
SESUG 2019 Making Life Easier on the SAS End: Best Practices for Collecting Survey Data Collecting Survey source 11
SESUG 2019 SAS Formats Top Ten Christianna S. Williams source 17
SESUG 2019 Using PROC FCMP to Implement Anomaly Detection Method Tsung-Hsun Tsai source 6
SESUG 2019 Validating a Probability of Default model using SASEnterprise Miner Scorecard George Rezek source 27
SESUG 2019 Validating Classification and Recidivism in Corrections Through Outcome Analytics Alan R. Mann source 34
SESUG 2019 Validating Medicare Beneficiary Identifier Submissions Richard Pickett source 7
SCSUG 2019 Building a Neural Network Scoring Model with JMP and Microsoft SQL Server to predict Aggregate Motor Vehicle Driver Alcohol Impairment David Whitchurch source 10
MWSUG 2019 Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data Troy Martin Hughes 20
MWSUG 2019 Comparison of three methods for transforming predictor variables to improve model fit using SAS Douglas Thompson 13
MWSUG 2019 Deploying SAS Viya Docker images to the cloud - a step by step guide Alan Zablocki 25
MWSUG 2019 Detecting Side Effects and Evaluating Effectiveness of Drugs from Customers' Online Reviews using Text Analytics and Data Mining Models Thu Dinh 23
MWSUG 2019 Logistic Regression, Basics and Beyond Bruce S. Lund 35
MWSUG 2019 The Doctor Ordered a Prescription ... Not a Description: Driving Dynamic Data Governance Through Prescriptive Data Dictionaries That Automate Quality Control and Exception Reporting Troy Martin Hughes 20
MWSUG 2019 US Airline Passenger Satisfaction using SAS Enterprise Miner Harish Reddy Patlolla,
Miriam McGaugh		 12
WUSS 2019 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 28
WUSS 2019 A Strategy for Dealing with Pinnacle 21 Errors and Warnings Carey G. Smoak source 2
WUSS 2019 Automating ADSL Programming Using Pinnacle 21 Specifications Tracy Sherman,
Aakar Shah		 source 12
WUSS 2019 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes source 35
WUSS 2019 Pipe it! Extract it! Build it! Smitha Krishnamurthy,
Sofia Shamas		 source 7
WUSS 2019 Principles of Automation Robert Ellsworth source 14
WUSS 2019 Root Cause Analysis Using Pinnacle 21 Validation Reports: How to Improve End-to-End Programming Process Aakar Shah,
Tracy Sherman		 source 13
WUSS 2019 Validate the validated: A python script for study leads to review clinical outputs Varaprasad Ilapogu source 6
WUSS 2019 Variable Selection Using Random Forests in SAS Denis Nyongesa source 11
PharmaSUG 2019 "What's Rules Got to Do with It?" [presentation] Helena Sviglin source 19
PharmaSUG 2019 7 Habits of Highly Effective (Validation Issue) Managers Amy Garrett source 6
PharmaSUG 2019 A Practical Guide to the Issues Summary in the Data Conformance Summary of Reviewer's Guides Gary E. Moore source 15
PharmaSUG 2019 A Standardized Data Sample: Key to Improving the Submission Strategy Prafulla Girase,
Joanna Koft		 source 5
PharmaSUG 2019 An Application of Supervised Machine Learning Models on Natural Language Processing: Classifying QC Comments into Categories Xiaoyu Tang,
Todd Case		 source 10
PharmaSUG 2019 An Innovative Efficacy Table Programming to Automate Its Figure Generation to Ensure Both High Quality and Efficiency Xiangchen (Bob) Cui,
Letan (Cleo) Lin		 source 23
PharmaSUG 2019 An Introduction to the Process of Improving a Neural Network YuTing Tian source 22
PharmaSUG 2019 Automate the Process to Ensure the Compliance with FDA Business Rules in SDTM Programming for FDA Submission Xiangchen (Bob) Cui,
Hao Guan,
Min Chen,
Letan (Cleo) Lin		 source 16
PharmaSUG 2019 Automating SAS Program Table of Contents for Your FDA Submission Package Lingjiao Qi,
Bharath Donthi		 source 14
PharmaSUG 2019 Begin with the End of Validation: Adapting QbD Approach in Statistical Programming to Achieve Quality and Compliance Excellence Linghui Zhang source 8
PharmaSUG 2019 CBER Data Standards Update and BioCompute Progress Elaine Thompson source 27
PharmaSUG 2019 Common Pinnacle 21 Report Issues: Shall we Document or Fix? Ajay Gupta source 11
PharmaSUG 2019 Dataset Specifications: Recipes for Efficiency and Quality David A. Scocca source 7
PharmaSUG 2019 Developing Analysis & Reporting Standards For Pharmaco-Epidemiology Observational Studies Bo Zheng,
Xingshu Zhu		 source 5
PharmaSUG 2019 Experiences in Building CDISC Compliant ADaM Dataset to Support Multiple Imputation Analysis for Clinical Trials Xiangchen (Bob) Cui source 20
PharmaSUG 2019 Exploring Common CDISC ADaM Conformance Findings Trevor Mankus source 6
PharmaSUG 2019 Hands-on Training for Machine Learning Programming Kevin Lee source 12
PharmaSUG 2019 Improving the Relationship between Statisticians and Programmers in Clinical Trial Studies Mai Ngo,
Mary Grovesteen,
Vaughn Eason		 source 8
PharmaSUG 2019 Large-scale TFL Automation for regulated Pharmaceutical trials using CDISC Analysis Results Metatadata (ARM) Stuart Malcolm source 16
PharmaSUG 2019 Leveraging Intermediate Data Sets to Achieve ADaM Traceability Yun (Julie) Zhuo source 12
PharmaSUG 2019 Machine Learning Approaches to Identify Rare Diseases Xuan Sun,
Ruohan Wang		 source 5
PharmaSUG 2019 Macro Templates - Industry Specific SAS Programming Standardization Tabassum Ambia source 8
PharmaSUG 2019 Pains and Gains in software development - from PoC to Market Reshma Rajput,
Charan Kumar Kuyyamudira Janardhana		 source 6
PharmaSUG 2019 Performing Analytics on Free-Text Data Fields: A Programer-s Wurst Nitemare Michael S Rimler,
Matt Pitlyk		 source 18
PharmaSUG 2019 Practices in CDISC End-to-End Streamlined Data Processing Chengxin Li source 14
PharmaSUG 2019 Process optimization for efficient and smooth e-data submissions to both FDA and PMDA Eri Sakai,
Malla Reddy Boda,
Akari Kamitani,
Yoshitake Kitanishi		 source 13
PharmaSUG 2019 Project Management Fundamentals for Programmers and Statisticians Jennifer Sniadecki source 19
PharmaSUG 2019 SHIONOGI Global SAS System Renewal Project - How to Improve Statistical Programming Platform Yura Suzuki,
Yoshimi Ishida,
Malla Reddy Boda,
Yoshitake Kitanishi		 source 10
PharmaSUG 2019 Streamlining the Metadata Management Process Using SAS Life Science Analytics Framework Alex Ford source 6
PharmaSUG 2019 The Need for Therapeutic Area User Guide Implementation Michael Beers source 8
PharmaSUG 2019 Updates on validation of ADaM data Sergiy Sirichenko source 9
PharmaSUG 2019 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes source 24
PharmaSUG 2019 Using Pinnacle 21 Enterprise for define.xml Creation: Tips and Tricks from a CRO Perspective. Franklin E. Menius source 14
PharmaSUG 2019 Vendor's Guide to Consistent, Reliable, and Timely CDISC Deliverables Dharmendra Tirumalasetti,
Santosh Reddy Lekkala,
Bhavin Busa		 source 5
SGF 2019 A Comparison of Algorithmic and Epidemiologic Approaches for Modeling Predictors of Type II Diabetes Audrey Whittle source 8
SGF 2019 An Introduction to the Process of Improving a Neural Network YuTing Tian source 22
SGF 2019 Asking the Right Questions: A study in Multiclass Imbalanced Classification for H1-B Visas Matthew Bunker,
Owen Kelly		 source 7
SGF 2019 Augmented Reality (Ar) Predictive maintenance System with Artificial Intelligence (AI) for Industrial Moblie Robot Yee Yang Tay,
Ye Sheng Koh,
Marvin Dares		 source 12
SGF 2019 Be Prepared: An Introduction to SAS Data Preparation Mary Kathryn Queen source 16
SGF 2019 Boop-Oop-A-Doop! It's Showtime with SAS on Apache Hadoop! Cecily Hoffritz source 25
SGF 2019 Commodities Risk Easy Button: Configure Advanced Risk Analytics from Scratch in 20 Minutes or Less Albert Hopping,
Eric Carriere,
Michael Busby,
Christine Jackson		 source 13
SGF 2019 Creating a Strong Business Case for SAS Event Stream Processing Henrique Consolini Danc source 16
SGF 2019 Data Governance: Harder, Better, Faster, Stronger Vincent Rejany source 18
SGF 2019 Data Preparation in the Analytical Life Cycle Ivor G. Moan source 8
SGF 2019 Data Quality Programming Techniques with SAS Cloud Analytic Services Nicolas Robert source 10
SGF 2019 Developing a Credit Risk Model Using SAS Amos Odeleye source 16
SGF 2019 Evaluating and Improving the Efficiency of Inference Rules for Segmentation in SAS Alec Zhixiao Lin source 9
SGF 2019 Exploring the Intentions of Entering Entrepreneurship for SAS Global Forum 2019 Surabhi Arya,
Prashant Gour,
Dhruv Sharma,
Jeroen Vanheeringen		 source 7
SGF 2019 Factors Affecting Mental Health in Employees and Their Relation to Suicide Rates at a Workplace Shambhavi Pandey source 11
SGF 2019 Identifying Partisanship in Media Articles Alexander Lobman,
Lohit Bhandari,
Ravi Josyula,
Nhan Nguyen		 source 7
SGF 2019 Integration of Google BigQuery with SAS Analytics Pro in Docker Container on Cloud Environment Sanket Mitra,
Srivalli Avadhanula,
Fahad Ali		 source 16
SGF 2019 Machine Learning and Predictive Analytics in SAS Enterprise Miner and SAS/STAT Software David Richard Cutler source 21
SGF 2019 Measuring Model Stability Daymond Ling source 15
SGF 2019 Modeling with Deep Recurrent Architectures: A Case Study of Using SAS and Python for Deep Learning Linh H. Le,
Ying Xie		 source 12
SGF 2019 Overcoming the Blockers: Analytics Adoption Strategies Used by Successful Organizations Patricia S. Aanderud,
Reid Baughman,
Ken Matz,
Chris St. Jeor		 source 16
SGF 2019 SAS Enterprise Miner and SAS Visual Data Mining and Machine Learning Hand Shake Jagruti Kanjia,
Dominique Latour,
Holly Sweeney		 source 35
SGF 2019 Statistical Data Checks to Identify Questionable and Suspicious Data Kaitie Lawson source 11
SGF 2019 The Aftermath What Happens after you Deploy Your Models and Decisions David R. Duling source 18
SGF 2019 The Science of Workflow Management: Modeling Business Processes in SAS Simulation Studio Dave Manet source 38
SGF 2019 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar source 18
SGF 2019 To Buy or to Create? Determining the Best Option for Student Success Models Stephanie R. Thompson source 6
SGF 2019 Using SAS to Validate Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 source 9
SGF 2019 Utilization of Python in Clinical Study by SASPy Yuichi Nakajima source 15
SGF 2019 What's the Difference? - Comparing SAS Artifacts After a Migration or Upgrade Brian K. Varney source 9
SGF 2019 Writing a Gradient Boosting Model Node for SAS Visual Forecasting Yue Li,
Jingrui Xie,
Iman Vasheghani Farahani		 source 19
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
PHUSE US 2019 Automated Compliance Checks on Programs Using SAS Hrideep Antony,
Aman Bahl		 source
presentation source		 7
PHUSE US 2019 Best Practices for Reproducible Package Management in R Sean Lopp source 4
PHUSE US 2019 Can SAS Programs Have Memory? Cen Zhou,
Rakesh Kumar		 source
presentation source		 3
PHUSE US 2019 CDISC Rules + FDA Requests + PMDA Requirements = Guaranteed Compliance? Deborah Goodfellow,
Mario Widel		 source 9
PHUSE US 2019 Considerations for Using CDISC Standards in Observational Studies Jonathan Neville source
presentation source		 5
PHUSE US 2019 Data Engineering Project (Educating for the Future PHUSE Working Group) Guy R. Garrett,
Bev Hayes		 source
presentation source		 5
PHUSE US 2019 Ensuring Consistent and Supported Standards Across Data and Metadata in a Large Regulatory Filing is Tricky Business Lisa Kaye Brooks source
presentation source		 10
PHUSE US 2019 Expectations and Collaboration - Recipe for Successful CDISC Deliverables! Santosh Reddy Lekkala,
Bhavin Busa		 source
presentation source		 4
PHUSE US 2019 FDA View: Update on Study Data Submission Ethan Chen,
Lilliam Rosario		 source
presentation source		 6
PHUSE US 2019 Formedix On: Advanced Metadata Management Now With Data! [presentation] Kevin Burges,
Steven Benham		 source 45
PHUSE US 2019 High-quality Study Data Standards for Submission Majdoub Haloui,
Ellen L. Asam		 source
presentation source		 9
PHUSE US 2019 How Do I Pick an R Package for My Clinical Workflow? Philip Bowsher source
presentation source		 18
PHUSE US 2019 How to Take the Risk Out of Risk-based Monitoring Shafi Chowdhury,
Nurahamid Siddiki		 source
presentation source		 4
PHUSE US 2019 Identifying Hurdles for Submission of Electronic Nonclinical Data (SEND) Bob Friedman,
Lou Ann Kramer		 source
presentation source		 10
PHUSE US 2019 Integrative Analysis of Circulating Tumor Cell Counts and Gene Expression Levels Yauheniya Cherkas source
presentation source		 8
PHUSE US 2019 Is There a Magic Pill for Employee Retention in Our Domain? A Statistical Viewpoint Anu Sivanesan source
presentation source		 5
PHUSE US 2019 Let's Create Standard Value-level Metadata David A. Fielding source
presentation source		 8
PHUSE US 2019 Management and Enforcement of Custom Standards and Terminologies with Pinnacle 21 Enterprise [presentation] Max Kanevsky,
Brad Moran		 source 11
PHUSE US 2019 Metadata-driven Automation in Drug Research Hanming Tu,
Zhongping Lin		 source
presentation source		 13
PHUSE US 2019 Misuse and Misapplication in Statistical Data Analysis - A Topic that Never Goes Out of Style Corinna Miede source
presentation source		 12
PHUSE US 2019 Practical Implementation of Central Statistical Surveillance in Clinical Trials Giordano Lo Regio source
presentation source		 3
PHUSE US 2019 Proof of Concept (PoC) Development of Safety Visual Analytics (SVA) Using R Shiny and SAS Rinki Jajoo source
presentation source		 9
PHUSE US 2019 Quantifying Dynamic Risk with Predictive Analytics Susan Olson,
Connor English		 source
presentation source		 7
PHUSE US 2019 R Markdown for Reproducible Research Cole Arendt source
presentation source		 15
PHUSE US 2019 Seven Habits of Highly Effective (Validation Issue) Managers Amy Garrett source
presentation source		 6
PHUSE US 2019 Simplifying the Integration Riddle Deepak Ananthan,
Karthik Raja Subbiah		 source
presentation source		 6
PHUSE US 2019 Statistical Models of Risk Flux Reveal Dynamics of RBM-managed Clinical Trials Michael Farnum source
presentation source		 12
PHUSE US 2019 Submission of Software Programs to Regulatory Agencies Maria Dalton source
presentation source		 10
PHUSE US 2019 The Clinical Data Specialist Role Within Regulatory Review Rui Li,
Joy Li		 source
presentation source		 3
PHUSE US 2019 The Importance of Work Instructions When Creating Reviewer's Guides Jennifer McGrogran source
poster source		 8
PHUSE US 2019 The Need for Therapeutic Area User Guide Implementation Michael Beers source
presentation source		 7
PHUSE US 2019 Using CDISC-SEND Standardized Data in FDA Toxicology Review: The KickStart Service Jesse Anderson,
Christopher Bartlett		 source 4
PHUSE US 2019 Using Pinnacle 21 Enterprise for define.xml Creation: Tips and Tricks from a CRO Perspective. Franklin E. Menius source
presentation source		 12
PHUSE US 2019 Using Study Metrics to Monitor Several Aspects of Clinical Studies Virtually Real Time Julio Ruiz source
presentation source		 6
PHUSE US 2019 Voice-based Clinical Monitoring Assistant Anoop Ambika source
presentation source		 7
SCSUG 2018 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson source 35
SCSUG 2018 Excel at Cutting Costs: Combining SAS and Microsoft Excel to Reduce Headcount Keith Fredlund source 9
SCSUG 2018 Machine Learning in Litigation Prediction - Workers' Compensation Litigation Propensity Predictive Model Mei Najim source 17
SCSUG 2018 NBA Draft Analytics: Boom or Bust? Isaiah Hartman source 17
SCSUG 2018 Predicting the Federal Reserve?s Next Federal Funds Rate Decisions Nhan Nguyen source 13
SCSUG 2018 Text Analysis of Users? Review for Airbnb Prashant Gour source 7
PHUSE EU 2018 Access Rights Management and Version Control in an Independent Programming Environment Christian Sachara,
Anke Grohl		 source
presentation source		 6
PHUSE EU 2018 AI-powered Xbiom 3.1 Smart Curation & Transformation of Data [presentation] Kurien Abraham,
Nicolas Philippe		 source 12
PHUSE EU 2018 Best Practice for Explaining Validation Results in the Study Data Reviewer's Guide Kristin Kelly,
Michael Beers		 source
presentation source		 8
PHUSE EU 2018 Central Statistical Surveillance in Clinical Trials Kris Lauwers,
Giordano Lo Regio		 source
presentation source		 2
PHUSE EU 2018 Challenges of Submitting Electronic Study Data to Two Authorities: The PMDA & FDA Torsten Petsching source
presentation source		 6
PHUSE EU 2018 Conformance Rules - How to Follow and Comply When Specified by Multiple Sources? Francis Dsa source
presentation source		 4
PHUSE EU 2018 Data Engineering Project (Educating for the Future PHUSE Working Group) Guy R. Garrett,
Bev Hayes		 source
presentation source		 14
PHUSE EU 2018 Data Transparency - Breaking Down Data Silos for Improved Insight Peter Tormay,
Anna Berg		 source
presentation source		 8
PHUSE EU 2018 Developing an End-to-End Standard and Automated Risk-based Monitoring Process Giuseppe Di Monaco,
Tim P. Williams		 source
presentation source		 11
PHUSE EU 2018 Diagnostics of technical errors in define.xml file Sergiy Sirichenko,
Max Kanevsky		 source
presentation source		 9
PHUSE EU 2018 From Machine-readable CDISC Standard Specifications to the e-Protocol Jozef Aerts source
presentation source		 8
PHUSE EU 2018 Getting Organised for SAS Macro Development: Hints, Tips and Tools for a Structured Approach Iain Humphreys source
presentation source		 8
PHUSE EU 2018 Handling CRF Design Changes in a Live Environment Andre Snelting,
Nieke De Ruiter		 source
presentation source		 10
PHUSE EU 2018 How to automate validation with Pinnacle 21 command line interface and SAS Amy Garrett,
Blue Bell		 source
poster source		 7
PHUSE EU 2018 Implementation of a Metadata-based Approach to Statistical Planning, Analysis and Reporting Frank Freischlager,
Hanspeter Schnitzer		 source
presentation source		 7
PHUSE EU 2018 Increase Defensiveness of Your Code: Regular Expressions Valeriia Oreshko,
Daryna Khololovych		 source
presentation source		 8
PHUSE EU 2018 Lessons Learned for Successful e-Study Data Submission to the PMDA towards the End of the Transitional Period Takashi Kitahara,
Ayako Noda		 source
presentation source		 12
PHUSE EU 2018 Optimizing the Traceability Method in ADaM Parallel Conversions Roxane Debrus source
presentation source		 15
PHUSE EU 2018 Programming Development and Validation Tracking Application "iTrack" Adrien Michon,
Jennie McGuirk		 source
presentation source		 11
PHUSE EU 2018 Standardised Data Sample: Key to Improving the Submission Strategy Prafulla Girase,
Joanna Koft		 source
presentation source		 4
PHUSE EU 2018 Streaming Tables and Listings by PROC STREAM Charumathy Sreeraman,
Samundeeswari Raja		 source
presentation source		 10
PHUSE EU 2018 Template-based File Generation Christoph Baumer source
poster source		 2
PHUSE EU 2018 The "CDISC Stupidario" (the CDISC Nonsense) Angelo Pinazzi source
poster source		 11
PHUSE EU 2018 The Importance of Being Ernest - Risk-based Approach (RBA) William Andrew Lawton source
presentation source		 4
PHUSE EU 2018 The interpretation and development of SDTM standards for non-submission purposes Paul Vervuren source
presentation source		 11
PHUSE EU 2018 Unique Technology for the Future Catharina Dahlbo,
Amanuel Workneh		 source
poster source		 6
PHUSE EU 2018 Updates on validation of ADaM data Max Kanevsky,
Sergiy Sirichenko		 source
presentation source		 7
PHUSE EU 2018 Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API Samuel Hume,
Geoff Low		 source
presentation source		 12
PHUSE EU 2018 Want to Get Started with Deep Learning? Prototyping a Deep Learning Image Classifier Thomas Ellebaek source
presentation source		 9
PHUSE EU 2018 Your Date or Mine? Melanie O'Neill source
presentation source		 7
SESUG 2018 A User Defined SDTM Data Quality Checking and Tracking System Zemin Zeng,
Yunzhi Ling		 source 6
SESUG 2018 Abstracting and Automating Hierarchical Data Models: Leveraging the SAS FORMAT Procedure CNTLIN Option To Build Dynamic Formats That Clean, Convert, and Categorize Data Troy Martin Hughes source 20
SESUG 2018 Accredited, Bona fide, Certified, Diploma'ed, and Edumacated: The ABCDEs of Automating the Validation and Monitoring of Professional Requirements for Employees and Job Candidates Through Dynamic, Data-Driven SAS Reporting Troy Martin Hughes source 20
SESUG 2018 ANALYSIS OF FACTORS INFLUENCING DROPOUTS IN SOPHOMORE ENROLLMENT Apoorva Chandrasekaran source 14
SESUG 2018 Data Integration Best Practices Harry Droogendyk source 17
SESUG 2018 Developing In-House Student Success Models Stephanie R. Thompson source 6
SESUG 2018 Dynamic Program Tracker Tanmay Khole,
Saigovind Chenna		 source 5
SESUG 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan source 29
SESUG 2018 Obtain better data accuracy using reference tables Kiran Venna,
Suryakiran Pothuraju		 source 10
SESUG 2018 Predicting the Risk of Attrition for Undergraduate Students using SAS Enterprise Miner Sivateja Reddy Kandula source 12
SESUG 2018 The Doctor Ordered a Prescription ... Not a Description: Driving Dynamic Data Governance Through Prescriptive Data Dictionaries That Automate Quality Control and Exception Reporting Troy Martin Hughes source 20
SESUG 2018 Using PROC FORMAT to Automate Data correction process Dalvi Shreyas source 6
SESUG 2018 What's the Difference? - Comparing SAS Artifacts After a Migration or Upgrade Brian K. Varney,
Experis Business		 source 9
MWSUG 2018 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 28
MWSUG 2018 An Introduction to the Process of Improving a Neural Network YuTing Tian 22
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
MWSUG 2018 Customized Project Tracking with SAS and Jira Nancy Brucken 8
MWSUG 2018 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes 35
MWSUG 2018 The Baker Street Irregulars Investigate: Discoveries Using Perl Regular Expressions and SAS Peter W. Eberhardt 33
MWSUG 2018 The Joinless Join ~ The Impossible Dream Come True Using SAS Enterprise Guide and Base SAS PROC SQL and DATA Step; Expand the Power of SAS Enterprise Guide and Base SAS in New Ways Kent Phelps,
Ronda Phelps		 18
MWSUG 2018 Tips, Traps, and Techniques in BASE SAS for vertically combining SAS data sets Jayanth Iyengar 18
MWSUG 2018 Using SAS to Validate Clinical Prediction Models Xiaoting Wu,
Chang He,
Donald S. Likosky		 8
WUSS 2018 Analyzing international assessments: An ensemble and model comparison approach Chong Ho Yu,
Hyun Seo Lee,
Siyan Gan,
Emily Lara		 source 13
WUSS 2018 How FDA will reject non-CDISC submission Kevin Lee source 6
WUSS 2018 OUT= is in: Visualizing PROC COMPARE Results in a Dataset Varaprasad Ilapogu,
Masaki Mihaila		 source 7
WUSS 2018 The Doctor Ordered a Prescription ... Not a Description: Driving Dynamic Data Governance Through Prescriptive Data Dictionaries That Automate Quality Control and Exception Reporting Troy Martin Hughes source 20
WUSS 2018 This Too Shall Pass: Passing Simple and Complex Parameters In and Out of Macros Ted D. Williams source 10
WUSS 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
PHUSE US 2018 "What's Rules Got to Do with It?" Helena Sviglin source
presentation source		 2
PHUSE US 2018 A Statistics-based Tool to Inform Risk-based Monitoring Approaches Laura Williams,
Giulia Zardi		 source
presentation source		 8
PHUSE US 2018 Assuring Data Integrity and Data Quality in Sponsor Submissions Paul Schuette source
presentation source		 5
PHUSE US 2018 Best Practices for Explaining Validation Results in the Study Data Reviewer's Guide Kristin Kelly source
presentation source		 6
PHUSE US 2018 Business-based Value in an MDR Manori Turmel,
Brooke Hinkson		 source
presentation source		 11
PHUSE US 2018 Confusing Data Validation Rules Explained Michael Beers source
presentation source		 5
PHUSE US 2018 Cue the Word - QC - All You Need to Know! Subha Jamburajan,
Nancy Haeusser		 source
presentation source		 6
PHUSE US 2018 Drug-Induced Liver Injury (DILI) Classification Using FDA-Approved Drug Labeling and FAERS Data - FDA Qais Hatim source
presentation source		 31
PHUSE US 2018 FDA CBER Data Standards Activity Update Lisa Lin source
presentation source		 4
PHUSE US 2018 FDA View: Technical Rejection Criteria for Study Data Ethan Chen,
Lilliam Rosario		 source
presentation source		 4
PHUSE US 2018 How to automate validation with Pinnacle 21 command line interface and SAS Aleksey Vinokurov source
presentation source		 8
PHUSE US 2018 How to Prepare High Quality Metadata for Submission [presentation] Varun Debbeti source 31
PHUSE US 2018 Incorporating Pinnacle 21 with LSAF Sonali Garg,
Aleksey Vinokurov		 source
presentation source		 6
PHUSE US 2018 Infrastructure Designed to Maximize Workflow Paul D. Hamilton source
presentation source		 9
PHUSE US 2018 Keeping Control in a Changing World Johannes Ulander source
presentation source		 6
PHUSE US 2018 Managing Programs Development Life-Cycles in SAS LSAF Jean-Marc Ferran source
presentation source		 8
PHUSE US 2018 Methods for Handling Concentration Values Below the Limit of Quantification in PK Studies James R. Johnson source
presentation source		 9
PHUSE US 2018 Mine the Gap: How the Role of Data Scientist Fills a Need in the Pharmaceutical Industry Michael S Rimler,
Jorine Putter		 source
presentation source		 8
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
PHUSE US 2018 Push a Button in Excel to Run all Your SAS Programs Taylor Markway source
presentation source		 11
PHUSE US 2018 Ready Set Go: Planning and Preparing a CDISC Submission Maria Dalton source
presentation source		 11
PHUSE US 2018 SDTM and SEND: An Integrated View and Approach Veena Nataraj,
Cheryl Riel		 source
presentation source		 11
PHUSE US 2018 Secure Data Office: An Independent Team that Can Come to the Rescue in Blinded Trials Annelies Van Zeveren,
Yana Hoorne		 source
presentation source		 9
PHUSE US 2018 Step Up Your ADaM Compliance Game Ramesh Ayyappath source
presentation source		 5
PHUSE US 2018 The Changing Landscape of Data Quality at CDER: an Overview of the Core DataFitness Assessment Crystal Allard,
Michelle Dieter,
Lilliam Rosario		 source
presentation source		 8
PHUSE US 2018 The Next Generation "Smart Program Repository" Hrideep Antony,
Aman Bahl		 source
presentation source		 8
PHUSE US 2018 Transforming Clinical Trials with Linked Data Tim P. Williams,
Armando Oliva		 source
presentation source		 9
PHUSE US 2018 Upholding Ethics and Integrity: A macro-based approach to detect plagiarism in programming Sridhar Vijendra,
Praveen Kumar		 source
presentation source		 7
PHUSE US 2018 Use of HL7 FHIR as eSource to Pre-populate CDASH Case Report Forms Using a CDISC ODM API Samuel Hume,
Geoff Low		 source
presentation source		 12
PHUSE US 2018 Want Submission-Ready Datasets Package from the Get-Go? Kishore Pothuri,
Bhavin Busa		 source 7
PHUSE US 2018 Why SAS Programmers Should Learn Python Too Michael Stackhouse source
presentation source		 6
PharmaSUG 2018 A Linux shell script to automatically compare results of statistical analyses Chen Wang,
Shu Zan,
Joshua Conrad		 source 9
PharmaSUG 2018 A Method for Independent Program Validation utilising SAS, R and Python Aik Hoe Seah source 13
PharmaSUG 2018 A SAS Macro to Create Validation Summary of Dataset Report Zemin Zeng source 6
PharmaSUG 2018 Accessing the Metadata from Define-XML Lex Jansen source 44
PharmaSUG 2018 Accredited, Bona fide, Certified, Diploma'ed, and Edumacated: The ABCDEs of Automating the Validation and Monitoring of Professional Requirements for Employees and Job Candidates Through Dynamic, Data-Driven SAS Reporting Troy Martin Hughes source 20
PharmaSUG 2018 ADaM Define.xml v2.0 Validation - The Perl Way in SAS Yuxin (Ellen) Jiang source 8
PharmaSUG 2018 An eSubmission Tracking Tool for both Components and Timelines Todd Case source 5
PharmaSUG 2018 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 source 35
PharmaSUG 2018 Avoid chasing one's Tail - Challenges and Solutions for managing changes in SDTM Standards Development Erica Davis,
Veena Nataraj		 source 7
PharmaSUG 2018 BEACH: an open platform for building interactive and automatic analysis powered by R/Shiny Danni Yu,
Michael Man		 source 19
PharmaSUG 2018 Best Practice for Explaining Validation Results in the Study Data Reviewer's Guide Kristin Kelly source 6
PharmaSUG 2018 Build Models without Code with the new SAS Visual Interface Jim Box source 12
PharmaSUG 2018 Challenges & Strategies in PKPD Programming Jing Su,
Jiannan Kang		 source 6
PharmaSUG 2018 Common Data Related Review Issues and Prevention: A Statistical Reviewer's Thoughts Huanyu Chen source 18
PharmaSUG 2018 Complying with the ADaM Compliance Rules Alyssa M. Wittle,
Steven R. Kirby		 source 4
PharmaSUG 2018 Confusing Data Validation Rules Explained Michael Beers source 6
PharmaSUG 2018 Customized Project Tracking with SAS and Jira Nancy Brucken source 8
PharmaSUG 2018 Developing Large SAS Macro Applications John Ingersoll source 13
PharmaSUG 2018 Diagnostics of technical errors in define.xml file Sergiy Sirichenko,
Max Kanevsky		 source 9
PharmaSUG 2018 Doctor-s 'Prescription' to Reengineer Process of Pinnacle21 Community Version Friendly ADaM Developm Aakar Shah,
Tracy Sherman		 source 9
PharmaSUG 2018 Electronic Data Submission and Utilization in Japan Yuki Ando source 25
PharmaSUG 2018 Experience of electronic data submission via Gateway to PMDA Kumiko Kimura,
Iori Sakakibara,
Laurence Carpenter		 source 7
PharmaSUG 2018 How to automate validation with Pinnacle 21 command line interface and SAS Aleksey Vinokurov source 9
PharmaSUG 2018 Improving Metadata Compliance and Assessing Quality Metrics with a Standards Library Veena Nataraj,
Erica Davis		 source 9
PharmaSUG 2018 Incorporating Pinnacle 21 with LSAF Aleksey Vinokurov,
Sandeep Juneja,
Sonali Garg		 source 6
PharmaSUG 2018 Infrastructure Designed to Maximize Workflow Paul D. Hamilton source 9
PharmaSUG 2018 Introducing Dynamic Data Quality Control Methods: Abstracting Data Validation through External Data Troy Martin Hughes source 20
PharmaSUG 2018 Levista - An Integrated Programming Environment with Visualization Priya Lakshmi Saradha source 4
PharmaSUG 2018 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 26
PharmaSUG 2018 Reflections on a Career in Clinical/Statistical/SAS Programming (35+ Years in the Making) Alan Meier source 6
PharmaSUG 2018 Report Compatibility: System to evaluate your code against volatile sources. Joseph Cooney,
Randy Santiano,
Craig Brelage		 source 12
PharmaSUG 2018 Risk-based Validation in Clinical Trial Reporting: Focus on What Matters Most Amber Randall,
William Coar		 source 10
PharmaSUG 2018 Some Common Programming Errors and Possible Solutions That Could Impact a Successful NDA/BLA Amos Shu source 5
PharmaSUG 2018 Statistical Programming: Revolution, Evolution, or Status Quo? Jeffrey M. Abolafia,
Frank C. DiIorio		 source 9
PharmaSUG 2018 Stay ahead of the game: Know the SDTM compliance check reject messages before creating your SDTM datasets Lixiang Larry Liu,
Yuqin Li		 source 6
PharmaSUG 2018 The Next Generation "Smart Program Repository" Hrideep Antony,
Aman Bahl		 source 8
PharmaSUG 2018 Tips and Fixes for Cross-Environment Batch Transfer of SAS Data Yun (Julie) Zhuo source 10
PharmaSUG 2018 To Error is Human: An Overview of Human Errors in SAS Programming and How to Mitigate Them Nagadip Rao source 9
PharmaSUG 2018 Validating R - Part of the Uphill Battle in the Pharmaceutical Industry Peter Schaefer,
Debra Fontana		 source 10
PharmaSUG 2018 Want Submission-Ready Datasets Package from the Get-Go? Kishore Pothuri,
Bhavin Busa		 source 8
PharmaSUG 2018 Watch Out For Blind Spots While Keeping Up With the Speed of Evolving Standards and Regulations Srinivas Veeragoni source 14
PharmaSUG 2018 When a Clinical Trial Lasts Forever: A Reporting Solution for Post-Market Surveillance of Cardiac Rhythm Devices Becky DeBus source 8
PharmaSUG 2018 Why organizations need MDR systems to manage metadata? Abhinav Jain source 7
PharmaSUG 2018 Why SAS Programmers Should Learn Python Too Michael Stackhouse source 7
SGF 2018 A Cautionary Tale of Using Machine Learning within Credit Risk in the Utilities Industry Spiros Potamitis,
Paul Malley		 source 8
SGF 2018 Application of Support Vector Machine Modeling and Graph Theory Metrics for Disease Classification Jessica Rudd source 10
SGF 2018 Automated Management of UNIX/Linux Multi-Tiered SAS Services: The Enhanced SAS_lsm Utility Clifford Meyers source 20
SGF 2018 Biomedical Image Analytics Using SAS Viya Fijoy Vadakkumpadan,
Saratendu Sethi		 source 12
SGF 2018 Claim Analytics: A Litigation Prediction Case Study Mei Najim source 18
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
SGF 2018 Credit Score: A Comparison of Gradient Boosting with Logistic Regression in Practical Cases Paulo Di Cellio Dias,
Marc Witarsa		 source 25
SGF 2018 Data Integration Best Practices Harry Droogendyk source 17
SGF 2018 Demystify Income Models with Advanced Machine Learning Techniques for Ultimate Accuracy Vickey Chang source 18
SGF 2018 Distribution Circuit Load Forecasting Using Advanced Metering Infrastructure Data Prasenjit Shil,
Tom Anderson		 source 12
SGF 2018 Doin' Data Quality in SAS Viya Brian Rineer source 9
SGF 2018 Enable Personal Data Governance for Sustainable Compliance Vincent Rejany source 24
SGF 2018 Enhancing Subscription-Based Business by Predicting Churn Likelihood Smitha Etlapur source 12
SGF 2018 Examining the Drivers of Hospital Re-admission of Type-2 Diabetic patients Shashank Reddy Gudipati source 9
SGF 2018 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 24
SGF 2018 Getting to Know the No-Show: Predictive Modeling of Missing a Medical Appointment Joe Lorenz source 10
SGF 2018 How Good is That Forecast? The Nuances of Prediction Evaluation Across Time Aric LaBarr source 7
SGF 2018 Image Processing: Seeing the World through the Eyes of SAS Viya Ivan Gomez source 11
SGF 2018 Improved Campaigning at Africa's Largest Pay TV Service Provider with SAS Marketing Optimization Jean De Villiers source 16
SGF 2018 Improving Scheduling and Strategic Planning at J. P. Morgan Chase's Card Production Center Jay P. Carini source 12
SGF 2018 Invoiced: Using SAS Text Analytics to Calculate Final Weighted Average Price Alexandre Carvalho source 16
SGF 2018 Is Your Data Viable? Preparing Your Data for SAS Visual Analytics 8.2 Gregor Herrmann source 10
SGF 2018 Latest and Greatest: Best Practices for Migrating to SAS 9.4 Alec S. Fernandez,
Leigh Fernandez		 source 14
SGF 2018 Machine Learning Bots for Fraud, Waste, and Abuse Michael Ames source 9
SGF 2018 Make SAS Enterprise Miner Play Nicely with SAS Viya Beth Ebersole source 31
SGF 2018 Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS Kyle Biron source 20
SGF 2018 Multi-Factor Authentication with SAS and Symantec VIP Jody Steadman,
Michael Roda		 source 16
SGF 2018 Navigating the Analytics Life Cycle with SAS Visual Data Mining and Machine Learning Susan Haller,
Brett Wujek		 source 29
SGF 2018 New Ways to Incorporate Continuous Predictors in Generalized Linear Models Anthony Salis,
Angela Wu,
Gordon Johnston		 source 15
SGF 2018 Penalized Variable Selection and Quantile Regression in SAS : An Overview Russell M. Lavery source 28
SGF 2018 Personal Lending: What is Customer Price/Credit Optimization? Is Experimental Design Inevitable? Yuri Medvedev source 20
SGF 2018 Predicting Major League Baseball Game Outcomes Justin Long source 6
SGF 2018 Preparing Students to Take the Base SAS Certification Exam, Training Students to Think Like SAS Herman Ray source 4
SGF 2018 Reducing Customer Attrition with Machine Learning for Financial Institutions Nathaniel Derby source 14
SGF 2018 Regression Model Building for Large, Complex Data with SAS Viya Procedures Weijie Cai,
Robert N. Rodriguez		 source 22
SGF 2018 Risk Pathways: Using Machine Learning Techniques of SAS Viya to Understand Customer Risk Drivers Leigh Ann Herhold source 14
SGF 2018 Robust Principal Component Analysis: Two Analyses in One Anthony Salis,
Zohreh Asgharzadeh,
Kyungduck Cha		 source 11
SGF 2018 Robust Tuning for Machine Learning Alex Glushkovsky source 22
SGF 2018 Role of Preventive Care and Lifestyle Changes in Chronic Diseases Asish Satpathy,
Satyajit Behari		 source 13
SGF 2018 Run-Time Validation of SAS Jobs: A Threesome of Error-Throwing Macros Quentin McMullen source 18
SGF 2018 Sentiment Analysis of Netflix and Competitor Tweets to Classify Customer Opinions Rucha Jadhavar,
Agastya Komarraju		 source 15
SGF 2018 Sentiment Analysis on YouTube Movie Trailer Comments to Determine the Impact on Box-Office Earnings Rishanki Jain source 9
SGF 2018 Shorter Waiting Time, Better Emergency Healthcare: Forecasting Stockholms' Emergency Room Visits Martin Nordberg,
Oskar Eriksson		 source 24
SGF 2018 Taming Change: Bulk Upgrading SAS 9.4 Environments to a New Maintenance Release Javor Evstatiev,
Andrey Turlov		 source 10
SGF 2018 The Baker Street Irregulars Investigate: Discoveries Using Perl Regular Expressions and SAS Lisa A. Mendez,
Peter W. Eberhardt		 source 33
SGF 2018 The Ensemble of Neural Network and Gradient Boosting for the Prediction of Customer Profitability Sunny Lam source 15
SGF 2018 The Ins and Outs of Internal and External Host Names with SAS Grid Manager Paula Kavanagh source 12
SGF 2018 The New Era of Credit Risk Modeling and Validation [presentation] Boaz Galinson source 22
SGF 2018 University CSU: A Web-Based Space Utilization Tool for Investigating Trends in University Room Use Hilary Melroy source 5
SGF 2018 Using Predictive Analytics to Improve a Student Advising System Thanuja Sakruti,
Youyou Zheng		 source 13
SGF 2018 Validating User-Submitted Data Files with Base SAS Michael A. Raithel source 16
SGF 2018 What's New in SAS Data Management Nancy A. Rausch source 11
SGF 2018 Your Data Visualization Game Is Strong Take It to Level 8.2 Brandon Kirk,
Jason Shoffner		 source 10
SESUG 2017 A macro of building predictive model in PROC LOGISTIC with AIC-optimal variable selection embedded in cross-validation Hongmei Yang source 7
SESUG 2017 An Introduction to Visit Window Challenges and Solutions Mai Ngo source 6
SESUG 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson source 35
SESUG 2017 Data movement issues: Explicit SQL Pass-Through can do the trick Kiran Venna source 8
SESUG 2017 Everyone can use a little Currency - when dependent data set updates silently make your analysis data set out of date Scott Worrell source 8
SESUG 2017 Exploring JMP Modeling Functionality Using Consumer Expenditure Data Joshua Klick source 12
SESUG 2017 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 25
SESUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Stephen B. Sloan,
Kirk Paul Lafler		 source 25
SESUG 2017 I Spy PII: Detect, Protect, and Monitor Personal Data with SAS Data Management Cecily Hoffritz source 33
SESUG 2017 MOPP the SOP - Makeover of Programming Process Steps in the Standard Operating Procedure Kristin Danna,
Kathy Harkins,
Lisa Spring		 source 5
SESUG 2017 One Project, Two Teams: The Unblind Leading the Blind Kristen Reece Harrington source 5
SESUG 2017 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 25
SESUG 2017 Streamlining ADaM Dataset Specifications Hunter Vega source 6
SCSUG 2017 Analysis of the effects of financial parameters on GDP and poverty using panel data analysis. Akshay Arora source 13
SCSUG 2017 Analyzing Theft Occurrences in Chicago Using SAS Enterprise Miner 14.1 Shikha Prasad,
Kunal Parekh,
Goutam Chakraborty,
Miriam McGaugh		 source 10
SCSUG 2017 Classifying and Predicting Spam Messages Using Text Mining in SAS Enterprise Miner Venkata Kondamudi,
Sai Mounika,
Balamurugan Mohan		 source 14
SCSUG 2017 Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
SCSUG 2017 Prediction of Used Cars? Prices by Using SAS EM Jaideep Muley,
Vijay Kumar Movva		 source 12
SCSUG 2017 Predictive Analysis for Classifying Type 2 Diabetes Patients Using SAS Enterprise Miner 14.1 and SAS Enterprise Guide 7.1 Saurabh Sanjayrao Kokad source 10
SCSUG 2017 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SCSUG 2017 Risk Based Monitoring (RBM) with SAS Visual Analytics Prasoon Sangwan,
Piyush K. Singh,
Faraz Khan		 source 10
SCSUG 2017 Sentiment Analysis on YouTube Movie Trailer Comments to Determine the Impact on Box-Office Earnings Rishanki Jain source 9
SCSUG 2017 Text Mining on Donor's Conversation with Solicitors Harsh Gupta source 12
PHUSE EU 2017 ADaM Mapping - KeyConsiderations forMetadata Driven Realization Elenea Gathe source 12
PHUSE EU 2017 An FDA Submission Experience Using the CDISC Standards Angelo Tinazzi,
Cédric Marchand		 source
presentation source		 15
PHUSE EU 2017 Assessing New CFDA Requirements on Data Integrity Using Risk-Based Monitoring and Enrollment Patterns Wenjun Bao,
Richard C. Zink,
Geoffrey A. Mann		 source
presentation source		 13
PHUSE EU 2017 Breaking the Mould: Clinical Trials Data as RDF Tim P. Williams,
Armando Oliva		 source
presentation source		 6
PHUSE EU 2017 Common Mistakes by Programmers & Remedies Venkata Sairam Veeramalla source
presentation source		 9
PHUSE EU 2017 Connected Trials Abi Velurethu source
presentation source		 10
PHUSE EU 2017 Constrain your Terminology - Use Integrity Constraints to Validate your Data Sven Greiner source
presentation source		 9
PHUSE EU 2017 Data Cleaning Technique for Business Analytics: What Stats Van Do for DM Adam Korczynski source
presentation source		 16
PHUSE EU 2017 Dipping our Fingers into the World of Data Representation - A Visual Journey Using Encapsia Clinica Minola Ilica source
presentation source		 4
PHUSE EU 2017 Experiences of Managing Quality Registry Data for Effective Exploration Catharina Dahlbo source
presentation source		 6
PHUSE EU 2017 Formedix On: A Powerful Platform to Accelerate Clinical Trials Kevin Burges source
presentation source		 2
PHUSE EU 2017 Git with It and Version Control! Carrie Dundas-Lucca,
Ivan Gomez		 source 6
PHUSE EU 2017 How a Metadata Repository can Facilitate Automated Data Collection Processes Judith Goud source
presentation source		 8
PHUSE EU 2017 Implementing a Meta-data Repository (MDR) Using Functional Service Provider (FSP) How Does it Work? Carla Santillán source
presentation source		 12
PHUSE EU 2017 Making Graphs Easier to Validate - The Benefits of ODS Graphics Philip R. Holland source
presentation source		 12
PHUSE EU 2017 PHUSE is Moving Cloud Adoption Forward in Life Sciences Tony Hewer source
presentation source		 6
PHUSE EU 2017 Programming Development and Validation Tracking Application Jennie McGuirk,
Rachna Mishra		 source
presentation source		 7
PHUSE EU 2017 Programming Solutions when Developing a Database Compare Macro Michael S Rimler source
presentation source		 8
PHUSE EU 2017 REACTing to Data: The Use of Data Visualisation within Early Clinical StatisticalProgramming at AstraZeneca Shyamprasad Perisetla,
Suzanne Tautz		 source
presentation source		 6
PHUSE EU 2017 SDTM vs CDASH: Why You Need Them Both! [presentation] Kit Howard,
Shannon Labout		 source 20
PHUSE EU 2017 Statistical End User Tool Development Mickael Borne source
presentation source		 15
PHUSE EU 2017 Streamline SDTM Development and QC Stephen Gormley source
presentation source		 9
PHUSE EU 2017 The TFL Workbench:From Pilot to Production Iain Humphreys,
Hansjörg Frenzel		 source
presentation source		 11
PHUSE EU 2017 Worst CDISC Implementation Processes - How to Avoid Some Very Basic Mistakes in SDTM ADaM Define Hannes Engberg Reader,
Michale Riech		 source
presentation source		 10
MWSUG 2017 Arbovirus, Varicella and More: Using SAS for Reconciliation of Disease Counts Misty Johnson 8
MWSUG 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 35
MWSUG 2017 Claim Analytics Mei Najim 18
MWSUG 2017 Cleaning Messy Data: SAS Techniques to Homogenize Tax Payment Data Aaron Barker 8
MWSUG 2017 From Device Text Data to a Quality Data Set Laurie Smith 6
MWSUG 2017 Logistic Model Selection with SAS PROC's LOGISTIC, HPLOGISTIC, HPGENSELECT Bruce S. Lund 18
MWSUG 2017 Untangle Customer's Incrementality using Uplift Modeling with a Case Study on Direct Marketing Campaign Hairong Gu,
Yi Cao,
Chao Xu		 8
WUSS 2017 A Quick Look at Fuzzy Matching Programming Techniques Using SAS Software Kirk Paul Lafler,
Stephen B. Sloan		 source 25
WUSS 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Radhikha Myneni source 23
WUSS 2017 Automated Validation of Complex Clinical Trials Made Easy Richann J. Watson,
Joshua M. Horstman		 source 34
WUSS 2017 Examining Distributional Shifts by Using Population Stability Index (PSI) for Model Validation and Diagnosis Alec Zhixiao Lin source 7
WUSS 2017 Five Things You Should Know about Quantile Regression Robert N. Rodriguez source 19
WUSS 2017 Integrating Health Data Sources to Identify, Stratify, and Predict High Utilizers of Public Systems Benjamin Knisley,
Joshua Morgan,
Linn Carothers,
Keith Haigh		 source 15
WUSS 2017 Maximizing Cross-Sell Opportunities with Predictive Analytics for Financial Institutions Nathaniel Derby source 16
WUSS 2017 Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow Troy Martin Hughes source 26
WUSS 2017 Programming Triage: Rooting Out Dataset Discrepancies in the Validation Process Julia Sturgeon source 7
WUSS 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez source 19
WUSS 2017 Validation Method Selection, Not Just a 'Match' Rituraj Saxena,
Jeanina M. Worden		 source 9
PharmaSUG CN 2017 How to read RTF files into SAS dataset? Zhao Chunpeng 7
PharmaSUG CN 2017 Project Standard Implementation [presentation] Yun Ma 12
PharmaSUG 2017 ADaM Compliance - Validating your Specifications Trevor Mankus,
Kent Letourneau		 source 9
PharmaSUG 2017 Ahead of the Curve: Leading with Industry Data Requirements Maria Dalton,
Nancy Haeusser		 source 17
PharmaSUG 2017 An Efficient Solution to Efficacy ADaM Design and Implementation Chengxin Li,
Zhongwei Zhou		 source 7
PharmaSUG 2017 Awareness from Electronic Data Submission to PMDA and FDA -- Lesson & Learnt from hands-on experiences -- Yuichi Nakajima,
Takashi Kitahara,
Ryan Hara		 source 12
PharmaSUG 2017 Beyond - Just fix it!- Application of Root Cause Analysis Methodology in SAS Programming. Nagadip Rao source 8
PharmaSUG 2017 Common Mistakes by Programmers & Remedies Sairam Veeramalla source 9
PharmaSUG 2017 Common Programming Errors in CDISC data Sergiy Sirichenko source 9
PharmaSUG 2017 Creating Define-XML version 2 including Analysis Results Metadata with the SAS Clinical Standards Toolkit Lex Jansen source 31
PharmaSUG 2017 Data Integrity: One step before SDTM Pavan Kathula,
Sonal Torawane		 source 9
PharmaSUG 2017 Data Monitoring Committee Report Programming: Considering a Risk-Based Approach to Quality Control Amber Randall,
Bill Coar		 source 9
PharmaSUG 2017 Dear Dave, Please See the .LST File for Our Validation Differences. Thanks, Bad Validation Programmer Tracy Sherman,
David W. Carr,
Brian P. Fairfield-Carter		 source 9
PharmaSUG 2017 Everyone can use a little Currency - when dependent data set updates silently make your analysis data set out of date Scott Worrell source 8
PharmaSUG 2017 Excel-VBA Tool to Auto-Create Validation log and Review Form using List of TLF-s. Balaji Ayyappan source 6
PharmaSUG 2017 Good Data Validation Practice Sergiy Sirichenko,
Max Kanevsky		 source 10
PharmaSUG 2017 How will FDA Reject non-CDISC submission? Kevin Lee source 6
PharmaSUG 2017 Innovation and Regulatory Review What is JumpStart? Alan Shapiro source 24
PharmaSUG 2017 Obtaining an Automated Summary of PROC COMPARE Results: &SYSINFO and VB Script Umesh Gautam,
Jeff Roberts		 source 5
PharmaSUG 2017 One Project, Two Teams: The Unblind Leading the Blind Kristen Reece Harrington source 5
PharmaSUG 2017 Population PK/PD Analysis - SAS with R and NONMEM Make Customization Easy Sharmeen Reza source 11
PharmaSUG 2017 Quality Check your CDISC Data Submission Folder Before It Is Too Late! Bhavin Busa source 9
PharmaSUG 2017 Real Time Clinical Trial Oversight with SAS Ashok Gunuganti source 7
PharmaSUG 2017 Supporting the CDISC Validation Life-Cycle with Microsoft Excel VBA Eric Crockett source 7
PharmaSUG 2017 The Do-s/Don-ts, An SDTM Validation Perspective. The should/shouldn-t when explaining issues in the Study Data Reviewers Guide Thomas Guinter source 8
PharmaSUG 2017 Update on Data Standards Ronald Fitzmartin source 25
PharmaSUG 2017 Usage of Pinnacle 21 Community Toolset 2.x.x for Clinical Programmers Sergiy Sirichenko,
Michael DiGiantomasso		 source 23
SGF 2017 A Data Mining Approach to Predict Students at Risk Youyou Zheng,
Thanuja Sakruti		 source 13
SGF 2017 A Novel Approach to Calculating Medicare Hospital 30-Day Readmissions for the SAS Novice Karen E. Wallace source
pdf		 11
SGF 2017 Am I Getting the Most Value out of My SAS Installation Dollars? Al Cordoba source 7
SGF 2017 An Overview of SAS Visual Data Mining and Machine Learning on SAS Viya Jonathan Wexler,
Susan Haller		 source 23
SGF 2017 Automate Validation of CDISC SDTM with SAS Sy J. Truong source 11
SGF 2017 Automated Hyperparameter Tuning for Effective Machine Learning Patrick Koch,
Brett Wujek,
Oleg Golovidov,
Steven Gardner		 source 23
SGF 2017 Befriend SAS In-Database Technologies to Accelerate SAS Integration with Your Data Platform Tatyana Petrova source 16
SGF 2017 Building Bayesian Network Classifiers Using the HPBNET Procedure Ye Liu,
Weihua Shi,
Wendy Czika		 source 19
SGF 2017 Change Management: Best Practices for Implementing SAS Prescriptive Analytics Scott Shuler source 4
SGF 2017 Data Validation Using the SAS SORT Procedure and MERGE Statement Barry Frye source 11
SGF 2017 Develop a Simple Data Governance Program for a SAS Customer Intelligence Environment in 90 Days Aaron Nelson source 12
SGF 2017 Developing a Predictive Model of Physician Attribution of Patient Satisfaction Surveys Ken Ferrell source 5
SGF 2017 Examining Higher Education Performance Metrics with SAS Enterprise Miner and SAS Visual Analytics Taylor Blaetz,
Tuesdi Helbig,
Gina Huff,
Matt T. Bogard		 source 15
SGF 2017 Exploring the Art and Science of SAS Text Analytics: Best Practices in Developing Rule-Based Models Murali Krishna Pagolu,
Cheyanne Baird,
Christina Engelhardt		 source 15
SGF 2017 Five Things You Should Know about Quantile Regression Robert N. Rodriguez,
Yonggang Yao		 source 19
SGF 2017 Geospatial Analysis: Linear, Nonlinear, or Both? Kelsey Osterloo,
Angela Wu		 source 14
SGF 2017 Health-Care Data Sharing and Innovative Analytic Development in Distributed Data Networks Jennifer R. Popovic source 9
SGF 2017 I Spy PII: Detect, Protect, and Monitor Personally Identifiable Information with SAS Federation Server Cecily Hoffritz source 33
SGF 2017 Interactive Modeling in SAS Visual Analytics Donald R. Chapman,
Jonathan Wexler		 source 16
SGF 2017 Maximizing Cross-Sell Opportunities with Predictive Analytics for Financial Institutions Nathaniel Derby source 16
SGF 2017 Modeling the Merchandise Return Behavior of Anonymous and Non-Anonymous Online Apparel Retail Shoppers Sunny Lam source 20
SGF 2017 Outline Outliers: Adding a Business Sense Alex Glushkovsky source 17
SGF 2017 Pillars of a Successful SAS Implementation with Lessons from Boston Scientific Brian Bell,
Patricia S. Aanderud		 source 7
SGF 2017 Platform a la Carte: An Assembly Line to Create SAS Enterprise BI Server Instances with Ansible Javor Evstatiev,
Andrey Turlov		 source 9
SGF 2017 Predictive Models: Storing, Scoring, and Evaluating Matthew Duchnowski source 10
SGF 2017 Price Recommendation Engine for Airbnb Praneth Guggilla,
Singdha Gutha,
Goutam Chakraborty		 source 10
SGF 2017 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim source 17
SGF 2017 Quality Control Programming: A Lost Art? Amber Randall,
Bill Coar		 source 15
SGF 2017 Random Forests with Approximate Bayesian Model Averaging Tiny Du Toit,
Andre De Waal		 source 11
SGF 2017 Real AdaBoost: Boosting for Credit Scorecards and Similarity to WOE Logistic Regression Paul Edwards source 12
SGF 2017 Step Up Your Statistical Practice with Today's SAS/STAT Software Robert N. Rodriguez,
Phil Gibbs		 source 19
SGF 2017 The Three Amigos Factors: Determining Term Deposit Purchases: How a Bank Can Get Other People's Money Gina Colaianni,
Bogdan Gadidov,
Matthew Mitchell		 source 59
SGF 2017 Using SAS Data Management Advanced to Ensure Data Quality for Master Data Management Brian Smith source 20
SGF 2017 Using SAS to Analyze Emergency Department Visits: Medicaid Patients Compared to Other Pay Sources Bradley Casselman,
Taylor K. Larkin,
Denise J. McManus		 source 16
SGF 2017 What Statisticians Should Know about Machine Learning David Richard Cutler source 13
SCSUG 2016 Analysis of degradation patterns in the clinical efficacies of anti-microbial drug usage Shweta Arya,
Bhuvaneswari Yallabandi		 source 12
SCSUG 2016 Analyzing sentiments in tweets for Tesla Model 3 Praneth Guggilla,
Tejaswi Jha,
Goutam Chakraborty		 source 12
SCSUG 2016 Categorization of Fitbit's Customer Complaints on Twitter Sapna Bhoir,
Jacky Arora		 source 17
SCSUG 2016 Determining the functionality of Water Pumps in Tanzania Using SAS EM and VA Indra Kiran Chowdavarapu,
Vivek Damodaran Manikandan		 source 9
SCSUG 2016 SASGSUB for Job Workflow and Log Files Piyush K. Singh,
Prasoon Sangwan		 source 9
SCSUG 2016 Show Me the Money! Text Analytics for Decision-Making in Government Spending Tom Sabo source 13
SESUG 2016 Are You Sure That Is Correct?: An Overview Of Good Practices For Dataset And Output Validation Gregory Weller source 8
SESUG 2016 Array Programming Basics John J. Cohen source 11
SESUG 2016 Empowering Self-Service Capabilities with Agile Analytics Paul Segal,
Tho H. Nguyen,
Bob Matsey		 source 8
SESUG 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Kennedy Onzere,
Cheryl Joneckis,
Xuelei (Sherry) Ni		 source 62
SESUG 2016 Know your Interest Rate Anirban Chakraborty,
Goutam Chakraborty		 source 16
SESUG 2016 LS-120: A Novel Approach to Calculating Medicare Hospital 30-Day Readmissions for the SAS Novice Karen E. Wallace source 12
SESUG 2016 Predicting student success based on interactions with virtual learning environment Vivek Doijode,
Neha Singh		 source 10
SESUG 2016 SAS Debugging 101 Kirk Paul Lafler source 13
SESUG 2016 Text Analysis of American Airline s Customer Reviews Rajesh Tolety source 7
SESUG 2016 Text mining and sentiment analysis on video game user reviews using SAS Enterprise Miner Mukesh Kumar Singh,
Nikhil Batti,
Miriam McGaugh		 source 13
SESUG 2016 The Demystification of a Great Deal of Files Chao-Ying Hsieh source 7
PHUSE EU 2016 A Standardised Approach to De-identification Christopher C. Hurley source
presentation source		 13
PHUSE EU 2016 An Update from the PHUSE Working Group on Cloud Adoption in the Regulated Life Sciences Industry Tony Hewer source
presentation source		 33
PHUSE EU 2016 Challenges and Opportunities with the Implementation of a Single-instance Cloud Research Platform Doug Bain source
presentation source		 16
PHUSE EU 2016 Clinical SAS Application Development in a GRID environment Giri Balasubramanian,
Edwin Ponraj Thangarajan		 source
presentation source		 8
PHUSE EU 2016 CompareDirectory - Macro Bits and Pieces in Action Lawrence Heaton-Wright source
presentation source		 7
PHUSE EU 2016 Constructing a Clinical Data Warehouse for Nutrition Studies [presentation] Paul Vervuren source 27
PHUSE EU 2016 Continuous Improvement for TFL Production Caroline Terrill source
presentation source		 5
PHUSE EU 2016 Data De-identification Made Simple Jørgen Mangor Iversen source
presentation source		 6
PHUSE EU 2016 Efficiency and Delivery Driven by Metadata [presentation] Magnus Mengelbier source 15
PHUSE EU 2016 Efficiency comes From Reusability and Repeatability Hanming Tu,
Dave Evans		 source
presentation source		 10
PHUSE EU 2016 Fast and High-quality Validation Process Andrea Parodi,
Dimitri Petratchenko		 source
presentation source		 7
PHUSE EU 2016 Get Kitted Out - A Practical Guide to SAS Certifications, MOOCs and Hands-on Experience Hannes Engberg Raeder source 6
PHUSE EU 2016 How a Metadata Repository Enables Dynamism and Automation in SDTM-like SAS Dataset Generation Judith Goud,
Akana Shetty		 source
presentation source		 7
PHUSE EU 2016 How to Effectively Deal with Hard-coding and CDISC Controlled Terminology in Clinical Studies Lennert van der Zee source
presentation source		 10
PHUSE EU 2016 Is the Statistical Programming Process Lean Enough? Simon Jennings source
presentation source		 9
PHUSE EU 2016 Japanese Electronic Submission in CDISC Formats Takashi Kitahara source
presentation source		 8
PHUSE EU 2016 Making the Leap from Excel to a Database Used for Reporting Shafi Chowdhury,
Marco Ackermann		 source
presentation source		 8
PHUSE EU 2016 Scientific Data Curation: Efficiently Extracting Structured Data from Publications Rupali Desai,
Nand Kishore Rawat		 source
presentation source		 11
PHUSE EU 2016 The Data Detective: Hints and Tips for Independent Programming QC Bethan Thomas source 11
PHUSE EU 2016 The Hardships of Finding your Way in Biometrics Evi Creebsburg source 4
PHUSE EU 2016 The TFL Workbench: Tools to Standardise and Accelerate Table, Figure and Listing (TFL) Programming Iain Humphreys,
Hansjörg Frenzel		 source
presentation source		 10
PHUSE EU 2016 To Create Define-XML Using - XML and the OpenCDISC Validator [presentation] Murali Neela source 17
PHUSE EU 2016 Upstream with Your Statistician and a Data Visualisation Paddle Nick Cowans source
presentation source		 6
PHUSE EU 2016 ValidR Enterprise: Developing an R Validation Framework Andy Nicholls source
presentation source		 11
PHUSE EU 2016 What Auditors Want Angelo Tinazzi,
Cédric Marchand		 source
presentation source		 8
PHUSE EU 2016 What is high quality study metadata? Sergiy Sirichenko,
Max Kanevsky		 source
presentation source		 9
MWSUG 2016 A Quick Macro to Replace Missing Values with NULL for Numeric Fields within a CSV File John Schmitz 4
MWSUG 2016 An Innovative Method of Customer Clustering Brian Borchers 6
MWSUG 2016 Analyzing sentiments in tweets for Tesla Model 3 using SAS Enterprise Miner and SAS Sentiment Analysis Studio Tejaswi Jha,
Praneth Guggilla		 12
MWSUG 2016 Analyzing the Effect of Weather on Uber Ridership Snigdha Gutha,
Anusha Mamillapalli		 11
MWSUG 2016 Defensive Coding by Example: Kick the Tires, Pump the Brakes, Check Your Blind Spots, and Merge Ahead! Nancy Brucken,
Donna E. Levy		 16
MWSUG 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Mike Wise		 22
MWSUG 2016 Property and Casualty Insurance Predictive Analytics in SAS Mei Najim 17
MWSUG 2016 Reducing Customer Attrition with Predictive Analytics for Financial Institutions Nathaniel Derby,
Mark Keintz		 15
MWSUG 2016 SAS Debugging 101 Kirk Paul Lafler 13
MWSUG 2016 The Joinless Join ~ The Impossible Dream Come True; Expand the Power of Base SAS and SAS Enterprise Guide in a New Way Kent Phelps,
Ronda Phelps		 49
MWSUG 2016 Time is of Essence: The power of "MISS" is "NOT being missed"! Gowri Madhavan,
Brittney Delev		 11
MWSUG 2016 Use Multi-Stage Model to Target the Most Valuable Customers Chao Xu,
Jing Ren,
Hongying Yang		 10
PharmaSUG CN 2016 Blind Data Review in Clinical Trials [presentation] Jiashu Li,
Dong Guo		 4
PharmaSUG CN 2016 Proposal for Streamlining the SDRG and ADRG Authoring Process [presentation] Stanley Wei 1
WUSS 2016 An Animated Guide: Incremental Response Modeling in Enterprise Miner Russell M. Lavery source 19
WUSS 2016 Are you ready for Dec 17th, 2016 - CDISC compliant data submission? Kevin Lee source 6
WUSS 2016 Categorization of Fitbit's Customer Complaints on Twitter Jacky Arora,
Sapna Bhoir		 source 17
WUSS 2016 Don't Get Blindsided by PROC COMPARE Roger D. Muller,
Joshua M. Horstman		 source 7
WUSS 2016 Hierarchical Generalized Linear Models for Behavioral Health Risk-Standardized 30-Day and 90-Day Readmission Rates Allen Hom source
pptx		 20
WUSS 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Mike Wise,
Justina M. Flavin		 source 20
WUSS 2016 How we know an intervention works: Program evaluation by example AnnMaria De Mars source 13
WUSS 2016 SDD project management tool, real-time and hassle free---- A one-stop shop for study validation and status tracking Chen Shi source 4
WUSS 2016 Text Analysis of American Airline s Customer Reviews Saurabh Choudhary,
Rajesh Tolety		 source 9
WUSS 2016 Using Shared Accounts in Kerberized Hadoop Clusters with SAS: How Can I Do That? Michael Shealy source 11
WUSS 2016 You are the Concierge - a CDISC compliant project management tool on SDD Chen Shi source 1
PharmaSUG 2016 Achieving Clarity through Proper Study Documentation: An Introduction to the Study Data Reviewer's Guide (SDRG) Michael Stackhouse,
Terek J. Peterson		 source 5
PharmaSUG 2016 An Intersection of Pharma and Medical Devices - Development of Companion Diagnostics in Conjunction with Targeted Therapies Carey G. Smoak source 4
PharmaSUG 2016 Building Efficiency and Quality in SDTM Development Cycle Kishore Pothuri,
Bhavin Busa		 source 6
PharmaSUG 2016 Conformance, Compliance, and Validation: An ADaM Team Lead-s Perspective John K. Troxell source 7
PharmaSUG 2016 Consider Define.xml Generation during Development of CDISC Dataset Mapping Specifications Vara Prasad Reddy Sakampally,
Bhavin Busa		 source 6
PharmaSUG 2016 Creating Define-XML version 2 including Analysis Results Metadata with the SAS Clinical Standards Toolkit Lex Jansen source 29
PharmaSUG 2016 Data Validation: Bolstering Quality and Efficiency Anusuiya Ghanghas,
Houde Zhang,
Rajinder Kumar		 source 3
PharmaSUG 2016 Data Visualization for Quality Control in NONMEM Data set Linghui Zhang source 9
PharmaSUG 2016 Delivering a quality CDISC compliant accelerated submission using an outsourced model Mei Dey,
Diane Peers		 source 8
PharmaSUG 2016 Duplicate records - it may be a good time to contact your data management team Sergiy Sirichenko,
Max Kanevsky		 source 8
PharmaSUG 2016 Enhanced OpenCDISC Validator Report for Quick Quality Review Ajay Gupta source 12
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
PharmaSUG 2016 Quality, Timely and Within Budget Analysis and Reporting - Yes, you can have all three! A process and tool to help achieve this goal Wilminda Martin,
Sharon Niedecken,
Syamala Schoemperlen		 source 12
PharmaSUG 2016 Results-Level Metadata: What, How, and Why Frank C. DiIorio,
Jeffrey M. Abolafia		 source 11
PharmaSUG 2016 SDTM Automation with Standard CRF Pages Taylor Markway source 10
PharmaSUG 2016 Standards Implementation & Governance: Carrot or Stick? Julie Smiley,
Judith Goud		 source 6
PharmaSUG 2016 Strategic Considerations for CDISC Implementation Amber Randall,
William Coar		 source 6
PharmaSUG 2016 The Devil is in the Details - Reporting from Pinnacle 21 (OpenCDISC) Validation Report Amy Garrett,
Chris Whalen		 source 11
PharmaSUG 2016 Usage of Pinnacle 21 Community Toolset 2.1.1 for Clinical Programmers Sergiy Sirichenko,
Michael DiGiantomasso,
Travis Collopy		 source 19
PharmaSUG 2016 Validation Methods and Strategies for Presentation of Clinical Reports: The Programmers Road Map to Success Vijayata Sanghvi source 5
PharmaSUG 2016 What is high quality study metadata? Sergiy Sirichenko,
Max Kanevsky		 source 9
SGF 2016 3N Validation to Validate PROC COMPARE Output Amarnath Vijayarangan source
presentation		 7
SGF 2016 A Property and Casualty Insurance Predictive Modeling Process in SAS Mei Najim source 14
SGF 2016 A Silver Lining in the Cloud: Deployment of SAS Visual Analytics 7.2 on AWS Vimal Raj,
Rajesh Inbasekaran		 source 19
SGF 2016 Accelerate the Time to Value by Implementing a Semantic Layer Using SAS Visual Analytics Arun Sugumar,
Vignesh Balasubramanian,
Harsh Sharma		 source 12
SGF 2016 Analysis of IMDb Reviews for Movies and Television Series Using SAS Enterprise Miner and SAS Sentiment Analysis Studio Ameya Jadhavar,
Goutam Chakraborty,
Prithvi Raj Sirolikar		 source 17
SGF 2016 Application of Data Mining Techniques in Improving Breast Cancer Diagnosis Josephine Akosa source
presentation		 10
SGF 2016 Application of Gradient Boosting through SAS Enterprise Miner to Classify Human Activities Minh Pham,
Mary Ruppert-Stroescu,
Mostakim Tanjil		 source
presentation		 8
SGF 2016 Architecture and Deployment of SAS Visual Analytics 7.2 with a Distributed SAS LASR Analytic Server for Showcasing Reports to the Public Vimal Raj,
Ratul Saha		 source 9
SGF 2016 Arrest Prediction and Analysis based on a Data Mining Approach Karan Rudra,
Goutam Chakraborty,
Maitreya Kadiyala		 source 9
SGF 2016 Best Practices for Effective Model Risk Management Satish Garla,
Sukhbir Dhillon		 source 15
SGF 2016 Classifying Fatal Automobile Accidents in the US, 2010-2013: Using SAS Enterprise Miner to Understand and Reduce Fatalities Catherine LaChapelle,
Daniel Brannock,
Aric LaBarr,
Craig Shaver		 source 11
SGF 2016 Comparative Regional Analysis of Bacterial Pneumonia Readmission Patients in the Medicare Category Heramb Joshi,
Goutam Chakraborty,
William Paiva,
Aditya Sharma		 source 12
SGF 2016 Credit Card Interest and Transactional Income Prediction with an Account-Level Transition Panel Data Model Using SAS/STAT and SAS/ETS Software Denys Osipenko source 20
SGF 2016 Cyclist Death and Distracted Driving: Important Factors to Consider Lysbeth Floden,
Melanie Bell,
Patrick O'Connor		 source 12
SGF 2016 Designed to Fail: Approximately Right vs Precisely Wrong Pratapsinh Patil,
Aaron Raymond,
Sachin Verma		 source 7
SGF 2016 Diagnosing Obstructive Sleep Apnea: Using Predictive Analytics Based on Wavelet Analysis in SAS/IML Software and Spectral Analysis in PROC SPECTRA Woranat Wongdhamma source 12
SGF 2016 Ensemble Modeling: Recent Advances and Applications Wendy Czika,
Ye Liu		 source 20
SGF 2016 Enterprise Data Governance across SAS and Beyond Jeff Stander source 20
SGF 2016 Extracting Useful Information From the Google Ngram Data Set: A General Method to Take the Growth of the Scientific Literature into Account Aurélien Nicosia,
Thierry Duchesne,
Samuel Perreault		 source 14
SGF 2016 Factors of Multiple Fatalities in Car Crashes Bill Bentley,
Gina Colaianni,
Cheryl Joneckis,
Sherry Ni,
Kennedy Onzere		 source 60
SGF 2016 Finding and Evaluating Multiple Candidate Models for Logistic Regression Bruce S. Lund source
zip		 17
SGF 2016 Finding the One: Using SAS Code and SAS Data Quality Server to Create a Matched Record Elena Shtern,
Kim Hare		 source 25
SGF 2016 Get Out of DATA Step Code and into Quality Knowledge Bases Brian Rineer source 14
SGF 2016 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng,
Justina M. Flavin,
Michael Wise		 source 20
SGF 2016 Lyric Complexity and Song Popularity: Analysis of Lyric Composition and Relation among Billboard Top 100 Songs John Harden,
Yang Gao,
Vojtech Hrdinka,
Chris Linn		 source 15
SGF 2016 Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager Jonathan Wexler,
Steve Sparano		 source 19
SGF 2016 Missing Values: They Are NOT Nothing Justin Jia,
Shan Shan Lin		 source 19
SGF 2016 Personal Lending: Customer Credit and Pricing Optimization Yuri Medvedev source 19
SGF 2016 Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS 9.4 and SAS Enterprise Miner 14.1 Quyen Nguyen source 12
SGF 2016 Predicting Human Activity Sensor Data Using an Auto Neural Model with Stepwise Logistic Regression Inputs Venkata Vennelakanti source
presentation		 10
SGF 2016 Predicting If Mental Health Facilities Will Offer Free Treatment to Patients Who Cannot Afford It Ram Poudel,
Lynn Xiang		 source 11
SGF 2016 Predicting Occurrence Rate of Systemic Lupus Erythematosus and Rheumatoid Arthritis in Pregnant Women Ravikrishna Vijaya Kumar,
Shrie Raam Sathyanarayanan		 source 15
SGF 2016 Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS Enterprise Miner 12.3 Mostakim Tanjil,
Goutam Chakraborty		 source
presentation		 12
SGF 2016 Proposing a Recommendation System for DonorsChoose.org Heramb Joshi,
Goutam Chakraborty,
Sandeep Chittoor,
Vignesh Dhanabal,
Sharat Dwibhasi		 source 21
SGF 2016 Real-Time Predictive Modeling of Key Quality Characteristics Using Regularized Regression: SAS Procedures GLMSELECT and LASSO Jon M. Lindenauer source 10
SGF 2016 Reducing Credit Union Member Attrition with Predictive Analytics Nathaniel Derby,
Mark Keintz		 source 15
SGF 2016 SAS Debugging 101 Kirk Paul Lafler source 13
SGF 2016 SAS Spontaneous Combustion: Securing Software Portability through Self-Extracting Code Troy Martin Hughes source 11
SGF 2016 Sparking Analytical Insight with SAS Data Loader for Hadoop Matthew Magne,
Scott Gidley		 source 7
SGF 2016 Streaming Decisions: How SAS Puts Streaming Data to Work Fiona McNeill,
David R. Duling,
Steve Sparano		 source
zip		 15
SGF 2016 Text Mining Secretary Clinton's Emails Michael Ames source 9
SGF 2016 Tips and Techniques for Using Site-Signed HTTPS with SAS 9.4 Stuart J. Rogers source 20
SGF 2016 Updating SAS/IntrNet Code Using SAS Visual Analytics, a PHP Interface, and SAS Stored Processes: Changes, Challenges, and Checklists Laura Simpson source 15
SGF 2016 Using SAS Geocoding as a Form of Field Interview Verification Chris Carson,
Lilia Filippenko,
Mai Nguyen		 source 12
SGF 2016 Using SAS Text Miner for Automatic Categorization of Blog Posts on a Social Networking Site Dedicated to Cyclists Heramb Joshi,
Goutam Chakraborty		 source 11
SGF 2016 What's New in SAS Federation Server 4.2 Tatyana Petrova source 13
SCSUG 2015 Validation Summary using SYSINFO Srinivas Vanam source 11
MWSUG 2015 A Property & Casualty Insurance Predictive Modeling Process in SAS Mei Najim 14
MWSUG 2015 Data Labs with SAS and Teradata: Value, Purpose and Best Practices Helen Fowler,
Tho H. Nguyen		 6
MWSUG 2015 Fitting and Evaluating Logistic Regression Models Bruce S. Lund 26
MWSUG 2015 Get the highest bangs for your marketing bucks using Incremental Response Models in SAS Enterprise Miner Delali Agbenyegah 8
MWSUG 2015 Introduction to SAS Data Loader: The Power of Data Transformation in Hadoop Keith Renison 7
MWSUG 2015 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2015 SAS Spontaneous Combustion: Securing Software Portability through Self-Extracting Code Troy Martin Hughes 9
MWSUG 2015 The Joinless Join ~ The Impossible Dream Come True; Expanding the Power of SAS Enterprise Guide in a New Way Kent Phelps,
Ronda Phelps		 37
MWSUG 2015 Using SAS Programs to Conduct Discriminate Analysis Mengyu Liu 6
PHUSE EU 2015 A Model for Reviewing the Operational Implementation of the CDISC Standards Andy Richardson source
presentation source		 7
PHUSE EU 2015 Automated generation of program templates with metadata based specification documents for integrated analysis Thomas Wollseifen source
presentation source		 11
PHUSE EU 2015 Best Practices in Managing a Global SAS Programming Team Yi Zhang source
presentation source		 5
PHUSE EU 2015 Clinical data to information, quick, standardised and validated with knowledge of proc FCMP Cathal Gallagher source
presentation source		 7
PHUSE EU 2015 CodEX - When Excel Meets SAS to Code Clinical Data Stéphane Chollet,
Cathy Scoupe		 source
presentation source		 8
PHUSE EU 2015 Concept and Implementation of an Efficient Version Control System for SAS Programs in Clinical Development Dirk Spruck,
Matthias Post		 source
presentation source		 8
PHUSE EU 2015 Data Governance - Keeping Control through a Well-defined Changes Request Process Gavin Winpenny source
presentation source		 9
PHUSE EU 2015 Dataset-XML - A New CDISC Standard for Data Exchange Julie A. Maddox,
Lex Jansen		 source
presentation source		 16
PHUSE EU 2015 Efficient Data Reviews and Quality in Clinical Trials Using CDISC Data Standards Valérie Nedbal source 11
PHUSE EU 2015 FDA Review Principles Applied to CRO Oversight Sascha Ahrweiler,
Grace Ignacio		 source
presentation source		 7
PHUSE EU 2015 From Data Management to Statistical Programming: A Real-Life Change Benjamin Lerbour source
presentation source		 5
PHUSE EU 2015 Improving CDISC SDTM Data Quality & Compliance Right from the Beginning Bharat Chaudhary,
Padamsimh Balekundri		 source
presentation source		 9
PHUSE EU 2015 Independent Double Programming - Are We Doing the Right Thing? [presentation] Beate Hientszch source 1
PHUSE EU 2015 Is R the Right Tool for Me? [presentation] Peter Bewerunge source 23
PHUSE EU 2015 Managing Data Standards Libraries Compliance (to CDISC) Deborah Paletta source
presentation source		 7
PHUSE EU 2015 Programming Strategically for PK/PD Data Grace Lu source
presentation source		 8
PHUSE EU 2015 Results-Level Metadata: What, How, and Why Frank C. DiIorio,
Jeffrey M. Abolafia		 source
presentation source		 11
PHUSE EU 2015 Statistical Analysis Reporting Tool (StART), From Concept to Table Production David M. Hartman source
presentation source		 11
PHUSE EU 2015 The Expanding Role of the Statistical Programmer Punitha Philip,
Minola Ilica		 source
presentation source		 4
PHUSE EU 2015 The Rewarding (and Rocky) Road from SAS Applications Programmer to SAS Software Developer Jeffrey M. Abolafia,
Carrie Dundas-Lucca		 source
presentation source		 8
PHUSE EU 2015 Using Graphics to Present the Study Result as a Story Shafi Chowdhury,
Rajwanur Rahmann		 source
presentation source		 10
SESUG 2015 Adaptive Fractional Polynomial Modeling in SAS George J. Knafl source 10
SESUG 2015 Count the number of delimiters in the input file Kannan Deivasigamani source 6
SESUG 2015 Data Labs with SAS and Teradata: Value, Purpose and Best Practices Bob Matsey source 6
SESUG 2015 Integrating PROC REG and PROC LOGISTIC for Collinearity Examination, Sample Scoring and Model Evaluation Alec Zhixiao Lin source 11
SESUG 2015 Introduction to SAS Data Loader: The Power of Data Transformation in Hadoop Keith Renison source 7
SESUG 2015 Population Stability and Model Performance Metrics Replication for Business Model at SunTrust Bank Population Stability source 6
SESUG 2015 Programming Compliance Made Easy with a Time Saving Toolbox Patricia Guldin source 9
SESUG 2015 Reducing Credit Union Member Attrition with Predictive Analytics Nathaniel Derby source 15
SESUG 2015 Reporting of treatment emergent adverse events based on pooled data Analysis or Country Specific Submissions: A case study Sheetal Shiralkar source 8
SESUG 2015 You've Got Mail: Automating SAS from an Email Peter P. Davis source 12
WUSS 2015 3N Validation to Validate PROC COMPARE Output Amarnath Vijayarangan source 6
WUSS 2015 A Risk Factor Coding Custom Report Created With ODS Report Writing Interface With Recent Literature and Peer Review Robert Springborn source 13
WUSS 2015 An Example of Discriminate Analysis in SAS using Seal Vocalization Data Mengyu Liu source 6
WUSS 2015 Application of Data Mining in Energy Industry: A Case Study of NOx Prediction Jongsawas Chongwatpol source 9
WUSS 2015 Data Labs with SAS and Teradata: Value, Purpose and Best Practices Tho H. Nguyen,
Bob Matsey,
Paul Segal		 source 6
WUSS 2015 How to Speed Up Your Validation Process Without Really Trying Alice M. Cheng source 23
WUSS 2015 Introduction to SAS Quantile Regression (PROC QuantSelect and PROC QuantReg ) Peter L. Flom source 25
WUSS 2015 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
WUSS 2015 Reducing Credit Union Member Attrition with Predictive Analytics Nathaniel Derby,
Mark Keintz		 source 15
WUSS 2015 SAS Spontaneous Combustion: Securing Software Portability through Self-Extracting Code Troy Martin Hughes source 9
WUSS 2015 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes source 15
WUSS 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Mary Federico Katz,
Jason R. Beene		 source 13
PharmaSUG CN 2015 How to validate clinical data more efficiently with SAS Clinical Standards Toolkit Vivian Feng 11
PharmaSUG CN 2015 Managing the analysis programming effort for an NDA submission Yu Cheng,
Quan Zhou		 8
PharmaSUG CN 2015 SAS End-to-End solutions in Clinical Trial Emma Liu 17
PharmaSUG CN 2015 SAS Tools for Working with Dataset-XML files Lex Jansen 18
PharmaSUG CN 2015 SDTM Electronic Submissions to FDA: Guidelines and Best Practices Christina Chang,
Kyle Chang		 6
PharmaSUG CN 2015 Statistics And Programming In The Globally Evolving Landscape Of Clinical Trial Registration And Results (CTRR) Disclosure Paul Ngai,
Joyce Hauze		 8
PharmaSUG CN 2015 Tips for efficient CDISC eCRT production Lanting Li,
Yu Zhu,
Yuejuan Meng,
Huan Zhu		 11
PharmaSUG 2015 ADDL Model for Device Analysis Priya Gopal source 6
PharmaSUG 2015 Begin with the End in Mind - Using FDA Guidance Documents as Guideposts when Planning, Delivering and Archiving Clinical Trials David C. Izard source 12
PharmaSUG 2015 Defensive Coding by Example: Kick the Tires, Pump the Breaks, Check Your Blind Spots, and Merge Ahead! Nancy Brucken,
Donna E. Levy		 source 16
PharmaSUG 2015 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 source 7
PharmaSUG 2015 Getting Rid of Bloated Data in FDA Submissions Ben E. Bocchicchio,
Frank L. Roediger		 source 8
PharmaSUG 2015 Growing Needs in Drug Industry for NONMEM Programmers Using SAS Sharmeen Reza source 11
PharmaSUG 2015 Improving Data Quality - Missing Data Can Be Your Friend! Julie Chen source 12
PharmaSUG 2015 Japanese submission/approval processes from programming perspective Ryan Hara source 7
PharmaSUG 2015 Managing Custom Data Standards in SAS Clinical Data Integration Melissa R. Martinez source 17
PharmaSUG 2015 Means Comparisons and No Hard Coding of Your Coefficient Vector - It Really Is Possible! Frank J. Tedesco source 8
PharmaSUG 2015 Now You See It, Now You Don't - Using SAS to De-Identify Data to Support Clinical Trial Data Transparency David Handelsman source 7
PharmaSUG 2015 SAS Tools for Working with Dataset-XML files Lex Jansen source 18
PharmaSUG 2015 Statistical Review and Validation of Patient Narratives Indrani Sarkar,
Bradford J. Danner		 source 5
PharmaSUG 2015 Subset without Upsets: Concepts and Techniques to Subset SDTM Data Jhelum Naik,
Sajeet Pavate		 source 6
PharmaSUG 2015 Team-work and Forensic Programming: Essential Foundations of Indestructible Projects Brian P. Fairfield-Carter source 14
PharmaSUG 2015 The 5 Most Important Clinical SAS Programming Validation Steps Brian C. Shilling source 6
PharmaSUG 2015 The Best Practices of CDISC ADaM Validation Checks: Past, Present, and Future Shelley Dunn,
Ed Lombardi		 source 9
PharmaSUG 2015 The Disposition Table: Make it Easy Endri Endri,
Benedikt Trenggono		 source 10
PharmaSUG 2015 The Most Common Issues in Submission Data Sergiy Sirichenko,
Max Kanevsky		 source 9
PharmaSUG 2015 Toward Adoption of Agile Software Development in Clinical Trials Troy Martin Hughes source 7
PharmaSUG 2015 Usage of OpenCDISC Community Toolset 2.0 for Clinical Programmers Sergiy Sirichenko,
Michael DiGiantomasso,
Travis Collopy		 source 19
PharmaSUG 2015 Using SAS Clinical Data Integration to Roundtrip a Complete Study Study Metadata (Define-XML) and Study Data (Dataset-XML) Ken Ellis source 19
SGF 2015 Addressing AML Regulatory Pressures by Creating Customer Risk Rating Models with Ordinal Logistic Regression Edwin Rivera,
Jim West		 source 12
SGF 2015 An Innovative Method of Customer Clustering Brian Borchers,
Ashlie Ossege		 source 6
SGF 2015 Analyzing and Visualizing the Sentiment of the Ebola Outbreak via Tweets Dheeraj Jami,
Goutam Chakraborty,
Shivkanth Lanka		 source 11
SGF 2015 Analyzing Direct Marketing Campaign Performance Using Weight of Evidence Coding and Information Value through SAS Enterprise Miner Incremental Response Sravan Vadigepalli source
zip		 9
SGF 2015 Best Practices for Upgrading from SAS 9.1.3 to SAS 9.4 David Stern source 20
SGF 2015 Credit Card Holders' Behavior Modeling: Transition Probability Prediction with Multinomial and Conditional Logistic Regression in SAS/STAT Denys Osipenko,
Jonathan Crook		 source 13
SGF 2015 Credit Scorecard Generation Using the Credit Scoring Node in SAS Enterprise Miner [presentation] Ayush Priyadarshi,
Kushal Kathed,
Shilpi Prasad		 source 3
SGF 2015 Data Management Techniques for Complex Healthcare Data Gabriela Cantu,
Christopher Klekar		 source 14
SGF 2015 Data Quality Scorecard Tom Purvis source
zip		 16
SGF 2015 Data Sampling Improvement by Developing the SMOTE Technique in SAS Lina Maria Guzman Cartagena source 9
SGF 2015 DATU - Data Automated Transfer Utility: A Program to Migrate Files from Mainframe to Windows Jim Brittain,
Robert Schwartz		 source 8
SGF 2015 Defensive Coding by Example: Kick the Tires, Pump the Breaks, Check Your Blind Spots, and Merge Ahead! Donna E. Levy,
Nancy Brucken		 source 17
SGF 2015 Donor Sentiment and Characteristic Analysis Using SAS Enterprise Miner and SAS Sentiment Analysis Studio Ramcharan Kakarla,
Goutam Chakraborty		 source 12
SGF 2015 Dynamic Decision-Making Web Services Using SAS Stored Processes and SAS Business Rules Manager Lori Small,
Chris Upton		 source 16
SGF 2015 From ETL to ETL VCM: Ensure the Success of a Data Migration Project through a Flexible Data Quality Framework Using SAS Data Management Yves Wouters,
Valérie Witters		 source 10
SGF 2015 Garbage In, Gourmet Out: How to Leverage the Power of the SAS Quality Knowledge Base Brian Rineer source 15
SGF 2015 Gross Margin Percent Prediction: Using the Power of SAS Enterprise Miner 12.3 to Predict the Gross Margin Percent for a Steel Manufacturing Company [presentation] Kushal Kathed,
Patti Jordan,
Ayush Priyadarshi		 source 3
SGF 2015 How to Implement Two-Phase Regression Analysis to Predict Profitable Revenue Units [presentation] Shrey Tandon source 15
SGF 2015 Improving the Performance of Two-Stage Modeling Using the Association Node of SAS Enterprise Miner 12.3 Girish Shirodkar,
Goutam Chakraborty,
Ankita Chaudhari		 source 9
SGF 2015 Integrating Data and Business Rules with a Control Data Set in SAS Edmond Cheng source 11
SGF 2015 Introduction to SAS Data Loader: The Power of Data Transformation in Hadoop Keith Renison source 7
SGF 2015 Lasso Regularization for Generalized Linear Models in Base SAS Using Cyclical Coordinate Descent Robert Feyerharm source 10
SGF 2015 Latest and Greatest: Best Practices for Migrating to SAS 9.4 Alec S. Fernandez source 15
SGF 2015 Master Data and Command Results: Combine Master Data Management with SAS Analytics for Improved Insights Ron Agresta source 6
SGF 2015 Modeling to Improve the Customer Unit Target Selection for Inspections of Commercial Losses in the Brazilian Electric Sector: The case of CEMIG Sergio Henrique Ribeiro,
Iguatinan Monteiro		 source 7
SGF 2015 Multinomial Logistic Model for Long-Term Value Bruce S. Lund source 16
SGF 2015 Next Generation: Using SAS Decision Manager to Modernize and Improve Your Operational Decisions Steve Sparano source 20
SGF 2015 Now That You Have Your Data in Hadoop, How Are You Staging Your Analytical Base Tables? Steven Sober,
Donna De Capite		 source 10
SGF 2015 Predicting Readmission of Diabetic Patients Using the High-Performance Support Vector Machine Algorithm of SAS Enterprise Miner 13.1 Hephzibah Munnangi,
Goutam Chakraborty		 source 10
SGF 2015 Predicting Transformer Lifetime Using Survival Analysis and Modeling Risk Associated with Overloaded Transformers Using SAS Enterprise Miner 12.1 Balamurugan Mohan,
Goutam Chakraborty		 source 18
SGF 2015 Reports That Make Decisions: SAS Visual Analytics Arun Sugumar,
Vimal Raj		 source 6
SGF 2015 SAS Analytics plus Warren Buffett's Wisdom Beats Berkshire Hathaway! Huh? Bruce Bedford source 20
SGF 2015 SAS and Hadoop. 4th Annual State of the Union [presentation] Paul Kent source 70
SGF 2015 SAS Data Management: Technology Options for Ensuring a Quality Journey Through the Data Management Process Mark Craver source 12
SGF 2015 SAS Does Data Science: How to Succeed in a Data Science Competition Patrick Hall source
zip		 11
SGF 2015 SAS Formats Top Ten Christianna S. Williams source 18
SGF 2015 SAS Visual Analytics: The Value in Leveraging Your Preexisting Data Sets Shaun Kaufmann source 6
SGF 2015 Show Me the Money! Text Analytics for Decision-Making in Government Spending Tom Sabo source 13
SGF 2015 Stress Testing for Mid-Sized Banks Charyn Faenza source 11
SGF 2015 Text Mining Kaiser Permanente Member Complaints with SAS Enterprise Miner [presentation] Amanda Pasch source 5
SGF 2015 The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT Denys Osipenko,
Jonathan Crook		 source 19
SGF 2015 The SAS Transformation Project--Deploying SAS Customer Intelligence for a Single View of the Customer Ronak Shah,
Minza Zahid		 source 7
SGF 2015 Time Series Modeling and Forecasting--An Application to Stress-Test Banks Ania Supady source 13
SGF 2015 Understanding Patterns in the Utilization and Costs of Elbow Reconstruction Surgeries: A Healthcare Procedure that is Common among Baseball Pitchers Jeff Dang source
zip		 8
SGF 2015 Using SAS Enterprise Miner to Predict Breast Cancer at an Early Stage Gibson Ikoro,
Beatriz de la Iglesia		 source 9
SGF 2015 Using SAS to Combine Regression and Time Series Analysis on U.S. Financial Data to Predict the Economic Downturn Avinash Kalwani,
Nishant Vyas		 source 6
SGF 2015 Using SAS to Increase Profitability through Cluster Analysis and Simplicity: Follow the Money [presentation] Sherrie Rodriguez source 9
SGF 2015 Using Text from Repair Tickets of a Truck Manufacturing Company to Predict Factors that Contribute to Truck Downtime Ayush Priyadarshi,
Goutam Chakraborty		 source 9
SGF 2015 Validation and Monitoring of PD Models for Low Default Portfolios Using PROC MCMC Machiel Kruger source 16
SGF 2015 Want an Early Picture of the Data Quality Status of Your Analysis Data? SAS Visual Analytics Shows You How Gerhard Svolba source
zip		 19
SGF 2015 What's New in SAS Data Management Nancy A. Rausch,
Mike Frost		 source 18
SGF 2015 When Two Are Better Than One: Fitting Two-Part Models Using SAS Laura Kapitula source 9
SGF 2015 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes source 17
SGF 2015 Will You Smell Smoke When Your Data Is on Fire? The SAS Smoke Detector: A Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes source 25
SGF 2015 You Say 'Day-ta', I Say 'Dat-a' - Measuring Coding Differences, Considering Integrity and Transferring Data Quickly Jason R. Beene,
Mary Federico Katz		 source 14
SCSUG 2014 SAS Debugging 101 Kirk Paul Lafler 13
SESUG 2014 DFAST & CCAR: One size does not fit all Charyn Faenza source 9
SESUG 2014 SAS Debugging 101 Kirk Paul Lafler source 13
SESUG 2014 VIF Regression: A SAS Application to Feature Selection in Large Data Sets Ruiwen Zhang 5
PHUSE EU 2014 ADaM Conversions: The Good, The Bad and The Ugly Carla Santillán,
Jessica Minuke		 source
presentation source		 11
PHUSE EU 2014 Agile Project Management in a Regulated Environment Alistair Dootson,
Amol Waykar		 source 5
PHUSE EU 2014 Considerations in Creating Transparent SDTM-Based Datasets Jerry Salyers,
Richard Lewis		 source
presentation source		 8
PHUSE EU 2014 Data Challenges in Adaptive Trials Claudio Garutti source
presentation source		 5
PHUSE EU 2014 Define your Own SAS Functions for Date and Numeric Validation using PROC FCMP Jason Smith source
presentation source		 5
PHUSE EU 2014 Discover Define-XML Mark Wheeldon,
Kevin Burges		 source
presentation source		 12
PHUSE EU 2014 From ODM to SDTM: An End-to-End Approach Applied to Phase I Clinical Trials Alexandre Mathis source
presentation source		 5
PHUSE EU 2014 How to Validate a SAS Macro - A Case Study Edwin Ponraj Thangarajan,
Giri Balasubramanian		 source
presentation source		 1
PHUSE EU 2014 Learnings and Evolutions of Risk Assessment Quality Control within Statistical Programming Group Timothy Barnett source
presentation source		 5
PHUSE EU 2014 Leveraging R And Shiny for Point and Click ADaM Analysis [presentation] Ian Fleming source 10
PHUSE EU 2014 Life as a New Programmer Jeremy Gallien source
presentation source		 3
PHUSE EU 2014 Looking for SDTM Migration Specialist Angelo Tinazzi source
presentation source		 12
PHUSE EU 2014 Monitoring Clinical Trials with a SAS Risk-Based Approach Laurie Rose source
presentation source		 9
PHUSE EU 2014 My Transition From Placement Student to Permanent Employee Within the Same Company Robyn Rosser source
presentation source		 4
PHUSE EU 2014 Patchwork - A Creative Approach to Revise Existing Validation Methods Anja Feuerbacher source
presentation source		 5
PHUSE EU 2014 R and Revolution R Enterprise in Regulatory Environments Eike Nicklas,
Neil Miller		 source
presentation source		 4
PHUSE EU 2014 Reengineering a Standard Process form Single to Environment Macro Management Guiseppe Di Monaco source
presentation source		 10
PHUSE EU 2014 Risk based monitoring using integrated clinical development platform Authors Sita Rama Swamy Peddiboyina,
Shailesh Vijay Joshi		 source
presentation source		 9
PHUSE EU 2014 SDTM Mapping Becomes more EASY with SAS Clinical Data Integration Saumilkumar Tripathi source
presentation source		 8
PHUSE EU 2014 Signal Detection of Misconduct in Clinical Trials Geoffrey A. Mann,
Richard C. Zink		 source
presentation source		 7
PHUSE EU 2014 Standards Driven Innovation [presentation] Frederik Malfait source 36
PHUSE EU 2014 Submitting Summary Level Site Data: Overview, Implementation and Case Studies Robert F. Woolson,
Jeffrey M. Abolafia,
Ben Vaughn		 source
presentation source		 9
PHUSE EU 2014 Successfully Embracing Challenges to CDISC Standards [presentation] Elke Sennewald source 30
PHUSE EU 2014 Using CDISC Validation Tools in a Validated Hosted Environment Sandeep Juneja source
presentation source		 5
MWSUG 2014 Analyzing Collection Effectiveness using Incremental Response Modeling Ryan Burton 7
MWSUG 2014 Documentation Driven Programming: How Orienting Your Projects Around Their Data Leads to Quicker Development and Better Results Marcus Maher,
Joe Matise		 24
MWSUG 2014 Investigating the Irregular: Using Perl Regular Expressions Peter W. Eberhardt 18
MWSUG 2014 Measuring Product-level Promotional Effectiveness using Multiple Linear Regression Aaron Clark,
Cory Weinmann,
Donald Kirk		 10
MWSUG 2014 SAS Debugging 101 Kirk Paul Lafler 13
MWSUG 2014 The Joinless Join; Expand the Power of SAS Enterprise Guide in a New Way Kent Phelps,
Ronda Phelps,
Kirk Paul Lafler		 37
MWSUG 2014 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes 14
MWSUG 2014 Will You Smell Smoke When Your Data Are on Fire? The SAS Smoke Detector: Installing a Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes 25
PharmaSUG CN 2014 Building a Partnership: Constructing a global team between a US Sponsor and a Chinese CRO Jeanina M. Worden 8
PharmaSUG CN 2014 From Coal Mining to Data Mining: Advancing Programming Management for Clinical Projects with Text Analytics Zhouming Sun 10
PharmaSUG CN 2014 Submission of Pharmacokinetics (PK) Data in a CDISC Compliant Format Yu Zhu 9
WUSS 2014 %ICD: Using Hash Objects to Separate Records Coded in ICD-9-CM from Records Coded in ICD-10-CM Eduard Poltavskiy source 7
WUSS 2014 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 8
WUSS 2014 Efficient Cut-point Estimation and Validation using PROC PHREG Alan Mitchell source 7
WUSS 2014 SAS and Teradata: Innovators and Leaders for Big Data Analytics Tho H. Nguyen,
John Cunningham		 source 4
WUSS 2014 SAS Debugging 101 Kirk Paul Lafler source 13
WUSS 2014 TLF Validation Etiquette:What to Say, When to Say, How to Say, Why to Say Karen Walker source 10
WUSS 2014 When Software Development is Your Means Not Your End: Abstracting Agile Methodologies for End-User Development and Analytic Application Troy Martin Hughes source 17
PharmaSUG 2014 Adopted Changes for SDTMIG v3.1.3 and 2013 OpenCDISC Upgrades Yi Liu,
Stephen Read		 source 17
PharmaSUG 2014 An Overview of REDCap, a secure web-based application for Electronic Data Capture Kevin R. Viel source 14
PharmaSUG 2014 Automated Validation - Really? Sneha Sarmukadam,
Seeja Shetty		 source 5
PharmaSUG 2014 CDISC Electronic Submission Kevin Lee source 6
PharmaSUG 2014 Challenges in Moving to a Multi-tier Server Platform Carey G. Smoak source 5
PharmaSUG 2014 Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS Karin LaPann,
Terek J. Peterson		 source 20
PharmaSUG 2014 Clinical Trial Data Integration: The Strategy, Benefits, and Logistics of Integrating Across a Compound Natalie Reynolds,
Keith Hibbetts		 source 12
PharmaSUG 2014 Cover the Basics, Tool for structuring data checking with SAS Ole Zester source 10
PharmaSUG 2014 Creating Define-XML version 2 with the SAS Clinical Standards Toolkit 1.6 Lex Jansen source 33
PharmaSUG 2014 Discover Define-XML Mark Wheeldon,
Kevin Burges		 source 12
PharmaSUG 2014 Effective Use of Metadata in Analysis Reporting Jeffrey M. Abolafia source 9
PharmaSUG 2014 Healthcare Data Manipulation and Analytics Using SAS Lumin Shen,
Jane Lu		 source 11
PharmaSUG 2014 Investigating the Irregular: Using Perl Regular Expressions Peter W. Eberhardt source 18
PharmaSUG 2014 Let SAS Improve Your CDISC Data Quality Wayne (Weizhen) Zhong source 12
PharmaSUG 2014 MACUMBA - The log belongs to the program Michael Weiss source 8
PharmaSUG 2014 Monitoring Quality, Time and Costs of Clinical Trial Programming Projects using SAS Jagan Mohan Achi source 4
PharmaSUG 2014 OpenCDISC Validator Implementation: A Complex Multiple Stakeholder Process Terek J. Peterson,
Gareth Adams		 source 9
PharmaSUG 2014 Process and Tools for Assessing Compliance with Standard Operating Procedures Ginger Redner,
Eunice Ndungu		 source 10
PharmaSUG 2014 Quickly Organize Statistical Output for Review Bradford J. Danner source 4
PharmaSUG 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink,
Kelci J. Miclaus		 source 15
PharmaSUG 2014 SAS as a Tool to Manage Growing SDTM+ Repository for Medical Device Studies Julia Yang source 12
PharmaSUG 2014 SDTM, ADaM and define.xml with OpenCDISC Angela S. Ringelberg,
Tracy Sherman		 source 21
PharmaSUG 2014 Strategies and Techniques for Debugging SAS Program Errors and Warnings Kirk Paul Lafler source 13
PharmaSUG 2014 The New Tradition: SAS Clinical Data Integration Vincent J. Amoruccio,
Janet E. Stuelpner		 source 18
PharmaSUG 2014 Tips for Creating SAS-Based Applications for Oracle Clinical Kunal Agnihotri,
Kenneth W. Borowiak		 source 6
PharmaSUG 2014 Tips for Finding Your Bugs Before QC Does Beatriz Garcia source 6
PharmaSUG 2014 TLF Validation Etiquette:What to Say, When to Say, How to Say, Why to Say Karen Walker source 10
PharmaSUG 2014 Validating Analysis Data Set without Double Programming - An Alternative Way to Validate the Analysis Data Set Linfeng Xu,
Christina Scienski		 source 15
SGF 2014 A Risk Score Calculator for Short-Term Morbidity Following Hip Fracture Surgery Yubo Gao source 5
SGF 2014 A Way to Fetch User Reviews from iTunes Using SAS [presentation] Jiawen Liu,
Mantosh Kumar Sarkar,
Meizi Jin,
Goutam Chakraborty		 source 3
SGF 2014 Adding the Power of DataFlux to SAS Programs Using the DQMATCH Function Pat Taylor,
Lee Branum-Martin		 source 6
SGF 2014 Advanced Security Configuration Options for SAS 9.4 Web Applications and Mobile Devices Heesun Park source 8
SGF 2014 An Overview of Machine Learning with SAS Enterprise Miner Patrick Hall,
Jared Dean,
Ilknur Kaynar Kabul,
Jorge Silva		 source
zip		 24
SGF 2014 Automatic Detection of Section Membership for SAS Conference Paper Abstract Submissions: A Case Study Goutam Chakraborty,
Murali Krishna Pagolu		 source 13
SGF 2014 Big Data/Metadata Governance Sigurd W. Hermansen source 9
SGF 2014 Big Digital Data, Analytic Visualization, and the Opportunity of Digital Intelligence Suneel Grover source 17
SGF 2014 Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide Yang Ge source 10
SGF 2014 Challenges of Processing Questionnaire Data from Collection to SDTM to ADaM and Solutions Using SAS Karin LaPann,
Terek J. Peterson		 source 19
SGF 2014 Clustering and Predictive Modeling of Patient Discharge Records with SAS Enterprise Miner Linda Schumacher,
Goutam Chakraborty		 source 9
SGF 2014 Converting Clinical Database to SDTM: The SAS Implementation Hong Chen source 5
SGF 2014 Data Quality Governance for Analytics Teams [presentation] Anand Jagarapu source 2
SGF 2014 Dining with the Data: The Case of New York City and Its Restaurants Pruthvi Bhupathiraju Venkata,
Goutam Chakraborty		 source 7
SGF 2014 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 source 7
SGF 2014 Embedding Critical Content in an E-mail Message Body [presentation] Amy Swartz source 5
SGF 2014 I Want the Latest and Greatest! The Top Five Things You Need to Know about Migration Josh Hames,
Gerry Nelson		 source 17
SGF 2014 Internet Gambling Behavioral Markers: Using the Power of SAS Enterprise Miner 12.1 to Predict High-Risk Internet Gamblers Sai Vijay Kishore Movva,
Vandana Reddy,
Goutam Chakraborty		 source 11
SGF 2014 Managing Opt-Out Risk Jia Lei source 4
SGF 2014 Managing the Data Governance Lifecyle Scott Gidley source 7
SGF 2014 Medical Scoring for Breast Cancer Recurrence Nurul Husna Jamian,
Yap Bee Wah,
Nor Aina Emran		 source 13
SGF 2014 NIHB Pharmacy Surveillance System Jeffrey Menzies,
Ian Ghent		 source 9
SGF 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink source 14
SGF 2014 SAS Data Mining for Predictor Identification: Developing Strategies for High School Dropout Prevention Wendy B. Dickinson,
Morgan C. Wang		 source 9
SGF 2014 SAS Installations: So you want to install SAS? Rafi Sheikh source 9
SGF 2014 SAS Predictive Asset Maintenance: Find Out Why Before It's Too Late! George S. Habek source 19
SGF 2014 Text Mining Economic Topic Sentiment for Time Series Modeling Michael P. Dessauer,
Justin Kauhl		 source 14
SGF 2014 The Role of Customer Response Models in Customer Solicitation Center's Direct Marketing Campaign Arun Mandapaka,
Amit Kushwah,
Goutam Chakraborty		 source 12
SGF 2014 Using SAS Enterprise Miner to Predict the Injury Risk Involved in Car Accidents Prateek Khare,
Vandana Reddy,
Goutam Chakraborty		 source 7
SGF 2014 Using SAS to Get More for Less Faron Kincheloe source 5
SGF 2014 Washing the Elephant: Cleansing Big Data Without Getting Trampled Mike Frost source 8
SGF 2014 What's New in SAS Data Management Nancy A. Rausch,
Mike Frost,
Michael Ames		 source 15
SGF 2014 What's New in SAS Enterprise Miner 13.1 Jared Dean,
Jonathan Wexler		 source 16
WUSS 2013 Building a Controlled Statistical Programming Environment Wayne F. Woo source 10
WUSS 2013 Challenges in Moving to a Multi-tier Server Platform Carey G. Smoak source 5
WUSS 2013 Cross Platform migration of SAS BI Environment: Tips and Tricks Amol Deshmukh source 8
WUSS 2013 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 8
WUSS 2013 Generation of Subset Listings William Coar source 13
WUSS 2013 Optimism of Best Subset Selection by AIC/BIC for Prognostic Model Building Yinghui Miao,
Irena Stijacic Cenzer,
Katharine Kirby,
W. John Boscardin		 source 13
SCSUG 2013 Best Practices in Enterprise Data Governance Scott Gidley source 9
SCSUG 2013 Macro utility to compare multiple SAS datasets Krish Krishnan source 8
SCSUG 2013 Strategies and Techniques for Debugging SAS Program Errors and Warnings Kirk Paul Lafler source 13
SESUG 2013 A Novel Approach to Code Generation for Data Validation and Editing using Excel and SAS Mai Nguyen,
Katherine Mason,
Shane Trahan		 source 9
SESUG 2013 Analytical Approach for Bot Cheating Detection in a Massive Multiplayer Online Racing Game Andrea Villanes source 10
SESUG 2013 Binning Bombs When You're Not a Bomb Maker: A Code-Free Methodology to Standardize, Categorize, and Denormalize Categorical Data Binning Bombs source 26
SESUG 2013 Coding For the Long Haul With Managed Metadata and Process Parameters Mike Molter source 20
SESUG 2013 Data Entry in SAS Strategy Management A New, Better User (and Manager) Experience David Shubert source 20
SESUG 2013 Evaluating the Accuracy Assessment Methods of a Thematic Raster through SAS Resampling Techniques and GTL Visualizations Robert Seffrin source 7
SESUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
SESUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
SESUG 2013 Introducing the New ADAPTIVEREG Procedure for Adaptive Regression Warren F,
Weijie Cai		 source 21
SESUG 2013 Looking for an Event in a Haystack? Maya Barton source 7
SESUG 2013 The Baker Street Irregulars Investigate: Perl Regular Expressions and CDISC Peter W. Eberhardt source 18
SESUG 2013 The BEST. Message in the SASLOG Andrew T. Kuligowski source 4
SESUG 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Satish Garla source 15
PHUSE EU 2013 A Guide to Deploying Subversion for Version Control of SAS Programs in the Pharmaceutical Industry Tim P. Williams source
presentation source		 10
PHUSE EU 2013 ADaM Datasets - Standard and Submission Ready Karin Fleischer Steffensen source
presentation source		 6
PHUSE EU 2013 ADaM Standards - Organising the Unorganised Heike Reichert source
presentation source		 7
PHUSE EU 2013 An Integrated Platform for Standards Management and Study Conduct - Managing Efficiently your Standards [presentation] Ine Felsenstein,
Jasmine Kestemont		 source 29
PHUSE EU 2013 Anatomy of an Epidemiology Study Paul Murray source
presentation source		 12
PHUSE EU 2013 Are We Really Doing Independent Validation of Statistician Procedures in SAS? [presentation] Sameer Bamnote source 49
PHUSE EU 2013 Developing an Integrated Platform, Getting the Best out of Several Technologies [presentation] Jean-Marc Ferran,
Bart Van Win		 source 23
PHUSE EU 2013 EDC Integration [presentation] Rob Jongen source 21
PHUSE EU 2013 Interpretation of the Output from the OpenCDISC Checker Joergen Iversen source
presentation source		 5
PHUSE EU 2013 Interpreting CDISC ADaM IG Through Users Interpretation Angelo Tinazzi source
presentation source		 12
PHUSE EU 2013 Macro to Conduct Consistency Checks [presentation] Johanna Gaignard,
Walter H. Hufford Jr.		 source 10
PHUSE EU 2013 Mission Possible: Your Assignment is to Validate Output for a Study Susan Fehrer Coulson source
presentation source		 7
PHUSE EU 2013 ProjectTrackItL Automate your Project using SAS Abhishek Bakshi source
presentation source		 9
PHUSE EU 2013 Reporting on Oracle Clinical by JReview Fleury Randrianarivo source
presentation source		 2
PHUSE EU 2013 Spotfire for Statisticians and Statistical Programmers [presentation] Alistair Dootson,
Mark Demesmaeker		 source 17
PHUSE EU 2013 Standards for the Management of Clinical Trial Data, Why are they Needed, What is Needed? Isabelle Abousahl source
presentation source		 11
PHUSE EU 2013 The Missing Link: Results Level Metadata Jeffrey M. Abolafia source
presentation source		 9
PHUSE EU 2013 Time Travel for Librarians: Versioning Complex Library Metadata for Past, Present or Future Retrieval Nico De Leeuw,
Ine Felsenstein		 source
presentation source		 12
PHUSE EU 2013 Utilising Data Warehousing to Validate Clinical Trial Projects and to Select and Recruit Patients [presentation] Tim Armitage source 39
MWSUG 2013 Data Quality Governance for Data Sourcing and Data Analytics Team Anand Kumar 3
MWSUG 2013 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 7
MWSUG 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey 16
MWSUG 2013 Introduction to REDCap for Clinical Data Collection Shannon M. Morrison 17
MWSUG 2013 SAS Enterprise Guide - Implementation Hints and Techniques for Insuring Success with Traditional SAS Programmers Roger D. Muller 9
MWSUG 2013 The Joinless Join; Expand the Power of SAS Enterprise Guide in a New Way Kent Phelps,
Ronda Phelps,
Kirk Paul Lafler		 25
MWSUG 2013 Using SAS in Clinical Programming Project Management from Excel Spreadsheets Jean Crain 13
NESUG 2013 An Animated Guide: An Introduction to Neural Nets: Russell M. Lavery 12
NESUG 2013 Automating Validation of Define.xml using SAS Prafulla Girase,
Robert Agostinelli		 8
NESUG 2013 Measuring Internal Consistency of Community Engagement using the ALPHA option of PROC CORR Renee Gennarelli,
Melody S. Goodman		 7
NESUG 2013 Navigating the Data Universe Aboard the Starship Enterprise Guide Jayanth Iyengar,
Kirk Paul Lafler		 10
NESUG 2013 Pooling strategy for clinical data Abraham Yeh,
ShinRu Wang,
Xiaohong Zhang		 11
NESUG 2013 Use of SAS for Clinical Trial Management and Risk-Based Monitoring of Multicenter Clinical Trial Data from Electronic Data Capture Tools Bob Hall,
David Gagnon		 14
NESUG 2013 Using SAS Metadata as a Key Performance Indicator! Vincent J. Amoruccio 11
PharmaSUG 2013 A Simple Approach to the Automated Unit Testing of Clinical SAS Macros Matthew Nizol source 12
PharmaSUG 2013 Automated Validation of Third Party Data Imports Pranav Soanker source 7
PharmaSUG 2013 Automating Validation of Define.xml using SAS Prafulla Girase,
Robert Agostinelli		 source 8
PharmaSUG 2013 Coding For the Long Haul With Managed Metadata and Process Parameters Mike Molter source 20
PharmaSUG 2013 DataSetBuilder - An Application for Creating Edit Check Test Cases within SAS Data Sets by Non-Programmers Richard Addy source 9
PharmaSUG 2013 Don't Get Blindsided by PROC COMPARE Joshua M. Horstman,
Roger D. Muller		 source 5
PharmaSUG 2013 Due (Data) Diligence: Study Data Review for Acquisitions Adam Young,
Steven R. Kirby		 source 6
PharmaSUG 2013 Effective Independent Validation: Tips to Improve the Independent Validation Process Daniel Butner,
Brandon Graham		 source 6
PharmaSUG 2013 Efficient Statistical Review Using the ExcelXP Tagset Bradford J. Danner source 5
PharmaSUG 2013 If 'standard code' is so great ... Brian P. Fairfield-Carter source 12
PharmaSUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
PharmaSUG 2013 Is Your Data Set Really Validated: Beware of "Blind-Fold" Validation Nehan Mohan,
Gayatri Karkera		 source 4
PharmaSUG 2013 Just Press the Button: Generation of SAS Code to Create Analysis Datasets directly from an SAP - Can it be Done? Endri Endri,
Rowland Hale		 source 8
PharmaSUG 2013 LST in Comparison Sanket Kale,
Sajin Johnny		 source 11
PharmaSUG 2013 Map Metadata - Going Beyond the Obvious/Connecting the Dots Gregory C. Steffens,
Praveen Garg		 source 8
PharmaSUG 2013 Mission Possible: Your Assignment is to Validate Output for a Study Susan Fehrer Coulson,
Kevin R. Coulson		 source 7
PharmaSUG 2013 OpenCDISC: Beyond Point and Click Frank C. DiIorio source 12
PharmaSUG 2013 Programming Validation Tips prior to using OpenCDISC validator Dany Guerendo source 12
PharmaSUG 2013 Running OpenCDISC in SAS Kevin Lee source 7
PharmaSUG 2013 SAS Enterprise Guide - Implementation Hints and Techniques for Insuring Success With Traditional SAS Programmers in a Pharmaceutical Development Role Roger D. Muller source 9
PharmaSUG 2013 SDTM, ADaM and define.xml with OpenCDISC Angela S. Ringelberg,
Tracy Sherman		 source 16
PharmaSUG 2013 Some Strategies for Validating Your Data before Submission Frank L. Roediger,
Sandeep Juneja		 source 8
PharmaSUG 2013 Standardizing the Standards: A Road Map for Establishing, Implementing and Unifying Standards in Your Organization Amy Caison,
Jhelum Naik,
Tammy Jackson		 source 9
PharmaSUG 2013 Statistical Computing Environment Implementation - An Agile Approach Gary Cozzolino source 9
PharmaSUG 2013 The Baker Street Irregulars Investigate: Perl Regular Expressions and CDISC Peter W. Eberhardt,
Wei (Wesley) Liu		 source 18
PharmaSUG 2013 Using the SAS Clinical Standards Toolkit 1.5 to Import CDISC ODM Files Lex Jansen source 28
PharmaSUG 2013 Using Workflows and Metadata Information to Standardize Business Processes in Pharmaceutical Programming Peng Yang,
Wei Liu,
Julie A. Maddox		 source 9
SGF 2013 A Flexible Method to Apply Multiple Imputation Using SAS/IML Studio Lisa M. Lix,
Xue Yao		 source
pdf		 9
SGF 2013 A Metadata-Driven Programming Technique Using SAS Xiyun Wang source 14
SGF 2013 An Innovative Approach to Integrating SAS Macros with GIS Software Products to Produce County-Level Accuracy Assessments. Audra Zakzeski,
Robert Seffrin		 source 8
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
SGF 2013 Best Practices for Deploying Your SAS Applications in a High-Availability Cluster Helen Pan source 8
SGF 2013 Best Practices in Enterprise Data Governance Nancy A. Rausch,
Scott Gidley		 source 9
SGF 2013 Best Practices in SAS Data Management for Big Data Malcolm Alexander,
Nancy A. Rausch		 source 13
SGF 2013 Bridging the Gap Between SAS Applications Developed by Business Units and Conventional IT Production Euwell Bankston,
Thomas E. Billings		 source 10
SGF 2013 Data Entry in SAS Strategy Management A New, Better User (and Manager) Experience David Shubert source 20
SGF 2013 Data Fitness: A SAS Macro-based Application for Data Quality of Large Health Administrative Data Mahmoud Azimaee source 12
SGF 2013 Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples Irena Stijacic Cenzer,
W. John Boscardin,
Katharine Kirby,
Yinghui Miao		 source 12
SGF 2013 Extending the Power of Base SAS with Microsoft Excel Shilpa Khambhati source
pdf		 8
SGF 2013 Extraction, Transformation, and Loading (ETL) for Outcome Measures of Workers? Compensation Benefits Mike Maier source 10
SGF 2013 Feature Extraction and Rating of a Smartphone Photosharing Application Using SAS Sentiment Analysis Studio Anil Kumar Pantangi,
Goutam Chakraborty,
Sahithi Ravuri,
Siddhartha Reddy Mandati		 source
pdf		 10
SGF 2013 Finding the Gold in Your Data: An Overview of Data Mining David A. Dickey source 16
SGF 2013 Grand Designs: Why It Pays to Think About Technical Architecture Design Before You Act Simon Williams source 18
SGF 2013 How to Do a Successful MDM Project in SAP Using SAS MDM Advanced Casper Pedersen source 6
SGF 2013 Impact of London Olympics According to Tweeters Goutam Chakraborty,
Shirmeen Virji,
Yu Fu		 source
pdf		 7
SGF 2013 In-Database Data Quality: Performance for Big Data Charlotte Crain,
Mike Frost,
Scott Gidley		 source 12
SGF 2013 Integrating SAS into Your Operational Environment: SOA: A Means to an End Rob Stephens,
Saravana Chandran		 source 8
SGF 2013 Investigating the Impact of Amazon Kindle Fire HD 7? on Amazon.com Consumers Using SAS Text Miner and SAS Sentiment Analysis View Paper View Poster Goutam Chakraborty,
Hari Hara Sudhan Duraidhayalu,
Srihari Nagarajan		 source
pdf		 14
SGF 2013 Knowing When To Start, Where You Are, and How Far You Need To Go: Customized Software Tracks Project Workflow, Deliverables, and Communication Eric Vandervort source 14
SGF 2013 Opinion Mining and Geo-positioning of Textual Feedback from Professional Drivers Goutam Chakraborty,
Mantosh Kumar Sarkar		 source 11
SGF 2013 Predicting Women's Department Purchases in a Retail Store By Using the SEMMA Methodology Michael Soto source 12
SGF 2013 Predictive Modeling in Sports Leagues: An Application in the Indian Premier League Goutam Chakraborty,
Pankush Kalgotra,
Ramesh Sharda		 source 10
SGF 2013 SAS Certification: Understand the Benefits of SAS Certification, Which SAS Certifications Are Available, and What SAS Certification Can Do for You Andrew Howell source 9
SGF 2013 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
SGF 2013 SAS Enterprise Guide: What's in It for the Long-Term Highly Experienced SAS Programmer Roger D. Muller source 7
SGF 2013 Segmentation and Classification Analysis Using SAS Rachel Poulsen source 14
SGF 2013 The Value of Neighborhood Information in Prospect Selection Models: Investigating the Optimal Level of Granularity Dirk Van den Poel,
Philippe Baecke		 source 15
SGF 2013 Time Is Precious, So Are Your Models: SAS Provides Solutions to Streamline Deployment Jonathan Wexler,
Wayne Thompson		 source 17
SGF 2013 Using Classification and Regression Trees (CART) in SAS Enterprise Miner? for Applications in Public Health Leonard Gordon source 8
SGF 2013 What Do Your Consumer Habits Say About Your Health? Using Third-Party Data to Predict Individual Health Risk and Costs Albert Hopping,
Rick Monaco,
Sarah Rittman,
Satish Garla		 source 15
SGF 2013 What's New in SAS Data Management Malcolm Alexander,
Nancy A. Rausch		 source 17
NESUG 2012 %ASSERT Your Way to Sleep-Filled Nights: A One-Line Macro for Data Validation Quentin McMullen 8
NESUG 2012 An Animated Guide: Regression Trees in JMP and Enterprise Miner Russell M. Lavery 32
NESUG 2012 Applying Business Analytics to Optimize Clinical Research Operations David Handelsman 8
NESUG 2012 Data Validation and Transformation in ETL Processing with Help of Perl Regular Expressions in SAS Val Volovik 11
NESUG 2012 K-Nearest Neighbor Classification and Regression in SAS Liang Xie 16
NESUG 2012 Loading Metadata to the IRS Compliance Data Warehouse (CDW) Website: From Spreadsheet to Database Using SAS Macros and PROC SQL Robin Rappaport,
Jeffrey S. Butler		 7
NESUG 2012 Practical Application of SAS Capabilities for Pharma Goaling and Performance Review Ramya Purushothaman 15
NESUG 2012 Quality Assurance: Best Practices in Clinical SAS Programming Parag Shiralkar 8
NESUG 2012 Seek and Ye Shall FINDC: A Powerful Function for Qualitative Data Validation Xiaoke Yang,
Peter C. Landi		 7
SCSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer source 38
PHUSE EU 2012 "Bertha.sas" - User Friendly Ways to get Traceability Elena Glathe source
presentation source		 28
PHUSE EU 2012 A Macro to Replace PROC PEPORT!? Katja Glass source
presentation source		 8
PHUSE EU 2012 ADaM Or SDTM? A Comparision of Pooling Strategies for Integrated Analyses in the Age of CDISC Joerg Guettner,
Alexandru Cuza		 source
presentation source		 7
PHUSE EU 2012 Bootstrap Analysis Double-Independent Programming: Issues and Solutions Nils Penard source
presentation source		 10
PHUSE EU 2012 CDISC Advisory Board Validation Project - Best Practices for CDISC Validation Rules Lauren L. Shinaberry source
presentation source		 4
PHUSE EU 2012 Centralised Risk-Based Source Data Verification Shafi Chowdhury source
poster source		 1
PHUSE EU 2012 Centralised Risk-Based Source Data Verification Shafi Chowdhury,
Mokhfur Alam Chowdhury		 source
presentation source		 4
PHUSE EU 2012 Controlling OpenCDISC Using R Martin Gregory source
presentation source		 7
PHUSE EU 2012 Deep Dive into ODM Validation Ronald Steinhau source
presentation source		 3
PHUSE EU 2012 Interpreting ADaM Standards with OpenCDISC Trupti Bal,
Madhura Paranjape		 source
presentation source		 8
PHUSE EU 2012 Legacy Data Conversion: A Journey of Discovery Panteleo Nacci,
Novartis Vaccines		 source
presentation source		 8
PHUSE EU 2012 Mapping the Company's Legacy Data Model to SDTM Anja Feuerbacher,
Bruce Rogers		 source
presentation source		 7
PHUSE EU 2012 Measure the Benefit of Standards Ltd - Provide Evidence to the Gut Feeling Gary Fleming source
presentation source		 5
PHUSE EU 2012 New Approaches to Validation for SaaS-based Clinical Computing Solutions in the Cloud Tony Hewer source
presentation source		 7
PHUSE EU 2012 Off Shored, 5 Years On Bhupendra Mistry source
poster source		 6
PHUSE EU 2012 Optimizing Data Validation Andrew Newbigging source
presentation source		 10
PHUSE EU 2012 Pooling Clinical Data: Key Points and Pitfalls Florence Buchheitt source
presentation source		 8
PHUSE EU 2012 Programming By Rules Magnus Mengelbier source
poster source		 4
PHUSE EU 2012 SAS 9.3 Migration - A Project Experience Jules Van der Zalm,
Raymond Ebben		 source
presentation source		 12
PHUSE EU 2012 SAS Clinical Standards Toolkit 1.5 - How Do I Know My Metadata is Right? Gene Lightfoot source
presentation source		 14
PHUSE EU 2012 SAS Clinical Standards Toolkit: define.xml and Value Level Metadata Gene Lightfoot source
presentation source		 27
PHUSE EU 2012 The 3 Year Obsession: Length of Experiences the Sole Determinant of Competence? Meghana Bhagwat,
Manjusha Gode		 source
presentation source		 9
PHUSE EU 2012 Tricks for Testing Standard Macro Components in SAS Software Lina Ulkjaer Jorgensen source
poster source		 4
PHUSE EU 2012 Using Workflows to Standardize Business Processes and Best Practices in Pharmaceutical Programming Mark Lambrecht,
Julie A. Maddox		 source
presentation source		 7
PHUSE EU 2012 Validation in Epidemiological Studies [presentation] Raimund Storb source 24
PHUSE EU 2012 Validation to define.xml Sam Tomioka,
Steven Huang		 source
poster source		 8
SESUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach source 11
SESUG 2012 An Introduction to the Clinical Standards Toolkit Mike Molter source 13
SESUG 2012 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio source 17
SESUG 2012 K-Nearest Neighbor Classification and Regression using SAS Liang Xie source 16
SESUG 2012 Knowing When To Start, Where You Are, and How Far You Need To Go: Customized Software Tracks Project Workflow, Deliverables, and Communication Eric Vandervort source 14
SESUG 2012 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SESUG 2012 SAS Programming tips and techniques for Data Mapping Sheetal Nisal source 7
MWSUG 2012 A Brief Survey of Clustering and Segmentation for Customer Intelligence George J. Hurley 18
MWSUG 2012 Direct Marketing Profit Model Bruce S. Lund 8
MWSUG 2012 JMP Pro Bootstrap Forest George J. Hurley 10
MWSUG 2012 Methods for Interaction Detection in Predictive Modeling Using SAS Douglas Thompson 13
MWSUG 2012 Project Automation and Tracking Using SAS Rajesh Lal 12
MWSUG 2012 SAS Data Management Techniques: Cleaning and Transforming Data for Delivery of Analytic Data Sets Christopher W. Schacherer 38
MWSUG 2012 So You Want to Install SAS? Rafi Sheikh 9
MWSUG 2012 The BEST. Message in the SASLOG Andrew T. Kuligowski 4
WUSS 2012 Assessing Interim Data Using Figures William Coar source 6
WUSS 2012 Best Practices: Use Coding Shortcuts to Avoid Typsos and Add Flexibility Mary F. O. Rosenbloom,
Edwards Lifesciences,
Kirk Paul Lafler		 source 7
WUSS 2012 Biology research data cleaning technical Kai Yang source 12
WUSS 2012 Bridging the Gap Between SAS Applications Developed by Business Units and Conventional IT Production Thomas E. Billings,
Euwell Bankston		 source 11
WUSS 2012 Estimating Harrell's Optimism on Predictive Indices Using Bootstrap Samples Irena Stijacic Cenzer,
Yinghui Miao,
Katharine Kirby,
W. John Boscardin		 source 9
WUSS 2012 Multivariate Statistical Analysis in SAS: Segmentation and Classification of BehavioralData Rachel Poulsen source 14
WUSS 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
PharmaSUG CN 2012 Rising to Excellence - How a China CRO Achieves International Standards [presentation] Helen Yin,
Minzhi Liu		 27
PharmaSUG CN 2012 SAS Data Query and Edit Checks with HTML5 Sy J. Truong pptx 17
PharmaSUG 2012 A Comparison of Two Commonly Used CRO Resourcing Models for SAS/ Statistical Programmers R. Mouly Satyavarapu source 5
PharmaSUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
PharmaSUG 2012 An Innovative ADaM Programming Tool for FDA Submission Xiangchen (Bob) Cui,
Min Chen,
Tathabbai Pakalapati		 source 25
PharmaSUG 2012 An Introduction to the Clinical Standards Toolkit and Clinical Data Compliance Checking Mike Molter source 14
PharmaSUG 2012 Automatic Detection and Identification of Variables with All Missing Values in SDTM/ADaM Datasets for FDA Submission Min Chen,
Xiangchen (Bob) Cui		 source 7
PharmaSUG 2012 Automation of Comparing ODS RTF Outputs in Batch using VBA and SAS Dongsun Cao source 8
PharmaSUG 2012 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio source 16
PharmaSUG 2012 Common Misunderstandings about ADaM Implementation Nate Freimark,
Susan J. Kenny,
Jack Shostak,
John K. Troxell		 source 10
PharmaSUG 2012 Could Have, Would Have, Should Have! Adopting Good Programming Standards, Not Practices, to Survive An Audit. Vincent J. Amoruccio source 17
PharmaSUG 2012 Creating Analysis Data Marts from SDTM Warehouses Frank L. Roediger source 9
PharmaSUG 2012 Creating SAS Report Outline Using the Output Delivery System for Online Review Sue X. Zhang source 11
PharmaSUG 2012 Importing Excel File using Microsoft Access in SAS Ajay Gupta source 8
PharmaSUG 2012 Ir-RECIST-ible Sanket Kale,
Jeffrey Moran		 source 4
PharmaSUG 2012 Making a List, Checking it Twice: Efficient Production and Verification of Tables and Figures Using SAS Linda Collins,
Elizabeth Li		 source 17
PharmaSUG 2012 Metadata: Some Fundamental Truths Frank C. DiIorio source 10
PharmaSUG 2012 Migrating to a 64-bit operating system: Quick pointers Jacques Thibault source 6
PharmaSUG 2012 PROGRAMMER'S SAFETY KIT: Important Points to Remember While Programming or Validating Safety Tables Sneha Sarmukadam,
Sandeep Sawant		 source 11
PharmaSUG 2012 SAS Data Query and Edit Checks with HTML5 Sy J. Truong,
Ale Gicqueau		 source 17
PharmaSUG 2012 SDTM, ADaM and define.xml with OpenCDISC Matthew J. Becker source 14
PharmaSUG 2012 Short-circuiting PROC COMPARE: Techniques for Focusing Dataset Comparisons Tracy Sherman,
Brian P. Fairfield-Carter		 source 8
PharmaSUG 2012 Using the SAS Clinical Standards Toolkit 1.4 for define.xml creation Lex Jansen source 30
PharmaSUG 2012 Validating SAS Macros and Updated SAS Version Sy J. Truong,
Carey G. Smoak		 source 11
SGF 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
SGF 2012 An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner Iain L. Brown source 14
SGF 2012 Applying Business Analytics to Optimize Clinical Research Operations David Handelsman source 8
SGF 2012 Are You in Need of Validation? Psychometric Evaluation of Questionnaires Using SAS Eric P. Elkin source 9
SGF 2012 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Kirk Paul Lafler		 source 10
SGF 2012 Building WOE Binned LGD Scorecards using SAS Enterprise Miner Anthony J. van Berkel,
Naeem Siddiqi		 source 14
SGF 2012 Classification of Customers Textual Responses via Application of Topic Mining Anil K. Pantangi,
Goutam Chakraborty		 source 6
SGF 2012 Deciphering PROC COMPARE Codes: The Use of the bAND Function Joseph W. Hinson,
Margaret M. Coughlin		 source 9
SGF 2012 Developing a Predictive Model for Customer Trip Purpose to Be Integrated into Enterprise Strategy and Analytics Jonathan Levine source 16
SGF 2012 Evolution of Best Practices for Metadata Change Control in SAS 9 Diane Hatcher source 13
SGF 2012 Evolving from Data Management to Master Data Management Wilbram Hazejager source 8
SGF 2012 How to Create a Business Intelligence Strategy Guy R. Garrett source 8
SGF 2012 Including the Salesperson Effect in Purchasing Behavior Models Using PROC GLIMMIX Philippe Baecke,
Dirk Van den Poel		 source 11
SGF 2012 Its About Time: Discrete Time Survival Analysis using SAS Enterprise Miner Sascha Schubert,
Susan Haller,
Taiyeong Lee		 source 15
SGF 2012 Leveraging Analytics in Transportation to Create Business Value Vijitha Kaduwela source 12
SGF 2012 Practical Application of SAS Capabilities for Pharma Goaling and Performance Review Ramya Purushothaman source 16
SGF 2012 Security Hardening for SAS 9.3 Enterprise BI Web Applications Heesun Park source 11
SGF 2012 The Emergence of Patterns in SAS Usage and Infrastructure Chuck Kincaid,
Mike R Vanderlinden		 source 15
SGF 2012 The Steps to Follow in a Multiple Regression Analysis Theresa H. Ngo source 12
SGF 2012 The Systems Development Life Cycle (SDLC) as a Standard: Beyond the Documentation Dianne Louise Rhodes source 5
SGF 2012 The Top Five Migration Considerations for Success Andrew Mott source 8
SGF 2012 Trend Analysis: An Automated Data Quality Approach for Large Health Administrative Databases Mahmoud Azimaee source 9
SGF 2012 Using SAS Enterprise BI and SAS Enterprise Miner to Reduce Student Attrition Matt T. Bogard,
Chris James,
Tuesdi Helbig,
Gina Huff		 source 10
SGF 2012 Using SAS to Move Data between Servers John E. Bentley source 14
SCSUG 2011 Prediction on Diabetes Using Data Mining Approach Pardha Repalli source 10
SESUG 2011 JMP Analytics Applied in Diagnostic Radiology and Neurosurgery Trauma Research Melvin T. Alexander source 18
SESUG 2011 Loading Metadata to the IRS Research Compliance Data Warehouse (CDW) Website: From Excel Spreadsheet to SQL Server Relational Database Using SAS Macro and PROC SQL Robin Rappaport,
Jeffrey S. Butler		 source 7
SESUG 2011 Proc CDISC: Implementation and Assessments Sheetal Nisal source 6
SESUG 2011 Resolving OpenCDISC Error Messages Using SAS John R. Gerlach source 11
WUSS 2011 Assigning a User-Defined Macro to a Function Key Mary F. O. Rosenbloom,
Edwards Lifesciences		 source 8
WUSS 2011 How to easily convert clinical data to CDISC SDTM Ale Gicqueau source 9
WUSS 2011 Principal Component Regression as a Countermeasure against Collinearity Chong Ho Yu source 7
WUSS 2011 SAS Data Query and Edit Checks Web 2.0 Sy J. Truong source 15
WUSS 2011 SAS Essentials I: SAS Functions for a Better Functioning Community AnnMaria De Mars source 15
WUSS 2011 Use CDISC SDTM as a data middle-tier to streamline your SAS infrastructure Kalyani Chilukuri source 8
WUSS 2011 Using affinity Models for Buyer Behaviors Matthias Kehder source 2
PHUSE EU 2011 A simple interface for defining, programming and managing SAS edit checks Virginie Freytag,
Michel Toussaint		 source
poster source		 7
PHUSE EU 2011 ADaM Validation and Integrity Checks Louise Cross source
presentation source		 5
PHUSE EU 2011 An Approach to Standard Programming in a Central Data Repository Robert Ellison source
presentation source		 6
PHUSE EU 2011 Development of SAS Standard Macro Systems Katja Glass source
presentation source		 5
PHUSE EU 2011 Implementing ADaM Using the SAS Clinical Standards Toolkit Gene Lightfoot source
presentation source		 12
PHUSE EU 2011 Much ADaM about Nothing - a PROC Away in a Day Endri Endri,
Rowland Hale		 source
presentation source		 8
PHUSE EU 2011 Preparing an eSubmission based on multiple trials, some of which are ongoing - challenges for statistical programmers Asa Carlsheimer source
presentation source		 7
PHUSE EU 2011 Programming for Early and Late Phase - really that different? Katherine Macey source
presentation source		 6
PHUSE EU 2011 SAS Data Management Studio David Smith source 4
PHUSE EU 2011 SAS Drug Development as a platform governing data standards specification and clinical data exchange between pharmaceutical organizations Tina Apers source
presentation source		 56
PHUSE EU 2011 Study Composer: a CRF design tool enabling the re-use of CDISC define.xml metadata Philippe Verplancke source
presentation source		 5
PHUSE EU 2011 Unit Testing as a Cornerstone of SAS Application Development Dante Di Tommaso source
presentation source		 6
PHUSE EU 2011 Using R to Validate Results of Other Programming Environments Nikhil Abhyankar,
Vidyagouri Prayag		 source
presentation source		 8
PHUSE EU 2011 Using the SAS Clinical Standards Toolkit to work with the CDISC ODM model Lex Jansen source
presentation source		 20
PHUSE EU 2011 Writing standard programs your people will use and love! Jean-Marc Ferran source
presentation source		 8
MWSUG 2011 Automated or Manual Validation: Which One is for You? Richann J. Watson,
Patty Johnson		 5
MWSUG 2011 ETL Anatomy 101 Thomas A. Miron 7
MWSUG 2011 I Don't Look Good in Orange or Stripes Susan M. Fehrer 4
MWSUG 2011 JMP as an Analytic Hub: Using JMP to Build Custom Applications via SASand R Kelci J. Miclaus,
Clay Barker,
Jun Ge		 13
MWSUG 2011 Optimizing Clinical Research Operations with Business Analytics David Handelsman 6
MWSUG 2011 The Emergence of Patterns in SAS Usage and Infrastructure Chuck Kincaid,
Mike R Vanderlinden		 13
MWSUG 2011 Using JMP Visualizations to Build a Statistical Model George J. Hurley 11
MWSUG 2011 Using SAS to Find the Best K for K-Nearest-Neighbor Classification Charlie Huang 14
NESUG 2011 A Utility to Validate the LoT Mukesh Garg,
David Etris,
Vikash Jain		 4
NESUG 2011 A Validation Macro to Check Compliance of CDISC SDTM Data Hany Aboutaleb 13
NESUG 2011 Automating SDTM File Creation: Metadata Files Speeding the Process Daphne E. Ewing 7
NESUG 2011 Creating Easily Reusable and Extensible Processes: Code That Thinks for Itself Faisal Dosani,
Lisa Eckler,
Marje Fecht		 17
NESUG 2011 Metadata: Some Fundamental Truths Frank C. DiIorio 9
NESUG 2011 The 5 Most Important Clinical SAS Programming Validation Steps Brian C. Shilling 6
NESUG 2011 Validating CDISC Compliant Data and Creating Define.xml Made Easy Sandeep Purwar 5
PharmaSUG 2011 A Cost-Effective SDTM Conversion for NDA Electronic Submission Xiangchen (Bob) Cui,
Scott E. Moseley,
Min Chen		 source 12
PharmaSUG 2011 A Regular Language: The Annotated Case Report Form Ryan Wilkins,
Joel Campbell		 source 9
PharmaSUG 2011 ADaM Standard Naming Conventions are Good to Have Christine S Teng source 8
PharmaSUG 2011 Automated or Manual Validation: Which One is for You? Richann J. Watson,
Patty Johnson		 source 5
PharmaSUG 2011 Automating the Installation and Operational Qualifications of Your SAS Applications with the SAS System Joe Perry source 7
PharmaSUG 2011 Brave New World: How to Adapt to the CDISC Statistical Computing Environment Jeffrey M. Abolafia,
Frank C. DiIorio		 source 11
PharmaSUG 2011 Building a Hosted Statistical Computing Environment: Is it Possible? John Leveille source 6
PharmaSUG 2011 Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You're Sorry When Creating SDTM Domains Janet E. Stuelpner,
Jack Shostak		 source 12
PharmaSUG 2011 FAQ: Issues with Efficacy Analysis of Clinical Trial Data Using SAS Sandeep Sawant,
Nehan Mohan		 source 5
PharmaSUG 2011 Find / Track / Check and Close, Using SAS to Streamline SDTM Validation Including the Hyperlinks David Tillery,
Qiang Zhai,
Lily Peng		 source 5
PharmaSUG 2011 Importing Excel 'Data' Into SAS Datasets Without Involving SAS Stephen Hunt source 7
PharmaSUG 2011 Making a List, Checking it Twice (Part 1): Techniques for Specifying and Validating Analysis Datasets Elizabeth Li,
Linda Collins		 source 8
PharmaSUG 2011 Managing the Validation and Migration from SAS 9.13 to 9.2 on a New Server Carey G. Smoak,
Sy J. Truong		 source 4
PharmaSUG 2011 Project Automation and Tracking Using SAS Rajesh Lal source 12
PharmaSUG 2011 Resolving OpenCDISC Error Messages Using SAS Virginia Redner,
John R. Gerlach		 source 10
PharmaSUG 2011 SDTM, ADaM and define.xml with OpenCDISC Matthew J. Becker,
Angela S. Ringelberg		 source 13
PharmaSUG 2011 Using the SAS Clinical Standards Toolkit for define.xml creation Lex Jansen source 20
PharmaSUG 2011 Validating Controlled Terminology in SDTM Domains John R. Gerlach source 12
PharmaSUG 2011 Validating define.xml: Tools, trials, and tribulations Sandra VanPelt Nguyen source 5
SGF 2011 Best Solutions for Tuning Performance of ETL Jobs in SAS Data Integration Studio Qingfeng Liang source 10
SGF 2011 BI Competency Center 2.0 Putting the Model into Practice Rocket Wong,
Ian P. Healy		 source 8
SGF 2011 Bump Hunting With SAS: A Macro Approach to Employing PRIM Jennifer Sniadecki source 9
SGF 2011 Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You're Sorry When Creating SDTM Domains Janet E. Stuelpner,
Jack Shostak		 source 12
SGF 2011 Data Integration Monitor Bart Heinsius source 10
SGF 2011 Global Risk Management: How SAS Enterprise GRC Manages Nonfinancial Risk in a Distributed Enterprise Victor Jiang,
Hao Qiu		 source 17
SGF 2011 How TV 2 Improves Data Quality and Facilitates a Unified Customer View for Optimizing the Customer Experience Svein O. Gundhus,
Terje Vatle		 source 12
SGF 2011 Improving Customer Loyalty Program through Text Mining of Customers Comments Maheshwar R. Nareddy,
Goutam Chakraborty		 source 8
SGF 2011 In Control of Your Data Warehouse Processes With the Help of SAS Stored Processes and the SAS Information Delivery Portal Ralf Vaessen,
Danny Pannemans,
Juan M. Quesada,
Koen Vyverman		 source 24
SGF 2011 Innovations in Data Management - Introduction to Data Management Platform Wilbram Hazejager,
Pat M. Herbert		 source 8
SGF 2011 JMP 9 and Interactive Statistical Discovery John P. Sall source 15
SGF 2011 Macro Design Automation Tool (MDAT): A Methodology for Storing Macro Design Information, Generating Documentation and Code Templates, and Automating Parameter Validation Richard L. Schneck,
Mindy Rodgers		 source 12
SGF 2011 Master Data Management, the Third Leg of the Data Management Stool: a.k.a. the DataFlux qMDM Solution Pat M. Herbert,
Wilbram Hazejager		 source 9
SGF 2011 ODS Output Data Sets That Work for You Stuart D. Long,
Edward Heaton,
Daniel R. Scharf		 source 29
SGF 2011 Optimizing Clinical Research Operations with Business Analytics David Handelsman source 6
SGF 2011 Ratemaking Using SAS Enterprise Miner: An Application Study Billie Anderson source 20
SGF 2011 Regression Model Development for Credit Card Exposure at Default (EAD) Using SAS/STAT and SAS Enterprise Miner 5.3 Iain L. Brown source 11
SGF 2011 SAS Software Development with the V-Model Andrew B. Ratcliffe source 9
SGF 2011 So, That's What's in There? Customer Service through Unstructured Data Bruce Bedford,
Ben Zenick		 source 11
SGF 2011 State of the Union: The Crossroads of CDISC Standards and SAS Supporting Role Michael J. Molter,
Chris Decker		 source 14
SGF 2011 The Validator: A Macro to Validate Parameters Steven A. Wilson source 13
SGF 2011 This SAS Program Says to Google, "What's Up Doc?" Scott Davis source 6
SGF 2011 Using JMP Visualizations to Build a Statistical Model George J. Hurley source 11
SGF 2011 Using SAS Enterprise Guide to Provide Water and Conserve Electricity for SAS Global Forum Attendees! Cecelia A. Adair source 10
SGF 2011 Using SAS to Incorporate the SDTM for a Study Funded by the NIH Fenghsiu Su,
Bradford Jackson,
Kaming Lo,
Sumihiro Suzuki,
Karan Singh,
David Coultas		 source 8
SGF 2011 Using SAS to Move Data between Servers John E. Bentley source 12
NESUG 2010 A Few Quick and Efficient Ways to Compare Data Aileen D. Bennett 6
NESUG 2010 Automating SDTM File Creation: Metadata Files Speeding the Process Daphne E. Ewing 7
NESUG 2010 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio 16
NESUG 2010 Functional Data Analysis on SAS system Le Yin 9
NESUG 2010 Improve Customer Retention by Answering Who and Why? Ward Thomas 8
NESUG 2010 Leverage Your Programming with Code Generation Paulette W. Staum 16
NESUG 2010 Outsourced Data Integration Project with CDISC SDTM and ADaM Deliverables Margaret M. Coughlin,
Christine S Teng		 11
NESUG 2010 Quality Control: How to Analyze and Verify Financial Data Michelle M. Duan 5
NESUG 2010 SAS and open source tools for CDISC SDTM compliance checks for regulatory submissions Sandeep Kottam,
Peter Loonan,
Sree Lakshmi Kalyani Tripuraneni		 4
NESUG 2010 Scheduling Programming Activities and Johnson's Algorithm Allan Glaser,
Meenal (Mona) Sinha		 7
NESUG 2010 The 5 Most Important Clinical SAS Programming Validation Steps Brian C. Shilling 6
NESUG 2010 The Past, Present, and Future of Clinical Data Standards Chris Decker 10
NESUG 2010 The Systems Development Life Cycle (SDLC) as a Standard: Beyond the Documentation Dianne Louise Rhodes 5
NESUG 2010 U.S. Energy Information Administration: The Move to SAS 9.2 Michael Bretz 11
NESUG 2010 Using Google to Solve SAS Problems Michael Todd 13
NESUG 2010 Using SAS Enterprise Guide to Create Standalone Programs Michael Todd 10
WUSS 2010 Automating the Installation and Operational Qualifications of Your SAS Applications with the SAS System Joe Perry source 6
WUSS 2010 Creating a Patient Profile using CDISC SDTM Marc Desgrousilliers source 5
WUSS 2010 Decision Trees as a Predictive Modeling Method Gerry Hobbs source 7
WUSS 2010 Logit-based Neutral Zone Classification Algorithm with Application to Microbial Community Profiling Rebecca Le source 9
WUSS 2010 Normalized Editchecks Automated Tracking (N.E.A.T.) Frank Fan source 11
WUSS 2010 Strategies for Building and Utilizing an Integrated Safety Database Using SAS Denise J. Smith source 11
WUSS 2010 Tips for Constructing a Data Warehouse Part 1 Curtis A. Smith source 12
WUSS 2010 Validating and Migrating SAS 9.13 to 9.2 Sy J. Truong source 6
PHUSE EU 2010 A Case Study in Using Unit Testing as a Method of Primary Validation Ross Farrugia source
presentation source		 12
PHUSE EU 2010 AstraZeneca and Quintiles Prgramming Groups - working collaboratively Elizabeth Latta,
Paul Westley		 source
poster source		 8
PHUSE EU 2010 AstraZENeca and the ART of metadata maintenance Paul Frost source
presentation source		 11
PHUSE EU 2010 Data Warehousing for the Reporting and Management of Clinical Data Robert Ellison source
presentation source		 4
PHUSE EU 2010 Define.xml - Tips and Techniques for Creating CRT-DDS Julie A. Maddox,
Mark Lambrecht		 source
presentation source		 10
PHUSE EU 2010 Defining "Compliance" for Analysis Data Chris Decker,
Randall Austin		 source
presentation source		 7
PHUSE EU 2010 Exploratory Data Analysis in Pharmacogenomics Using SAS JMP and Windows WF Workflows Robert Eric Huisden source
presentation source		 4
PHUSE EU 2010 How much is it? Validation of Open-Source Software using the example of R Peter Bewerunge source
presentation source		 7
PHUSE EU 2010 How to improve quality control in a data conversion process? By extended usage of metadata! Dimitri Kutsenko source
presentation source		 4
PHUSE EU 2010 Implementing, Managing and Validating a Clinical Standard Gene Lightfoot source
presentation source		 12
PHUSE EU 2010 Introduction to SAS Clinical Standards Toolkit Andreas Mangold,
Nicole Waechter		 source
presentation source		 16
PHUSE EU 2010 Migrating a SAS Programming Environment to a Virtual Linux Server Dirk Spruck,
Judith Kanz		 source
presentation source		 9
PHUSE EU 2010 Modeling and Simulation: challenges for the clinical programmer and for the group leader [presentation] Vincent Buchheit source 18
PHUSE EU 2010 SAS/AF Frame in programmer toolkit Patrick Lupien source
presentation source		 5
PHUSE EU 2010 The Use of Meta Data in Creating, Transforming and Transporting Clinical Data Gregory C. Steffens source
presentation source		 9
PHUSE EU 2010 Validation Strategies for Report Objects and Programs - Challenges and Obstacles in a Risk Based World Christoph Ziegler,
Beate Hientzsch		 source
presentation source		 12
PHUSE EU 2010 Vendor Selection & Management in GxP critical IT projects - a validation perspective (based on actual case) [presentation] Claus le Fevre source 19
PHUSE EU 2010 Why "Context Driven Content Management" should be considered by the pharmaceutical industry Karsten Fogh Ho-Lanng source
presentation source		 6
MWSUG 2010 Comparing JMP and SAS for Validating Clinical Trials Sandra D. Schlotzhauer 18
MWSUG 2010 Introduction to Business Intelligence for SAS Users Thomas A. Miron 11
MWSUG 2010 This SAS Program Says to Google, "What's Up Doc?" Scott Davis 6
SESUG 2010 Analysis and Visual Review of Error Matrices in SAS Stat Studio Robert Seffrin source 10
SESUG 2010 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio source 16
SESUG 2010 Developing a Model for Person Estimation in Puerto Rico for the 2010 Census Coverage Measurement Program Colt S. Viehdorfer source 12
SESUG 2010 How to Monitor "Don't Know" and "Refusal" Non-responses in a Large National Survey - Using Simple SAS Macros, a Few PROCs, and Data Steps Mariah Mantsun Cheng,
Timothy Monbureau		 source 10
SESUG 2010 The Systems Development Life Cycle (SDLC) as a Standard: Beyond the Documentation Dianne Louise Rhodes source 5
PharmaSUG 2010 A Methodology of Quantifying Subjective Measurements Sudhir Singh 5
PharmaSUG 2010 Accessing and using the metadata from the define.xml Lex Jansen 22
PharmaSUG 2010 Accessing and using the metadata from the define.xml [presentation] Lex Jansen 74
PharmaSUG 2010 Achieving Efficiency in CDISC-SDTM Conversion and its Challenges - Case Study Ilango Ramanujam 6
PharmaSUG 2010 Application of Modular Programming in Clinical Trial Environment Mirjana Stojanovic 8
PharmaSUG 2010 Building Effective Statistical Programming Teams for Clinical Trials Dawn Edgerton 3
PharmaSUG 2010 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio 16
PharmaSUG 2010 Checking for SDTM Compliance: The Need for Human Involvement Fred Wood,
Adrienne Boyance		 8
PharmaSUG 2010 Creating a Lean and Flexible Programming Environment for Analysis and Reporting Lisa Pyle,
Ginger Redner		 6
PharmaSUG 2010 How to build ADaM from SDTM: A real case study Jian Hua (Daniel) Huang 12
PharmaSUG 2010 How to validate SDTM SUPPQUAL Data Set Kevin Lee 4
PharmaSUG 2010 In-Depth Review of Validation Tools to Check Compliance of CDISC SDTM-Ready Clinical Datasets Bhavin Busa,
Kimberly Lindfield		 52
PharmaSUG 2010 In-Depth Review of Validation Tools to Check Compliance of CDISC SDTM-Ready Clinical Datasets Bhavin Busa,
Kimberly Lindfield		 8
PharmaSUG 2010 Let your title macro report study progress Yang Chen 5
PharmaSUG 2010 Logging the Log Magic: Pulling the Rabbit out of the Hat Adel Fahmy 12
PharmaSUG 2010 Managing Clinical Data Standards: An Introduction to SAS Clinical Data Integration Michael Kilhullen 10
PharmaSUG 2010 Online Query Management System: An Innovative SAS/IntrNet Solution for Clinical Data Management Romain Miralles 12
PharmaSUG 2010 Programming Validation: Perspectives and Strategies Parag Shiralkar 4
PharmaSUG 2010 Quality in a World of "Standards" with Differences! Sandra VanPelt Nguyen 9
PharmaSUG 2010 RTF_READ: Decoding RTF Files Sandeep Juneja 6
PharmaSUG 2010 SDTM Attribute Checking Tool Ellen Xiao 6
PharmaSUG 2010 Sort Your Problems: Using SORTEDBY to Compare Datasets Sanket Kale 5
PharmaSUG 2010 Using the SAS Clinical Standards Toolkit to Validate CDISC SDTM Data [presentation] Gene Lightfoot,
Bill J. Gibson		 33
PharmaSUG 2010 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis,
Olga Belotserkovsky		 13
PharmaSUG 2010 Validation: Quick and Easy Wancheng Luo 14
SGF 2010 Automating SDTM File Creation: Speeding Up the Process with Metadata Files Daphne E. Ewing source 7
SGF 2010 BI Development for Education by Our Institutional Research Department OR How BI Tools Made Our Motto IR Is Data a Fact Ali Y. Yorkos,
Maureen Murray		 source 10
SGF 2010 Birds Fly South to Migrate; a SAS 9.2 Migration Need Not Maureen E. Chew source 10
SGF 2010 Blistering ETL Performance Using the Intelligent, Dynamic, and Parallel Capabilities of SAS David Logan source 8
SGF 2010 Business Intelligence Competency: Maine Medical Center Ian P. Healy,
Rocket Wong		 source 8
SGF 2010 Closing the Gap between Credit Access and Risk Management Clark R. Abrahams source 15
SGF 2010 dATa qWaliti 4 Analytics David Barkaway,
Gerhard Svolba		 source 12
SGF 2010 How to Establish an Analytical Center of Excellence to Maximize the Value from Your Data and Analytics Investment Anne Milley,
Aiman M. Zeid		 source 11
SGF 2010 How to Transform a Technical Exercise into a Real Opportunity Taking Advantage of New Features That SAS Developed: The True Challenge of a Migration Grégory Becquembois,
Pascal Maurice		 source 13
SGF 2010 Improving the Defense Lines: The Future of Fraud Detection in the Insurance Industry (with Fraud Risk Models, Text Mining, and Social Networks) Terisa Roberts source 7
SGF 2010 Integrating JMP with SAS to Create an Automated Workflow Application for Analyzing, Processing, and Reporting 96-Well Plate Format Fluorescence Microplate Reader Data Stanley P. Koprowski Jr. source 18
SGF 2010 Lowering the Cost and Risk of SAS Solution Integration with SAP: SAS Solution Adapters Raghavender Mangaraju,
Nancy Bremmer		 source 9
SGF 2010 Managing Clinical Data Standards: An Introduction to SAS Clinical Data Integration Michael Kilhullen source 10
SGF 2010 Managing Data Quality in Many Sectors: Healthcare, Tax, School, Environment Paola Leproni source 10
SGF 2010 Rapid Predictive Modeling for Customer Intelligence Wayne Thompson,
David R. Duling		 source 12
SGF 2010 SAS Code Validation: L.E.T.O. Method Aaron J. Augustine source 12
SGF 2010 SDTM Attribute Checking Tool Ellen Xiao source 6
SGF 2010 Tabular Reporting Data Standard Frederick A. Cieri source 9
SGF 2010 The Past, Present, and Future of Clinical Data Standards Chris Decker source 10
SGF 2010 The Power of the Group Processing Facility in SAS Enterprise Miner Sascha Schubert source 13
SGF 2010 Understanding the define.xml File and Converting It to a Relational Database Lex Jansen source 20
SGF 2010 Using the SAS System and SAS Enterprise Miner for Data Mining: A Study of Cancer Survival at the Mayo Clinic Leonard Gordon source 6
SGF 2010 Whats New in DataFlux dfPower Studio and DataFlux Integration Server Software? Lisa Dodson,
Wilbram Hazejager,
Pat M. Herbert		 source 8
SGF 2010 Where Does This WHERE Statement Go? Scott Davis source 4
SCSUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration or Promotion Diane Hatcher,
Sandy McNeill		 12
SESUG 2009 A Modular Approach to Develop Complex Data Errors Checking Program in Clinical Trial Environment Mirjana Stojanovic,
Laura E. Archer		 source 7
SESUG 2009 Building Effective Statistical Programming Teams for Clinical Trials Dawn Edgerton source 4
SESUG 2009 Customer Retention Predictive Modeling in HealthCare Insurance Industry Jin Su,
Kimberly Cooper,
Tina Robinson,
Brad Jordan		 source 8
SESUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 source 12
SESUG 2009 THINK Before You Type ... Best Practices Learned the Hard Way Marje Fecht source 8
PHUSE EU 2009 Accelerate Clinical Development through Management of Data Quality [presentation] David Smith source 30
PHUSE EU 2009 Automation using SAS & C#.NET for CROs and Pharmaceuticals Giri Balasubramanina,
Gopinath Viswanathan		 source
presentation source		 13
PHUSE EU 2009 Building and maintaining a clinical data warehouse - challenges and opportunities for pharmaceutical programmers [presentation] Juergen Kuebler source 15
PHUSE EU 2009 Clinical Database acceptance: what statistical review checks are necessary to validate a database? Genevieve Jehl source 12
PHUSE EU 2009 ClinicalTrials.gov - a programmers perspective Ralf Minkenberg source
presentation source		 6
PHUSE EU 2009 Converting the define.xml to a Relational Database to Enable Printing and Validation Lex Jansen source
presentation source		 19
PHUSE EU 2009 Database/Biostatistics Audits - from the Auditor's Perspective Barry Ryan source
presentation source		 7
PHUSE EU 2009 Experiences and lessons learned from a first SDTM submission project Paul Vervuren,
Bas van Bakel		 source
presentation source		 12
PHUSE EU 2009 Getting Your Point Across - Efficiency in QC Programming across Virtual Teams James Bidwell source 4
PHUSE EU 2009 Health Authority questions: how to deal with the diversity Annabelle Millischer-Foulon source
presentation source		 5
PHUSE EU 2009 Kendle Implementation of CDASH [presentation] Elke Sennewald,
Gill Lawrence		 source 32
PHUSE EU 2009 Model of interaction between China and Europe on a B &P project Johanna Mursic,
Martine Madec		 source 4
PHUSE EU 2009 Requirements, Specifications and Programming - How to ... cooperate with Statisticians in an effective way ... accelerate the production of report objects ... create technical specifications out of programs Christoph Ziegler source
presentation source		 8
PHUSE EU 2009 SDTM Validation: How can we do it right? Peter Van Reusel source
presentation source		 8
PHUSE EU 2009 Software validation in clinical trials: strategy, implementation and experiences in the MAKS project Jessica Wisniewski,
Daniel Wachtlin		 source 2
PHUSE EU 2009 Techniques for writing robust SAS macros Martin Gregory source
presentation source		 11
PHUSE EU 2009 The SAS Clinical Standards Toolkit David Smith source
presentation source		 8
PHUSE EU 2009 This study is essentially just like that other one Louise Mazzeo source 5
PHUSE EU 2009 User friendly management of continuously improving standard macro systems Katja Glass source
presentation source		 10
PHUSE EU 2009 Using SAS Clinical Data Integration Server to Implement and Manage CDISC Standards Julie A. Maddox source
presentation source		 8
PHUSE EU 2009 Validate it Again?! Get SAS to do it! Carol Matthews,
Ginger Lewis		 source 14
PHUSE EU 2009 XML Managment Using SAS Marco Bertolino source 12
MWSUG 2009 A Comparison of Decision Tree and Logistic Regression Model Xianzhe Chen 10
MWSUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 12
MWSUG 2009 Where Does This Where Go? Scott Davis 4
PNWSUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 12
PNWSUG 2009 Parameter-Driven Data Validation and Transformation Or The Marriage of Microsoft Excel and SAS Macro Variables to Solve ETL Problems Hugh Shinn,
Wanda Hopkins		 17
PNWSUG 2009 When Good Looks Aren't Enough Lisa Eckler 11
NESUG 2009 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio 16
NESUG 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Sandy McNeill 12
NESUG 2009 LOCF: It's more than just carrying forward Vikash Jain,
Niraj J. Pandya		 10
NESUG 2009 Look Ma, No Hands! Or How We Move SAS Into Microsoft Excel With No Manual Intervention John J. Cohen 8
NESUG 2009 Stopping Stepwise: Why Stepwise Selection Methods are Bad and What you Should use Instead David L. Cassell,
Peter L. Flom		 7
NESUG 2009 Supporting CDISC Standards in Base SAS Using the SAS Clinical Standards Toolkit Peter Villiers 13
NESUG 2009 Using Macros to Build a Robust, Data Driven Proc GLM Ginger Lewis,
Frank J. Tedesco		 9
NESUG 2009 When Good Looks Aren't Enough Lisa Eckler 11
WUSS 2009 An Automated Tool for Data Change Implementation Nilesh Bajania,
Alexander Pakalniskis,
Peixin Wang,
Alein T. Chun		 source 6
WUSS 2009 Automating the Process of Scoring a Generalized Linear Model Fitted using PROC GENMOD Prakash Gurumurthy source 9
WUSS 2009 Discriminant Analysis, a Powerful Classification Technique in Predictive Modeling George C. J. Fernandez source 20
WUSS 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration or Promotion Diane Hatcher source 12
WUSS 2009 SAS System and SAS Program Validation Techniques Sy J. Truong source 13
WUSS 2009 Strategic Business Intelligence and Analytics in Healthcare Shelley J. Muhs,
Bharat Chitnavis,
Gary Wood		 source 7
PharmaSUG 2009 Automated Verification of Data Set Metadata to Specification David Gray,
Zhuo Chen		 8
PharmaSUG 2009 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio 16
PharmaSUG 2009 Clinically Significant Data Integration Studio Chris Decker,
Stephen Baker		 12
PharmaSUG 2009 Converting the define.xml to a Relational Database to Enable Printing and Validation Lex Jansen 18
PharmaSUG 2009 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PharmaSUG 2009 Implementation Plan for CDISC SDTM & ADaM Standards at MedImmune Alan Meier 11
PharmaSUG 2009 Managing A Project Schedule; SAS Can Help Hui-Ping Chen,
Salt Lake		 6
PharmaSUG 2009 Oracle Clinical for SAS Programmers Kevin Lee 8
PharmaSUG 2009 Reducing Risk in your SAS Environment Brian K. Varney 3
PharmaSUG 2009 Supporting CDISC Standards in Base SAS Using the SAS Clinical Standards Toolkit Supporting CDISC Standards 13
PharmaSUG 2009 The Care and Feeding of SAS Macro Program Parameters Don Boudreaux 9
SGF 2009 A Comprehensive Credit Assessment Framework: Overview and Implications for the Subprime Crisis Clark R. Abrahams,
Sunny Zhang		 source 14
SGF 2009 A SAS Programmer's Guide to Generating Define.xml Michael J. Molter source 24
SGF 2009 Applications of the GLMSELECT Procedure for Megamodel Selection Robert A. Cohen source 25
SGF 2009 Clinical SAS Programming: Analysis and Mitigation of Risk Parag Shiralkar source 6
SGF 2009 Configuration Management for SAS Software Projects Steven J. O'Donoghue,
Andrew B. Ratcliffe		 source 37
SGF 2009 Cross Validation and Learning Curve Model Comparison with JMP Genomics and Grid Computing Tzu-Ming Chu,
Cheryl Doninger,
Glenn Horton,
Stan Martin,
Pei-Yi Tan,
Russell D. Wolfinger		 source 12
SGF 2009 Fitting Cox Model Using PROC PHREG and Beyond in SAS Lea Liu,
Sandy A. Forman,
Bruce A. Barton		 source 10
SGF 2009 For Base SAS Users: Welcome to SAS Data Integration! Jeff Stander source 19
SGF 2009 Generalizations of Generalized Additive Model (GAM): A Case of Credit Risk Modeling Wensui Liu,
Jimmy Cela,
Chuck Vu		 source 14
SGF 2009 Getting from SAS 9.1.3 to SAS 9.2: Migration Tools or Promotion Tools Diane Hatcher,
Sandy McNeill		 source 12
SGF 2009 Realizing Value Quickly from a Newly Installed SAS Enterprise BI Platform Brian K. Varney source 5
SGF 2009 Supporting CDISC Standards in Base SAS Using the SAS Clinical Standards Toolkit Peter Villiers source 13
SGF 2009 The Next Generation: SAS Enterprise Miner 6.1 David R. Duling,
Wayne Thompson		 source 10
SGF 2009 The Problem of Regression Assumptions and the Use of Predictive Modeling Patricia B. Cerrito source 20
SGF 2009 THINK Before You Type ... Best Practices Learned the Hard Way Marje Fecht source 8
SGF 2009 Tips and Techniques for Analytic Web Services Daniel Jahn,
Bradley W. Klenz		 source 16
SGF 2009 Using SAS Clinical Data Integration Server to Implement and Manage CDISC Standards Michael Kilhullen source 7
SGF 2009 Using SAS to Build the Managed Care Data Warehouse at Community Care Behavioral Health Organization Mary Doyle,
Qingfeng Liang,
Gretchen Ciocco,
Michele Mesiano,
Shouqiang Wang		 source 8
SGF 2009 Visual Guide to SAS Web Application Development: Techniques and Methodologies for Efficient Web Application Development for SAS Sy J. Truong source 18
WUSS 2008 Comparing efficiency of cross validated partial least squares regression and ridge regression models in predicting spatial variability of total nitrogen concentration in Truckee River, Nevada. Anpalaki J. Ragavan source 13
WUSS 2008 Missing by Design: Questionnaire Skip Logic Kathryn A. Valdes source 17
WUSS 2008 Simple and Effective Way to Validate Clinical Graphs Rajesh Venkkataram source 10
WUSS 2008 You've Just Bought a Data Warehouse. Now What? Stanley E. Fogleman source 6
SCSUG 2008 Optimizing Marketing Campaign ROI through Process Automation Tariq S. Jaffery,
Shirley Liu,
Rick Vela		 5
SESUG 2008 Architecting a Regulatory Compliant Macro Library Using SAS Drug Development Virginia Redner,
Margaret M. Coughlin		 source 5
SESUG 2008 Parameter-Driven Data Validation and Transformation Or The Marriage of Microsoft Excel and SAS Macro Variables to Solve ETL Problems Hugh Shinn,
Wanda Hopkins		 source 17
PHUSE EU 2008 An approach to Version Control with SAS John Woods,
Paul Crean		 source 12
PHUSE EU 2008 Automated table generation: The macro SAS %GEEWHIZ Guido Wendland source 12
PHUSE EU 2008 Automating Production of Validation Documentation Tangi Sanséau source 10
PHUSE EU 2008 Being a lead programme in ac CRO:Is it better or worse than in a pharma company? Alex Grigg source 5
PHUSE EU 2008 CDISC Implementation Strategies: Exploit your data assets while still giving the FDA what they want David Smith source 9
PHUSE EU 2008 Decimaker: A statistical software using R, Microsoft .NET, R (D)COM Server and graphical libraries Julien Vanwinsberghe,
Francois Vandenhende		 source 10
PHUSE EU 2008 Developing a clinical reporting system collaboratively under an Open Source software license. Ann Marie Martin source 7
PHUSE EU 2008 ETL and Data Quality: Which Comes First? Gregory S. Barnes Nelson,
Emilio J. Power		 source 10
PHUSE EU 2008 Metrics Unleashed II: Measuring Productivity or Inspiring Artisans Gregory S. Barnes Nelson,
Mark Matthews		 source 7
PHUSE EU 2008 Modelling in Excel, How to Teach an Old Dog, New Tricks Paul Shannon source 10
PHUSE EU 2008 Risk Based Approach Applied to the Validation of Report Objects Christoph Ziegler source 8
PHUSE EU 2008 SAS macros for S-PLUS Clinical Graphics within a Production Reporting Environment Sven Jesper Knudsen,
Charlie Roosen		 source 4
PHUSE EU 2008 SHARE - A Reporting System for Efficacy Outputs using SAS Macro Vinod Kaippillil Mukundaprasad source 9
PHUSE EU 2008 Spot the Difference Anja Feuerbacher,
Beate Hientzsch		 source 13
PHUSE EU 2008 The application of SDTM in a disease (oncology)-oriented organization Angelo Tinazzi,
Enrica Paschetto		 source 8
PHUSE EU 2008 Using SAS Enterprise Guide Add-In to Enable Guided Statistics Bas van Bakel source 9
PHUSE EU 2008 Validation of Clinical Output: More Quality with Less Effort Jules Van der Zalm source 7
MWSUG 2008 Classification of Breast Cancer Cells Using JMP Marie Gaudard 34
MWSUG 2008 Global Clinical Data Classification: A Discriminate Analysis Amurthur Ramamurthy,
Gordon Kapke,
Jodi Yoder		 16
MWSUG 2008 The Difference Between Predictive Modeling and Regression Patricia B. Cerrito 19
PNWSUG 2008 Fast and Efficient Updates to Project Deliverables: The Unix/GNU Make Facility as a Cross-Platform Batch Controller for SAS Stephen Hunt 12
PNWSUG 2008 Introduction to Clinical Trials in Pharmaceutical Industry - From a SAS Programmer's Point of View [presentation] Wenyun Ji 19
PNWSUG 2008 New in SAS 9.2: It's the Little Things that Count Diane Olson 7
PNWSUG 2008 Stopping Stepwise: Why Stepwise and Similar Selection Methods Are Bad, and What You Should Use David L. Cassell 7
NESUG 2008 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio 16
NESUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
NESUG 2008 Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 Weijie Cai 14
NESUG 2008 Look Ma, No Hands! Or How We Move SAS Into Microsoft Excel With No Manual Intervention John J. Cohen 6
NESUG 2008 Multiple Adverse Event Tables without Surgical Intervention Adel Fahmy,
Carol Matthews		 11
NESUG 2008 Transitioning to SAS Enterprise Guide Michael Todd 8
PharmaSUG 2008 Approximate Simultaneous Nonparametric Confidence Intervals for All Pair-Wise Comparisons and Comparisons with a Designated (Control) Group in a One-Way Layout Using the SAS System Paul Juneau,
Aditya Sikka,
Jiawei Qiao,
Michelle Gayari		 19
PharmaSUG 2008 Building the Better Macro: Best Practices for the Design of Reliable, Effective Tools Frank C. DiIorio 16
PharmaSUG 2008 Case Study: Analysis and Metrics of End-to-End Legacy Data Conversions into SDTM, ADaM, and Define.xml Robert T. Stemplinger 5
PharmaSUG 2008 CHECKERS, We are Keeping the Table Joseph J. Hantsch 7
PharmaSUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
PharmaSUG 2008 ETL and Data Quality: Which Comes First? Emilio J. Power,
Gregory S. Barnes Nelson		 10
PharmaSUG 2008 Experiences Submitting CDISC SDTM and Janus Compliant Datasets Carol Vaughn,
Gregory Ridge,
William Friggle		 10
PharmaSUG 2008 Fast and Efficient Updates to Project Deliverables: The Unix/GNU Make Facility as a Cross-Platform Batch Controller for SAS Make Facility 12
PharmaSUG 2008 Hassle-Free Presentation Quality Tables for Epidemiology Research Claire Chiang,
Sue Su		 17
PharmaSUG 2008 Innovative Techniques and Tools to Detect Data Quality Problems Hong Qi,
Allan Glaser		 8
PharmaSUG 2008 Managing Operational Challenges for Interim Analyses Mei Dey 10
PharmaSUG 2008 Managing The Change And Growth Of A Metadata-Based System Jeffrey M. Abolafia,
Frank C. DiIorio		 11
PharmaSUG 2008 Read Titles and Footnotes from a Table Shell into a SAS Dataset Daniel Huang,
Lois Lynn		 6
PharmaSUG 2008 SAS, CDISC and Clinical Data Integration Peter Villiers 27
PharmaSUG 2008 SHARE - A Reporting System for Efficacy Outputs using SAS Macro Axel Muehlig 12
PharmaSUG 2008 Strategies for Building an Effective Relationship with a Contract Research Organization Jackie Lane 3
PharmaSUG 2008 Using Automated File Comparisons to Increase Efficiency and Accuracy in SAS Code Development & Validation Jasmin Fredette 13
PharmaSUG 2008 Validating CDISC SDTM-Compliant Submission-Ready Clinical Datasets with an In-House SAS Macro-Based Solution Bhavin Busa,
Sheila Vince,
Jameelah Aziz		 12
SGF 2008 Adventures in ODS: Producing Customized Reports Using Output from Multiple SAS Procedures Stuart D. Long,
Jeffrey M. Abolafia,
Lawrence Park		 source 23
SGF 2008 Applying SAS Mixed-Model Procedures to Educational-Assessment Data Brian Patterson source 8
SGF 2008 Automated Unit Testing for SAS Applications David A. Scocca source 12
SGF 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta source 15
SGF 2008 Coming to a Theater Near You! Sentiment Classification Techniques Using SAS Text Miner Jake Bartlett,
Russell Albright		 source 9
SGF 2008 CSI: San Antonio - Common SAS Issues in Our Programs and Tips for Better Investigation of Your SAS Code Rachel Brown,
Jennifer K. Fulton		 source 9
SGF 2008 Employing SAS Text Miner Methodology to Become a Customer Genius in Customer Churn Prediction and Complaint E-mail Management Kristof Coussement source 12
SGF 2008 ETL and Data Quality: Which Comes First? Emilio J. Power,
Gregory S. Barnes Nelson		 source 10
SGF 2008 Fast and Efficient Updates to Project Deliverables: The UNIX and GNU Make Facility as a Cross-Platform Batch Controller for SAS Brian P. Fairfield-Carter,
Stephen Hunt		 source 12
SGF 2008 Fitting Generalized Additive Models with the GAM Procedure in SAS 9.2 Weijie Cai source 14
SGF 2008 Implementing a Customer Retention, Cross-Sell, Up-Sell, and Payment Risk Solution Using SAS Telecommunications Intelligence Solutions for Orange Dominicana Carmelina Collado,
Daniel Demonchy,
Marcos Arancibia,
Al Cordoba		 source 9
SGF 2008 In Search for a Golden Algorithm Tamara S. Slipchenko,
Candice Bowman,
Catherine Sugar,
Allen L. Gifford		 source 9
SGF 2008 It's 9:00 AM: Do You Know Where Your Critical Talent Is? Retention Analytics for Human Capital Management Lynn Creecy,
Bradley W. Klenz		 source 11
SGF 2008 Managing The Change And Growth Of A Metadata-Based System Jeffrey M. Abolafia,
Frank C. DiIorio		 source 11
SGF 2008 New in SAS 9.2: It's the Little Things that Count Diane Olson source 7
SGF 2008 Oracle Clinical for SAS Programmers Kevin Lee source 8
SGF 2008 Practical Methods for Creating CDISC SDTM Data Sets from Existing Data Robert W. Graebner source 11
SGF 2008 Put Your Customers on the Map: Integrating SAS/GRAPH and Google Earth Daniel Kuiper,
Koen Vyverman		 source 20
SGF 2008 Reinventing a Legacy System with SAS, the Web, and OLAP Reporting Andrew P. Ford,
Shiva Srinivasan,
Troy B. Wolfe		 source 12
SGF 2008 Stupid Human Tricks with PROC SURVEYSELECT David L. Cassell source 5
SGF 2008 The Evolution of SAS in Life Sciences Research and Development David Handelsman source 10
SGF 2008 Understanding Your Customer: Segmentation Techniques for Gaining Customer Insight and Predicting Risk in the Telecom Industry Glendon Cross,
Wayne Thompson		 source 14
SGF 2008 Use of SAS based Statistical Techniques to Develop Robust Data Sets for Credit Models Sanjay Gupta source 10
SGF 2008 Using SAS Enterprise Miner to Prescribe a Pre-Screen Mailing Rex Pruitt source 6
SGF 2008 Using Text Mining to Classify Requests and Prepare Semiautomatic Answers Wolfgang Himmel,
Ulrich Reincke,
Hans W. Michelmann		 source 8
SGF 2008 You've Just Bought a Data Warehouse. Now What? Stanley E. Fogleman source 5
NESUG 2007 Metadata 101: A Beginner's Guide to Table-Driven Applications Programming Frank C. DiIorio 11
NESUG 2007 Oracle Clinical for the SAS Programmer Kevin Lee 9
NESUG 2007 Reinventing a Legacy System with SAS, the Web, and OLAP Reporting Andrew P. Ford,
Troy B. Wolfe,
Shiva Srinivasan		 15
NESUG 2007 Standardized Data Set Transformations to Map a Tabular Output Table to a Data Set Frederick A. Cieri 5
NESUG 2007 Stopping Stepwise: Why Stepwise and Similar Selection Methods Are Bad, and What You Should Use Peter Flom,
David L. Cassell		 7
NESUG 2007 Using PROC PLS (Partial Least Squares) to Build a Gene Prognosis Profile Chenwei Liu 5
NESUG 2007 Workforce Preparation: Equipping Undergraduates with SAS Knowledge Stephanie R. Thompson 4
NESUG 2007 You've Just Bought a Data Warehouse. Now What? Stanley E. Fogleman 4
SESUG 2007 Data Quality Management, Data Cleansing, and Discrepancy Reporting Jenine Milum source 9
SESUG 2007 Managing Your SAS Data Warehouse Project From Design to Delivery Linda S. Sullivan source 6
SESUG 2007 SSN validation - Virtually at no cost Milorad Stojanovic source 6
MWSUG 2007 Analyzing Survey Data Using Decision Trees Morgan C. Wang 25
MWSUG 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Chu 10
MWSUG 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga 20
MWSUG 2007 Using Data Mining Techniques to Predict Student Development and Retention Morgan C. Wang 59
WUSS 2007 Auto-Attributes: No More Typing of Variable Labels (and Other Attributes) Jonathan M. Squire,
Johnny Tai		 source 7
WUSS 2007 Case Study: Development of an HIV casefinding algorithm with SAS Enterprise Miner Tamara Slipchenko,
Candice Bowman,
Yuexin (Cindy) Chen,
Catherine Sugar,
Allen L. Gifford		 source 9
WUSS 2007 Data Mining Using SAS Enterprise Miner Randall Matignon source 10
WUSS 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
WUSS 2007 Validation Techniques in Clinical Trails Using SAS Enterprise Guide Venkata R. Darbha source 8
PHUSE EU 2007 All roads lead to SDTM - which one shall we take? Ian Fisher,
Donna Thompson		 source 9
PHUSE EU 2007 Check for SAS files consistency Arnaud Dauchy source 29
PHUSE EU 2007 Clinical data standards and automation Giri Balasubramanian source 11
PHUSE EU 2007 Considerations for CDISC Implementation Robert T. Stemplinger,
Jackie Lane		 source 4
PHUSE EU 2007 Electronic record validation Erik Leijskens,
Sini Marant		 source 2
PHUSE EU 2007 MAKS: A validated SAS Macro Library for data in SDTM structure Rolf Meinert,
Katrin Bhalla-Muller		 source 3
PHUSE EU 2007 Method Validation in a PAT Environment using a SAS EG Addin Robert Eric Huisden source 6
PHUSE EU 2007 SASMAX - Maximise potential of reusing SAS code Beate Hientzsch source 9
PHUSE EU 2007 The perfect reporting system - theoretically Laura Phelan,
Magnus Mengelbier		 source 7
PHUSE EU 2007 Validation of programs developed using SAS Nikos Tsokanas source 7
PHUSE EU 2007 Web-enabling the Pharmaceutical sector Raymond Ebben,
Jules Van der Zalm		 source 14
PNWSUG 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell 18
PharmaSUG 2007 A Review of Propensity Score Application in Healthcare Outcome and Epidemiology Guiping Yang 24
PharmaSUG 2007 A Scalable Platform For Clinical Trials - Interoperability And Automation In A Web-Based Environment John R. Gerlach,
Maulik Shah		 11
PharmaSUG 2007 Architecting a Regulatory Compliant Macro Library Using SAS Drug Development Virginia Redner,
Margaret M. Coughlin		 6
PharmaSUG 2007 Best Practices for Working with CDISC Metadata in the SAS Data Integration Server Michael Kilhullen 10
PharmaSUG 2007 Can Change Control Be as Easy as a Right Mouse Click? Sy J. Truong 9
PharmaSUG 2007 CDISC Implementation Step by Step: A Real World Example Sy J. Truong 19
PharmaSUG 2007 Considerations for CDISC Implementation Robert T. Stemplinger 4
PharmaSUG 2007 CSI - Denver: Common SAS Issues in Our Programs and Tips for Better Investigation of Your SAS Code Rachel Brown 9
PharmaSUG 2007 Customizing SAS Data Integration Studio to Generate CDISC Compliant SDTM 3.1 Domains Tatyana Kovtun,
John Markle,
Christopher Treglio		 12
PharmaSUG 2007 Developing Reporting & Analysis Methodologies Amy Gillespie,
Mary N. Varughese		 5
PharmaSUG 2007 From CRF Data to DEFINE.XML: Going "End to End" with Metadata Frank C. DiIorio,
Jeffrey M. Abolafia		 20
PharmaSUG 2007 Implementing CDISC Data Models in the SAS Metadata Server Michael Kilhullen 7
PharmaSUG 2007 Programming Tips and Examples for Your Toolkit, III John Morrill 12
PharmaSUG 2007 Saving QC Time for Production Tables Linfeng Xu,
Sunil Kumar Gupta		 10
PharmaSUG 2007 The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets Marcus Bloom,
David Edwards		 15
PharmaSUG 2007 Three-Step Table Validation Yang Chen 7
PharmaSUG 2007 Using the SAS Information Delivery Portal in the Pharmaceutical Sector Raymond Ebben 12
SGF 2007 Best Practices for Managing Predictive Models in a Production Environment Robert Duling,
David M. Thompson,
Wayne Chu		 source 10
SGF 2007 Don't Be Loopy: Re-Sampling and Simulation the SAS Way David L. Cassell source 18
SGF 2007 Identifying and Overcoming Common Data Mining Mistakes Doug Wielenga source 20
SGF 2007 Integration of webAF and Table-Driven Methodology Shelly Yiu-Morrison source 11
SGF 2007 SAS Data Integration Studio and SAS Macro - Working in Harmony for Data Warehousing Projects Tatyana Kovtun source 10
SGF 2007 The Art of Code Validation Mindy S. Steffens,
Gregory C. Rodgers		 source 5
SGF 2007 The Electronic Project: Effectively Using Metadata throughout the Project Life Cycle Jeffrey M. DiIorio,
Frank Abolafia		 source 18
SGF 2007 Using PROC FORMAT for Data Validation and Clean-Up Christianna S. Williams source 14
SGF 2007 Workforce Preparation: Equipping Undergraduates with SAS Knowledge Stephanie R. Thompson source 4
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
MWSUG 2006 A Picture is Worth a Thousand Data Points: Using SAS Arrays, LAG Functions and ODS to Create a Flexible Survey Interviewer Tracking Chart Joe Murphy 9
MWSUG 2006 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 10
MWSUG 2006 SAS Enterprise Guide Custom Tasks Alex Dmitrienko 7
SCSUG 2006 Basics of Modeling in a Data Mining Context Keith Cranford 8
PHUSE EU 2006 Base SAS vs. SAS Data Integration Studio: Understanding ETL and the SAS Tools Used to Support It Danny Grasse,
Gregory S. Barnes Nelson		 source 20
PHUSE EU 2006 Interfering with Data Management by the Statistician Jim Groeneveld source 6
PHUSE EU 2006 Is your output telling you the truth? Tips and Tricks in verifying SAS Outputs Angelo Tinazzi,
Sonia Colombini		 source 7
PHUSE EU 2006 Metrics Unleashed: Measuring Productivity or Inspiring Artisans Neil Howard,
Gregory S. Barnes Nelson		 source 10
PHUSE EU 2006 SAS macro validation criteria Jim Groeneveld source 18
PHUSE EU 2006 The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets David Edwards,
Marcus Bloom		 source 6
PHUSE EU 2006 Using the SAS Information Delivery Portal in the Pharmaceutical Sector Raymond Ebben source 12
PHUSE EU 2006 Why Safety Reporting IS like Rocket Science David J. Garbutt source 3
SESUG 2006 Collect, Clean, Conquer - A Field Guide to Surviving Master Data Clean-up Jessica Baldwin-Finke source 4
SESUG 2006 Data Warehouse Implementation: Where We Are 1 Year Later Evangeline Collado source 8
SESUG 2006 One Method for Improving Quality of Data in Longitudinal Study Milorad Stojanovic,
Ruth Heuer		 source 6
SESUG 2006 Perl Regular Expressions in SAS Kevin McGowan source 7
SESUG 2006 Stars and Models: How to Build and Maintain Star Schemas Using SAS Data Integration Server in SAS9 Nancy A. Rausch source 24
SESUG 2006 The BEST. Message in the SASLOG Andrew T. Kuligowski source 4
WUSS 2006 Changing Careers to Become a SAS Programmer in the Biotech/Pharmaceutical Industry Sy J. Truong source 9
WUSS 2006 Find the Best Prospects for a New Product by Using a Data Mining Model Ting Wu source 8
WUSS 2006 Have It Both Ways: Macros that Produce Publication-Quality Tables and Stand-alone Code Linda Collins,
Lisa Kaye Brooks,
Michael Rea,
Alan Hopkins		 source 19
WUSS 2006 PROC SQL: A Powerful Tool to Improve Your Data Quality Keh-Dong Shiang source 10
WUSS 2006 Step by Step PROC CDISC and More Sy J. Truong source 19
WUSS 2006 What's New in Data Quality? Pat M. Herbert source 6
NESUG 2006 Developing and Managing a SAS Macro Library Carolyn Maass,
Margaret James,
Ginger Redner		 8
NESUG 2006 Exporting & Importing Datasets & Catalogs: Utility Macros Adel Fahmy 12
NESUG 2006 The National Occupational Respiratory Mortality System: Deployment of SAS/IntrNet Application Dispatcher Queries Using SAS Component Language (SCL) Macros John Wood 10
NESUG 2006 Tips and Traps in Large Scale Clinical Trials Changhong Shi 4
NESUG 2006 Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen 8
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 Base SAS vs. SAS Data Integration Studio: Understanding ETL and the SAS Tools Used to Support It Danny Grasse,
Gregory S. Barnes Nelson		 20
PharmaSUG 2006 CDISC Implementation, Real World Applications Sy J. Truong 26
PharmaSUG 2006 Developing and Managing a SAS Macro Library Margaret James,
Carolyn Maass,
Ginger Redner		 7
PharmaSUG 2006 External Data Utility (EDU), a SAS Tool to Manage Data from Acquisition to Database Release Margaret Hung,
Mohit Goel,
Sheila Moody		 11
PharmaSUG 2006 Good Programming Practices in Clinical Trial - a Check Program John H. Adams 12
PharmaSUG 2006 HIRE Power in the Pharmaceutical Industry Neil H. Howard 13
PharmaSUG 2006 Human Efficiency: A Factor That Can't Be Ignored When Designing a SAS Macro Michele Zhang,
Blue Bell		 8
PharmaSUG 2006 Implementing CDISC Data Models in the SAS Metadata Server Michael Kilhullen 7
PharmaSUG 2006 Implementing SAS using Microsoft Windows Server and Remote Desktop Paul M. Gilbert,
Steven Light		 5
PharmaSUG 2006 Macros to Create Quality Control (QC) Documents Xiaoyu (Sean) Liu,
Hong (Ellen) Xiao		 13
PharmaSUG 2006 Macros to Create Quality Control (QC) Documents Xiaoyu (Sean) Liu,
Hong (Ellen) Xiao		 13
PharmaSUG 2006 SAS and VMware to Create an Environment for Computer Systems Validation in a Pharmaceutical Company Wayne F. Woo 5
PharmaSUG 2006 SAS Drug Development: Bringing Innovation to Life Sciences David Handelsman 12
PharmaSUG 2006 Specifications for Derived Data (Or, Would You Build a House Without Prints?) Richard Weisman 11
PharmaSUG 2006 Streamlining Specimen/Label Shipment Process Christina Carty,
Elizabeth R. Spence		 7
PharmaSUG 2006 Techniques for Creating Reviewer-Friendly SAS Programs Mario Widel 6
PharmaSUG 2006 The Skinny on Processing Very Large Health Claims Data Sets Gopal Rajagopal,
Blue Bell		 10
PharmaSUG 2006 Transforming Business Requirements into System Solutions Yongcun Zhang 10
PharmaSUG 2006 Using SAS ETL Studio to Convert Clinical Trials Data to the CDISC SDTM Barry R. Cohen 10
SUGI 2006 %DataAutoSum: A SAS Macro for Automatically Producing a Customized Clinical Data Summary Report Deqing Pei,
Cheng Cheng		 source 8
SUGI 2006 A Strategy for Managing Data Integrity Using SAS Brett J. Peterson source 9
SUGI 2006 Base SAS vs. SAS Data Integration Studio: Understanding ETL and the SAS Tools Used to Support It Danny Grasse,
Gregory S. Barnes Nelson		 source 20
SUGI 2006 Data Profiling Using Base SAS Software: A Quick Approach to Understanding Your Data Susan J. Nowlin source 8
SUGI 2006 Developing, Managing, and Evaluating a Standard Macro System Albert Mo source 10
SUGI 2006 Exploring Alternative Predictive Modeling Techniques to Strengthen the Customer Relationship David Bordeleau source 5
SUGI 2006 Introducing the GLMSELECT Procedure for Model Selection Robert A. Cohen source 18
SUGI 2006 Investigating Open Source Project Success - A Data Mining Approach to Model Formulation, Testing and Validation Uzma Raja,
Marietta J. Tretter		 source 7
SUGI 2006 PROC SQL: A Powerful Tool to Improve Your Data Quality Keh-Dong Shiang source 10
SUGI 2006 Reading Microsoft Word XML Files with SAS Larry Hoyle source 10
SUGI 2006 SAS and VMware to Create an Environment for Computer Systems Validation in a Pharmaceutical Company Wayne F. Woo source 5
SUGI 2006 SAS Applications Introduced into China Customs Bin Fang source 6
SUGI 2006 Stars and Models - How to Build and Maintain Star Schemas Using SAS ETL Server Nancy A. Rausch source 24
SUGI 2006 Stay in Control of Your SAS Environment Vijayanand Rajandram source 8
SUGI 2006 Version Control on the Cheap. A User-Friendly, Cost-Effective Revision Control System for SAS Tim P. Williams source 10
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
PNWSUG 2005 A Data Quality Community of Practice Donnalee Brown 8
PNWSUG 2005 Moving XML Files within SAS and Maintaining Segment Hierarchy Sarmad Pirzada 6
PNWSUG 2005 PRX Functions and CALL Routines David L. Cassell 15
PNWSUG 2005 Using Datastep programming and Proc SQL in SAS To calculate daily hospital occupancy Renu Gehring,
Rajiv Sharma		 11
SESUG 2005 Automated Excel-lent Validation Janet E. Stuelpner source 9
SESUG 2005 HIRE POWER Neil H. Howard source 11
SESUG 2005 Preemptive DATA CLEANING: Techniques Malachy J. Foley source 13
SESUG 2005 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2005 Simplify Existing Projects with Ideas from Data Warehousing Rick Aster source 6
SESUG 2005 The BEST. Message in the SASLOG Andrew T. Kuligowski source 3
SESUG 2005 Use a SAS Database Search Engine Instead of Writing a Program Eugene Yeh source 10
SCSUG 2005 Preemptive DATA CLEANING: Techniques Malachy J. Foley 9
PHUSE EU 2005 Analysis of Pharmacokinetic Data : Using SAS to Create an Autonomous Environment for the Pharmacokineticist Stephen Prust source 7
PHUSE EU 2005 Analysis of Pharmacokinetic data: using SAS to create an autonomous environment for the Phamacokineticist Stephen Prust source 1
PHUSE EU 2005 Complex Laboratory Data, Strategies and Tools for a Way out of the Maze Benjamin Szilagyi,
Christof Binder		 source 4
PHUSE EU 2005 Consistent Variables + Consistent Checks = Cleaner Data Greg Silva source 5
PHUSE EU 2005 Customer oriented CDISC implementation Edelbert Arnold,
Ulrike Plank		 source
poster source		 13
PHUSE EU 2005 Implementing CFR 21 part 11 for SAS without tears or joins David J. Garbutt source 14
PHUSE EU 2005 Implementing CFR 21 part 11 for SAS without tears or joins David J. Garbutt source 14
PHUSE EU 2005 Integrating SAS With Open Software in a Validated Drug Safety Environment Jeremy Fletcher source 48
PHUSE EU 2005 Migration of a Flexible Reporting System from SAS 6.12 to SAS 9.1.3 - A project experience Raymond Ebben source 12
PHUSE EU 2005 QualityView - a SAS program database and validation documentation tool Peter Gerber,
Michael Ludwig		 source 12
PHUSE EU 2005 Regulatory Compliant Validation and Deployment of SAS Programs with the Colibri Server Andreas Mangold source 7
PHUSE EU 2005 SAS Dataset Content Conversion to CDISC Data Standards Anthony L. Friebel source 9
PHUSE EU 2005 Technical application of SAS ETL Studio in the clinical reporting process David Smith source 8
PHUSE EU 2005 The European System for Monitoring Drug Safety, EudraVigilance Hans-Georg Wagner,
Olivier Simoen		 source 13
PHUSE EU 2005 What SAS is doing for the FDA's Critical Path Initiative? Andrew T. Fagan source 20
MWSUG 2005 Comparison Of Enterprise Miner And SAS/STAT For Data Mining Patricia B. Cerrito 12
MWSUG 2005 Information Discovery Using Decision Trees Morgan C. Wang 79
MWSUG 2005 SAS Enterprise Guide in Pharmaceutical Applications: Automated Analysis And Reporting Alex Dmitrienko 9
MWSUG 2005 SAS Enterprise Guide: Introduction To Stored Processes And Custom Tasks Alex Dmitrienko 7
WUSS 2005 A Comparison of Missing Data Handling Methods Catherine Truxillo source 20
WUSS 2005 A Regulatory Compliant Process for Developing SAS-Based Reports Chuck Reap source 15
WUSS 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
WUSS 2005 Validating Your SAS Systems Sy J. Truong source 12
NESUG 2005 A Time Machine: Using SAS Macros Adel Fahmy 13
NESUG 2005 HIRE POWER Neil H. Howard 11
PharmaSUG 2005 %SETUP - A Utility Macro to Build Directory Structures and a SAS Initialization Program Guowei Wu 7
PharmaSUG 2005 A Dynamic SAS/IntrNet Example with Help of ASP and JavaScript: Online Clinical Trial Randomization List Generator Sijian Zhang,
Mark Carpenter,
Michael Windle		 6
PharmaSUG 2005 A Log File Parser that Creates Data Mappings John W. Kaye 3
PharmaSUG 2005 A Simple Solution for Managing the Validation of SAS Programs That Support Regulatory Submissions Tony Chang,
Dana Soloff		 6
PharmaSUG 2005 A Simple, Inexpensive Solution to the Dilemma of SAS Training Erin M. Christen 4
PharmaSUG 2005 Automated Excel-lent Validation Janet E. Stuelpner 9
PharmaSUG 2005 Benefits of Validating SAS Systems in a Regulated Environment Sy J. Truong 8
PharmaSUG 2005 Consistent Variables + Consistent Checks = Cleaner Data Greg Silva 5
PharmaSUG 2005 How is Outsourcing Going to Affect SAS Programming? Thu-Thuy Truong,
Sy J. Truong		 7
PharmaSUG 2005 Implementation of the CDISC SDTM at the Duke Clinical Research Institute Jack Shostak 12
PharmaSUG 2005 Managing a SAS Programming Environment Using Data Access Pages and the Microsoft Office Data Source Control Brian P. Fairfield-Carter 12
PharmaSUG 2005 Quality Testing for Programs Used in Regulatory Submission Xiaohui Wang,
Elaine Czarnecki		 4
PharmaSUG 2005 Risk-Based Approach to SAS Program Validation Keith C. Benze 7
PharmaSUG 2005 SAS Dataset Content Conversion to CDISC Data Standards Anthony L. Friebel,
Thomas Cox,
Edward D. Helton		 10
PharmaSUG 2005 Statistical Table Specifications and Automatic Code Generation using XML Alan Hopkins,
Linda Collins		 7
PharmaSUG 2005 Strategies for Implementing SDTM and ADaM Standards Susan J. Kenny,
Michael A. Litzsinger		 8
PharmaSUG 2005 The Power of PROC SQL Techniques and SAS Dictionary Tables in Handling Data MaryAnne DePesquo Hope 6
PharmaSUG 2005 To Macro or Not To Macro? Amy Gillespie,
Blue Bell		 8
PharmaSUG 2005 Validating Data Using SAS Formats as a Programming Tool John R. Gerlach 11
SUGI 2005 A Proportional Hazards Approach to Campaign List Selection Charles Manahan source 7
SUGI 2005 A Regulatory Compliant Process for Developing SAS-Based Reports Chuck Reap source 15
SUGI 2005 Are You Ready to Roll? SAS9 Implementation Lessons Learned Tim Walters source 7
SUGI 2005 Combining Decision Trees with Regression in Predictive Modeling with SAS Enterprise Miner Kattamuri S. Sarma source 10
SUGI 2005 Data Profiling: Designing the Blueprint for Improved Data Quality Brett Dorr,
Pat M. Herbert		 source 10
SUGI 2005 Decision Tree Validation: A Comprehensive Approach Sylvain Tremblay source 8
SUGI 2005 Implementing Data Warehousing and Business Intelligence at McMaster University Using the SAS Intelligence Value Chain Debbie Weisensee,
Eric Matthews,
Anne McInnis		 source 10
SUGI 2005 Integration of SAS Data Warehousing/Mining and Enterprise Collaboration and Data Aquisition Portals with ESRI-Based Geographic Information Systems and Public Sector Business Systems William S. Holland source 14
SUGI 2005 Managing a SAS Programming Environment Using Data Access Pages and the Microsoft Office Data Source Control Brian P. Fairfield-Carter source 10
SUGI 2005 Maximum Likelihood Parameter Estimation with Incomplete Data Catherine Truxillo source 19
SUGI 2005 Model Building in PROC PHREG with Automatic Variable Selection and Information Criteria Emily M. Cain,
Ken Kleinman,
Ernest S. Shtatland		 source 10
SUGI 2005 Producing Multipurpose Metadata for Data Quality and a Data Dictionary John E. Bentley source 19
SUGI 2005 PRX Functions and CALL Routines David L. Cassell source 15
SUGI 2005 Simplify Existing Projects with Ideas from Data Warehousing Rick Aster source 6
SUGI 2005 Software Testing Fundamentals-Concepts, Roles, and Terminology John E. Bentley source 12
SUGI 2005 Structured Neural Network Techniques for Modeling Loyalty and Profitability Carl Lee,
Tim Rey,
James W. Mentele,
Michael Garver		 source 13
NESUG 2004 A Guide to Understanding Web Application Development Raj Singh 17
NESUG 2004 Clinical Trial Data Validation: Using PROC SQL Effectively Balakrishna Dandamudi 20
NESUG 2004 Program Validation: Logging the Log Adel Fahmy 8
NESUG 2004 SAS MACROS: Offer the Best Dating Service Adel Fahmy 9
NESUG 2004 Using PROC FORMAT for Data Validation and Clean-Up Christianna S. Williams 10
SCSUG 2004 A Guide to Understanding Web Application Development Corey Benson,
Robert Girardin		 17
SCSUG 2004 Data Quality and Base SAS Clarence W. Jackson 6
SCSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 17
SESUG 2004 1 Matching SAS Data Sets: If at First You Don't Succeed, Match, Match Again Imelda C. Go source 10
SESUG 2004 8 Characteristics of a Successful Data Warehouse Marty Brown source 5
SESUG 2004 A Hiker's Guide to Web Development Steve James source 10
SESUG 2004 Binary Logistic Regression Model Optimization Jerry Musial source 6
SESUG 2004 Exceptional Exception Reports Gary M. McQuown source 10
SESUG 2004 Software Testing Fundamentals-Concepts, Roles, and Terminology John E. Bentley source 12
WUSS 2004 A Guide to Understanding Web Application Development Corey Benson,
Robert Girardin		 source 17
WUSS 2004 Making Code Review Painless Sy J. Truong source 5
WUSS 2004 Matching without Unique Identifiers - Fuzzy Matching Applications with SAS Software Wade Bannister source 4
WUSS 2004 Next Generation Data Warehousing with SAS 9 Gary Mehler source 10
WUSS 2004 SAS Data Quality - A Technology Overview Eric Hunley source 13
WUSS 2004 SAS Programming for the Pharmaceutical Industry Brian C. Shilling,
Carol Matthews		 source 4
WUSS 2004 The Automatic Detection of Problems in the SAS Log MaryAnne DePesquo Hope source 4
WUSS 2004 Validating Data Via PROC SQL Keh-Dong Shiang source 7
MWSUG 2004 Exceptional Exception Reports Gary M. McQuown 10
MWSUG 2004 Let SASHELP help you - Easy Ways SAS Can Help you with Your Dynamic Programming and Validation Stacey D. Phillips,
Gary Klein		 7
MWSUG 2004 Using SAS Enterprise Guide to Automate and Customize Statistical Analyses for Pharmaceutical Data Alex Dmitrienko,
Cindy Lee		 6
PNWSUG 2004 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
PharmaSUG 2004 A Guide to Understanding Web Application Development Corey Benson 17
PharmaSUG 2004 Customizing Clinical Data Warehouse for Business Intelligence An analyst's view Haibin Shu Barr 8
PharmaSUG 2004 Developing and Deploying Java Applications Around SAS: What They Didn't Tell You in Class Jeff Wright 10
PharmaSUG 2004 eCTD - A New Standard for FDA Electronic Submission Shawn Wang 11
PharmaSUG 2004 Effective Ways of Validating SAS Programs Sy J. Truong 11
PharmaSUG 2004 Organizing and Building a Centralized SAS Macro Library Snow Fu,
James Wu		 4
PharmaSUG 2004 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 14
PharmaSUG 2004 Programming Squared (Writing Programs that Write Programs) James R. Johnson 12
PharmaSUG 2004 SASUnit: Automated Testing for SAS Gregory S. Barnes Nelson 15
PharmaSUG 2004 The Implementation of Automatic Obvious Data Modifications (ODMs) on Late Phase Trials Using SAS PROC SQL Kathleen Kushner,
Philip Pellicone		 6
PharmaSUG 2004 Version Control on the Cheap. A User-Friendly, Cost-Effective Revision Control System for SAS Tim P. Williams 11
SUGI 2004 8 Characteristics of a Successful Data Warehouse Martin Brown source 6
SUGI 2004 A Guide to Understanding Web Application Development Corey Benson,
Robert Girardin		 source 18
SUGI 2004 A Hiker's Guide to Web Development Steve James source 13
SUGI 2004 A New Strategy of Model Building in SAS PROC LOGISTIC with Automatic Variable Selection, Validation, Shrinkage, and Model Averaging Ernest S. Shtatland,
Ken Kleinman,
Emily M. Cain		 source 11
SUGI 2004 A Practical Approach to Transferring Data from Microsoft Excel to SAS in Pharmaceutical Research Hong Qi source 8
SUGI 2004 Balancing Data Quality Against Time and Money Constraints Susan B. Long,
Linda Roberge,
Jeff Lamicela,
Mummoorthy Murugesan		 source 18
SUGI 2004 Business Views of Building an Actuarial System Using SAS/Warehouse Administrator Dominic Roy,
Josée Genois		 source 9
SUGI 2004 Data Quality Management: The Most Critical Initiative You Can Implement Jonathan G. Geiger source 15
SUGI 2004 Data Quality Solution - A Technical Overview Eric Hunley source 14
SUGI 2004 Designing Validation and Verification Activities as a Staff Development Tool John Gorden source 8
SUGI 2004 Developing and Deploying Java Applications Around SAS: What They Didn't Tell You in Class Jeff Wright,
Gregory S. Barnes Nelson		 source 11
SUGI 2004 Evaluating Hospital Performance: Using SAS ODS to Create a Hospital Scorecard Barbara B. Okerson source 7
SUGI 2004 Make Your Data a Strategic Asset Ken Wright source 8
SUGI 2004 Mrs. Clean Tackles Dirty Data Janet E. Stuelpner source 5
SUGI 2004 Next Generation Data Warehousing with SAS 9 Gary Mehler source 11
SUGI 2004 Real Time Decision Support: Creating a Flexible Architecture for Real Time Analytics Gregory S. Barnes Nelson source 13
SUGI 2004 Throw Away the Paper Trail and Send it by E-Mail Sharon Clanton,
Darlene Davis		 source 4
SUGI 2004 Write Log (%WL) a Production Logging Utility for Data Warehouse Transactional Logs Brett C. Peppe source 5
SUGI 2004 Write SAS Code to Generate Another SAS Program - A Dynamic Way to Get Your Data into SAS Linda Gau source 9
WUSS 2003 Adaptive Regression in SAS/IML David Katz source 5
WUSS 2003 Advanced Analytics with Enterprise Guide Catherine Truxillo,
Stephen McDaniel		 source 9
WUSS 2003 Building The World'S First Antibiotic Datamart Berwick Chan,
Catherine Kehr,
Arnold Yee		 source 6
WUSS 2003 Can Validating SAS Programs Be Fun and Easy? Sy J. Truong source 5
WUSS 2003 Event-Based Programming Using AF/SCL Kevin Graham source 6
WUSS 2003 Snapshots from Hell: Practical Issues in Data Warehousing Tyson Lee source 5
WUSS 2003 Write SAS Code To Generate Another SAS Program -- A Dynamic Way To Get Your Data Into The SAS System Linda Gau source 5
WUSS 2003 You've Been Xed. Some Helpful Standard OS Level and X Windows Configurations for Using SAS Interactively Nick Pászty source 6
SCSUG 2003 Documentation and Accountability: Why Your SAS Programming Projects Can Benefit from Implementing a System Development Life Cycle (SDLC) Jennifer K. Fulton,
Stephen Black		 5
SCSUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski 11
SESUG 2003 A Hiker's Guide to Web Development Steve James source 12
SESUG 2003 A Hybrid Modeling Platform to meet Basel II Requirements in Banking Jeffery Morrision source 8
SESUG 2003 An Analysis Tool for Reviewing Farm Economic Data Using SAS/AF Van Johnson source 7
SESUG 2003 Data-driven Validation Rules: Custom Data Validation Without Custom Programming Don Hopkins source 8
SESUG 2003 Demand for Analysis-Ready Data Sets. An Introduction to Banking and Credit Card Analytics Bikila bi Gwet source 10
SESUG 2003 Developing and Deploying Java Applications Around SAS: What They Didn't Tell You in Class Jeff Wright source 10
SESUG 2003 Identifying Person Duplicates of Short Geographic Distance by Computer Matching Thomas Mule source 10
SESUG 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 11
SESUG 2003 Pruning the SASLOG - Digging into the Roots of NOTEs, WARNINGs, and ERRORs Andrew T. Kuligowski source 10
SESUG 2003 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown source 6
NESUG 2003 A Hiker's Guide to Web Development Steve James 12
NESUG 2003 Generating Custom MS EXCEL Spreadsheets Using ODS Chevell T. Parker 10
NESUG 2003 How to Add a Format Viewer to the SAS Explorer Randy D. Herbison 10
NESUG 2003 Integration of SAS Macros and Web-Based User Interfaces James Wu 5
NESUG 2003 Next Generation Warehousing with Version 9 Gary Mehler 10
NESUG 2003 Practical SAS Methods to Safeguard the SAS Clinical Trial Data Tianshu Li 4
NESUG 2003 PROC MI as the Basis for a Macro for the Study of Patterns of Missing Data Carl E. Pierchala 8
NESUG 2003 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown 6
SEUGI 2003 A SAS data warehouse as a strategic management tool for a small & medium savings bank [presentation] Fabienne Libert source 18
SEUGI 2003 Addressing the challenges of achieving accurate demand forecasts in competitive energy markets [presentation] Nigel Lewis source 37
SEUGI 2003 AstraZeneca Data Migration Project [presentation] David Smith,
Paul Frost		 source 39
SEUGI 2003 Best Practices in Data Warehousing Design and Implementation [presentation] Rein Mertens source 32
SEUGI 2003 Business Intelligence with SAS 9.1 [presentation] Mark Torr source 31
SEUGI 2003 Customer Insight development in Vodafone Italy [presentation] Emanuele Baruffa source 23
SEUGI 2003 Data Mining for Predicting Customer Satisfaction [presentation] Francesco Vivarelli source 35
SEUGI 2003 Making the most of Business Intelligence with SAS Data Quality [presentation] Paul Padley source 37
SEUGI 2003 Metadata Strategies: your guide through the data jungle [presentation] Achim Granzen source 35
SEUGI 2003 Next Generation Warehousing with SAS 9.1 [presentation] Wilbram Hazejager source 39
SEUGI 2003 SAS 9 Architects the Future [presentation] Allan Russell source 60
SEUGI 2003 SAS ETL Studio @ work [presentation] Wilbram Hazejager source 26
SEUGI 2003 The changing role of Business Intelligence and the effect of Packaged Analytical Applications [presentation] Hubert Wentzel source 27
SEUGI 2003 The Marketing Information System of Banca Mediocredito: a way to improve business analysing potential and served customers [presentation] Fiorenza Tolomei source 29
SEUGI 2003 The Topic Scoring Engine [presentation] Ulrich Reincke source 37
SEUGI 2003 The Value of ETL and Data Quality [presentation] Paul Padley source 38
SEUGI 2003 The Value of Text Mining in Pharmaceutical Laboratories [presentation] Elisabeth Maurice source 29
PharmaSUG 2003 A Programming Development Environment for SAS Programs Tim P. Williams 8
PharmaSUG 2003 A Standard SAS Programming Toolbar: A Step Forward for GPP/SOP Compliant SAS Program Development Carl Herremans 6
PharmaSUG 2003 A Validation Reporting System with SAS AF Karen Walker 6
PharmaSUG 2003 An Application of Dummy Variable and Placeholder Macro Parameter in Programming for Clinical Trial Data Quality Monitoring Sijian Zhang,
Mark Carpenter		 4
PharmaSUG 2003 Capabilities and Example Uses of a SAS Macro for Summary Reporting of Clinical Data James T. Decker,
Jun Wang		 8
PharmaSUG 2003 Coordinated Efforts for Preparing Statistical Review Aids Coordinated Efforts 6
PharmaSUG 2003 Defining a Validation Process for End-user (Data Manager/Statisticians) SAS Programs Andrew Lawton 6
PharmaSUG 2003 Electronic Submission of SAS Data and Catalogs Simplified Adel Fahmy 6
PharmaSUG 2003 Error Checking and Version Control of SAS Programs Christopher Kania 4
PharmaSUG 2003 Generating Custom Excel Spreadsheets Using ODS Chevell T. Parker 10
PharmaSUG 2003 Integrating SAS and Microsoft Office for Analysis and Reporting of Hearing Loss in Occupational Health Management George Bukhbinder,
Michael Krumenaker		 6
PharmaSUG 2003 SAS Validation in the Pharmaceutical Industry Edward D. Helton 2
PharmaSUG 2003 StARScope: A Web-Based SAS Prototype for Clinical Data Visualization Fang Dong,
Subrahmanyam Pilli,
Scott Pivirotto,
Jeff Van Domelen		 6
SUGI 2003 A Programming Development Environment for SAS Programs Tim P. Williams,
Lee Walke		 source 6
SUGI 2003 Better Decisions Through Better Data Tony Fisher,
George Marinos		 source 6
SUGI 2003 Beyond Debugging: Program Validation Neil H. Howard source 9
SUGI 2003 Big Brother for SAS/IntrNet Security and Tracking Agent Yadong Zhang,
Muhammad Z. Khan,
Kevin J. Smith		 source 3
SUGI 2003 DHTML - GUI on the Cheap Richard H. Phillips source 8
SUGI 2003 Flip the Bow Tie: Pushing Business Intelligence to Operational Applications Larry D. Bramblett source 6
SUGI 2003 Generating Custom Excel Spreadsheets Using ODS Chevell T. Parker source 10
SUGI 2003 Logistic Regression Modeling - JMP StartTM Your Analysis with a Tree Pippa M. Simpson,
Renée A. Hall,
James G. Parker,
Jeffrey M. Gossett		 source 5
SUGI 2003 Modeling Customer Lifetime Value Using Survival Analysis - An Application in the Telecommunications Industry Junxiang Lu source 6
SUGI 2003 Next Generation Warehousing with Version 9 Gary Mehler source 10
SUGI 2003 PROC MIGRATE: How to Migrate Your Data and Know You've Done It Right! Diane Olson,
David Wiehle		 source 9
SUGI 2003 Regulatory Overview of Using SAS/IntrNet to Collect Data from Thousands of Users Xin Luo,
Sandra J. Archer,
Russell E. Denslow		 source 6
SUGI 2003 StARScope: A Web-Based SAS Prototype for Clinical Data Visualization Fang Dong,
Thomas Pivirotto,
Subrahmanyam Pilli,
Jeffrey L. Van Domelen		 source
SUGI 2003 The BEST. Message in the SASLOG Andrew T. Kuligowski source 3
SUGI 2003 The Horror of Bad Data Quality Henri Theuwissen,
Nancy Croonen		 source 7
SUGI 2003 The Use of Scripting Languages, Database Technology, and SAS/IntrNet to Revolutionize the Research Process Kristin M. Rankin source 2
SUGI 2003 The Value of ETL and Data Quality Tho H. Nguyen source 3
SUGI 2003 Using SAS to Automatically Generate Reports in Any Special Formats Quan Ren source 4
MWSUG 2002 Data Quality - The Fuel that Drives the Business Engine Tony Fisher 5
MWSUG 2002 Positioning SAS Software for Corporate Effectiveness John M. LaBore,
Thomas H. Burger		 6
NESUG 2002 Efficiency and Quality Control in the Preparation of a Preparing Statistical Review Aid in FDA e-Submissions James Wu,
Frederick A. Cieri,
Amy Gillespie		 4
NESUG 2002 Get With the Validation Program - Successful Steps to Edit Check Failures Michael Rea 2
NESUG 2002 Integrating SAS and Microsoft Office for Analysis and Reporting of Hearing Loss in Occupational Health Management George Bukhbinder,
Mark Nicolich		 6
NESUG 2002 Regular Expressions in SAS Version 8 and Beyond Francis Harvey III 9
NESUG 2002 The DATA Step in Version 9: What's New? Jason Secosky 6
NESUG 2002 Using the LOGISTIC Procedure to Model Responses to Financial Services Direct Marketing David Marsh 6
SESUG 2002 A Programming Development Environment for SAS Programs Tim P. Williams source 10
SESUG 2002 Data Quality - The Fuel that Drives the Business Engine Tony Fisher source 5
SESUG 2002 Handheld Computers for Data Entry: A Data Services Approach using Java and XML Scott E. Chapal source 7
SESUG 2002 Managing Multiple SAS/FSEDIT Data Entry with a SAS/AF Application for a Cohort Study Emily A. Mixon source 4
SESUG 2002 Mrs. Clean Tackles Dirty Data Janet E. Stuelpner source 3
WUSS 2002 Database Marketing: A Winning Approach Demetris Papaiacovou source 11
WUSS 2002 Multiple Linear Regression Analysis of Total Mercury Levels in Blood and Urine Samples Miki Yamauchi,
George C. J. Fernandez,
Stanley Omaye		 source 6
WUSS 2002 Validation Reporting System Karen Walker source 7
WUSS 2002 XML: What is it, and Why Should SAS Users Care? Miriam Cisternas,
Ricardo A. Cisternas		 source 7
SEUGI 2002 An Introduction to SAS IT Management Solutions [presentation] Richard Seery source 20
SEUGI 2002 Computer management of Human Immunodeficiency Virus Epidemiological Cohorts [presentation] Anne Peroz,
Faroudy Boufassa		 source 39
SEUGI 2002 Creating a customer event based data warehouse [presentation] David Porter source 35
SEUGI 2002 Custom Bankruptcy Scoring for Account Management [presentation] Edward Penner source 10
SEUGI 2002 Data Management and Data Analysis Solutions in Manufacturing: 10 Years Experience at Altis Semiconductor [presentation] J. L. Grolier source 36
SEUGI 2002 Enhancing customer profitablity through Marketing Automation - the FNB Experience [presentation] Jithendra Daya source 25
SEUGI 2002 European Experiences with the SAS Data Quality Solution [presentation] Rein Mertens source 26
SEUGI 2002 GAMBRO - A Leading Global Medical Technology and Healthcare Company [presentation] Catherine Collier source 10
SEUGI 2002 How to benefit from SAS investments over time [presentation] Nicholas Bull source 26
SEUGI 2002 Implementing BASEL II [presentation] Morgens Kristensen source 25
SEUGI 2002 Implementing BASEL II - What to consider [presentation] Morgens Kristensen source 26
SEUGI 2002 Japanese Corporate Bankruptcy Prediction Model [presentation] Iwabuchi source 22
SEUGI 2002 Making Your Data a Strategic Asset [presentation] Tony Fisher source 29
SEUGI 2002 Moving from PC SAS 6.12 to SAS 8.2 on a Terminal Server [presentation] Monika Kawohl source 22
SEUGI 2002 Realisation of the SAS France Balanced Scorecard [presentation] Alexandre Ghilardi source 15
PharmaSUG 2002 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta 10
PharmaSUG 2002 SAS Coexistence with FDA 21 CFR Part 11, How Far Can We Get? Gustav Sporon-Fiedler,
Marie Lassen		 6
PharmaSUG 2002 SAS Solutions for Addressing 21 CFR Part 11 Compliance - the P21 Biomedical Knowledge Platform Edward D. Helton 6
PharmaSUG 2002 Using SAS to get more out of Oracle Clinical Jim Johnson 10
SUGI 2002 A Scorecard Approach to Improving Data Quality Phil Nousak,
Robert W. Phelps		 source 9
SUGI 2002 A Secure Online Data Validation &Collection System for HEDIS Survey Data Christopher A. Roper source 9
SUGI 2002 A Version Control Kluge for SAS Programs - Using SAS! Tim P. Williams source 6
SUGI 2002 Analyze the Stock Market Using the SAS System Luis F. Soriano source 6
SUGI 2002 Creating a Web-based Application Utilizing JSP and SAS JAVA BEAN Lori L. Sipe,
Qing Chen		 source 6
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2002 Data Quality - The Fuel that Drives the Business Engine Tony Fisher source 5
SUGI 2002 Data Warehousing for the Enterprise Gary Mehler source 8
SUGI 2002 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
SUGI 2002 Energizing End Users with a Slice of SAS and a Cup of Java Randy Curnutt,
Michael J. Pell,
John M. LaBore		 source 10
SUGI 2002 Identifying Plant Species: A Botanical Analysis Using PROC DISCRIM Robert G. Downer,
Philip E. Hyatt		 source 4
SUGI 2002 Is It Harder for a Pharmaceutical Company to Move from SAS V6.12 to V8.2 Than It Is to Qualify for the World Cup? Gary R. Kennedy source 4
SUGI 2002 Keeping Form Data from Falling into the Bit Bucket with webAF Heather E. DeMartino source 5
SUGI 2002 Passing the Buck David H. Johnson source 7
SUGI 2002 Predicting Customer Churn in the Telecommunications Industry - An Application of Survival Analysis Modeling Using SAS Junxiang Lu source 6
SUGI 2002 Tree-based Models: Identification of Influential Factors under Condition of Instability Pavel Brusilovskiy,
Yillian Yuan		 source 6
SUGI 2002 Using Java, SAS and XML to Integrate Handheld Data Acquisition with Data-management Web Services Scott E. Chapal source 6
SUGI 2002 Using SAS Enterprise Miner for Data Quality Monitoring in the Veterans Health Administration's External Peer Review Program James H. Forsythe source 5
MWSUG 2001 Modeling Lifetime Value in the Insurance Industry C. Olivia Parr Rud 9
MWSUG 2001 Spinning Straw into Gold: Data Quality Tools and Techniques to Get the Most From Your Customer Warehouse Bob Brauer 5
NESUG 2001 Mrs. Clean Tackles Dirty Data Janet E. Stuelpner 3
NESUG 2001 Programming Squared (Writing Programs that Write Programs) James R. Johnson 6
VIEWS 2001 Data Mining and Statistical Models in Marketing Campaigns of BT Retail Francesco Vivarelli,
Martyn Johnson		 9
VIEWS 2001 From Data Entry to e-submission - only a button away with SAS. Integrated Clinical trial reporting - Oracle Clinical, SAS and Documentum [presentation] Andrew Lawton,
Michael Pearce		 16
VIEWS 2001 INFACT - A Web Based Solutio to Meeting the Demands for Public Access to Data Collections at the Public Expense Carol Calvert presentation 12
VIEWS 2001 Making Database QC easy, the PAREXEL way [presentation] Oliver Rees 27
VIEWS 2001 Managing Supplier Relationships In The E-World: The Need For Information [presentation] Jennifer Major,
Trevor Payne		 59
VIEWS 2001 Remote Data Querying [presentation] Richard Underwood 13
VIEWS 2001 Software Validation in Clinical Trial Reporting: Experiences from the Biostatistics & Data Sciences Department Andrea Baker presentation 5
VIEWS 2001 Speeding Up the Validation Process of Clinical Trials Data [presentation] Ali Dootson 23
VIEWS 2001 Your Clinical Trials Data Entry and Management Solution - The SAS UK Clinical Data Management Knowledge Solution [presentation] Jane Powell 19
WUSS 2001 Data Quality - Spinning Straw Into Gold Bob Brauer source 5
WUSS 2001 Discriminant Analysis, A Powerful Classification Technique in Data Mining George C. J. Fernandez source 9
WUSS 2001 Using New SAS Features Meeting Requirements for Submission in Electronic Format Karen Walker source 6
WUSS 2001 Web Log Data Cleansing and Dynamic Excel Reporting Kunling Lu source 6
SESUG 2001 A Scorecard Approach to Improving Data Quality Robert W. Phelps,
Phil Nousak		 source 9
SESUG 2001 Building a SAS Intranet Site Tim P. Williams source 5
SESUG 2001 Data Cleaning and Base SAS Functions Caroline C. Bahler source 6
SESUG 2001 Data Quality - Spinning Straw Into Gold Bob Brauer source 5
SESUG 2001 Fuzzy Key Linkage Robust Data Mining Methods for Real Databases Sigurd W. Hermansen source 10
SESUG 2001 Overcoming the Challenges of Longitudinal Data Collection Imelda C. Go source 4
SCSUG 2001 A Scorecard Approach to Improving Data Quality Robert W. Phelps,
Phil Nousak		 9
SCSUG 2001 Building a SAS Intranet Site Tim P. Williams 5
SCSUG 2001 Data Cleaning and Base SAS Functions Caroline C. Bahler 6
SCSUG 2001 Data Quality - Spinning Straw Into Gold Bob Brauer 5
SCSUG 2001 Fuzzy Key Linkage Robust Data Mining Methods for Real Databases Sigurd W. Hermansen 18
SCSUG 2001 Integrating SAS/Connect with Java John M. LaBore,
Randy Curnutt,
Michael J. Pell		 9
SCSUG 2001 Overcoming the Challenges of Longitudinal Data Collection Imelda C. Go 4
SEUGI 2001 A FMCG Company embracing the new challenges of CRM and Marketing Automation [presentation] Kerstin Plehwe source 22
SEUGI 2001 Building a compelling case for Enterprise Miner Within The Bank of Scotland [presentation] Simon Hughes source 33
SEUGI 2001 Common tool for the Purchasing Headquarters applications [presentation] Gerard Vignaud,
Serge Vanborre		 source 23
SEUGI 2001 Enterprise Guide: Delivering Information to the People Who Need to Know [presentation] Adrian Bruty source 21
SEUGI 2001 Fuzzy key linkage: robust methods for real databases Sigurd W. Hermansen source 13
SEUGI 2001 How to approach a segmentation project for ten million customers with SAS Enterprise Miner [presentation] Luis Miguel Muruzabal source 26
SEUGI 2001 How to benefit from SAS investments over time [presentation] Nicolas Bull source 26
SEUGI 2001 Planning and Budgeting with Total Financial Management: How we are automating the budgeting process within SAS International Headquarters [presentation] Jonathan Jones source 29
SEUGI 2001 Sales Force Management Through Intranet [presentation] Anna Surova,
Jan Maly,
Jaroslav Kafka		 source 21
SEUGI 2001 SAS Data Warehouse in the MKB [presentation] Szekeres Csaba source 15
SEUGI 2001 SAS Information Delivery Portal - Delivering Information to the Masses! [presentation] Don Hatcher source 36
SEUGI 2001 SAS/IntrNet Software - What is it, what has been added with release 8.2 and what can it do for your business? [presentation] Ingrid Hertel source 34
SEUGI 2001 Send in the Clones [presentation] Philip Whittall source 22
SEUGI 2001 Software Validation in Clinical Trial Reporting: Experiences from the Biostatistical & Data Sciences Department [presentation] Andrea Baker source 25
SEUGI 2001 Statistical Analysis for analytical methods validations A. Vanassia,
E. Tizzani,
Nguyen Van Danh,
R. Corneo,
V. Nanni		 source 9
SEUGI 2001 Strategic Financial Management at PZU Life: Business Benefits from Data Warehouse and CFO Vision Integration [presentation] Marek Wilczewski source 42
SEUGI 2001 The Intelligence Layer - an Organized Approach to Business Intelligence [presentation] Allan Russell,
Stefan Gossler		 source 57
SEUGI 2001 The SAS Text Mining Solution [presentation] Bernd Drewes,
Wayne Thompson		 source 22
SEUGI 2001 The SAS/UK Clinical Data Management Knowledge Solution [presentation] Ian Pimblett source 23
SEUGI 2001 Web and Data Warehouse technology combined in a pharmaceutical decision support system [presentation] Christine Vander Vorst source 29
SEUGI 2001 Web-enabled inquiries on operational data store at KBC [presentation] Jurgen Druyts,
Pascal Verschaeve		 source 26
SEUGI 2001 WebHound: Your Best Friend for Tracking Web Traffic [presentation] Frank C. Lieble source 37
SEUGI 2001 WebMining [presentation] Goncalo Abreu,
Pedro Marques		 source 15
PharmaSUG 2001 A SAS Macro for Evaluating Whether All, Any, or None of the Variables in a List Have Been Marked - Application for Clinical Data Validation Arthur Collins 2
PharmaSUG 2001 Can standards be implemented effectively without compromising science? Amy Morris,
Blue Bell		 4
PharmaSUG 2001 Developing a SAS Macro Library to Create Standard Clinical Data Summary Reports Chad W. Melson,
James T. Decker		 10
PharmaSUG 2001 Digging for Gold: SAS Tools for Extracting Clinical Study Information from Oracle Clinical Nancy Brucken 4
PharmaSUG 2001 FDA Reviewers as Ultimate End Users: Using the SAS System to Construct e-Submissions that Actually Facilitate the NDA / BLA Review Process Rich Vachal 6
PharmaSUG 2001 Loading Oracle Clinical studies using SAS methodology Curtis Wolf,
Steven Light		 2
PharmaSUG 2001 Pre-requisite to Effective Validation: Evaluating Your Clinical Trials Software Development Environment Using SEI's Capability Maturity Model for Software David C. Izard 8
PharmaSUG 2001 Programming Squared (Writing Programs that Write Programs) Jim Johnson 6
PharmaSUG 2001 VALIDATION: Let SAS do the comparisons for you Lara E.H. Guttadauro 6
SUGI 2001 A Practical Introduction to the Power of Enterprise Miner Michael S. Lajiness source 7
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 Data Cleaning and Base SAS Functions Caroline C. Bahler source 6
SUGI 2001 Digging for Gold: SAS Tools for Extracting Clinical Study Information from Oracle Clinical Nancy Brucken source 3
SUGI 2001 E-Volution of the Customer: Increasing Customer Loyalty Through An Intelligent Campaign Solution Ellen Joyner source 6
SUGI 2001 JavaScript Tutorial by Example Izabella Peszek source 7
SUGI 2001 Metadata: Everyone Talks About It, But What Is It? John E. Bentley source 5
SUGI 2001 Modeling Lifetime Value in the Insurance Industry C. Olivia Parr Rud source 8
SUGI 2001 Partitioned Mahalanobis D^2 to Improve GIS Classification Lynette K. Duncan,
James E. Dunn		 source 6
SUGI 2001 Preemptive DATA CLEANING: Techniques Malachy J. Foley source 9
SUGI 2001 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 9
SUGI 2001 Spinning Straw into Gold: Data Quality Tools and Techniques to Get the Most From Your Customer Warehouse Bob Brauer source 5
SUGI 2001 Using SAS Enterprise Miner for Forecasting Kattamuri S. Sarma source 6
SUGI 2001 Using WebAF for Data Entry and Editing in an Integrated Conservation Monitoring Data Management System Scott E. Chapal,
Myla M. Goodliffe		 source 5
SCSUG 2000 Data Cleaning 101 Ronald P. Cody 13
SESUG 2000 DATA CLEANING: Preemptive Techniques Malachy J. Foley source 9
SESUG 2000 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SESUG 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin source 6
SESUG 2000 Using Data Mining Technology to Identify and Prioritize Emerging Opportunities for Mortgage Lending to Homeownership-Deficient Communities Mortgage Lending source 10
NESUG 2000 Ad hoc Validation of Multivariate Regression Using PROC FACTOR with BY Groups Susan B. Garavaglia,
Asha Sharma,
Stephen Thompson		 10
NESUG 2000 Generating Simple and Complex Random Samples Using the RANUNI Function Rebecca Goldblatt 3
NESUG 2000 NPV Modeling for Direct Mail Insurance C. Olivia Parr Rud 7
NESUG 2000 Programming Data Displays Using SAS Software: Meeting Regulatory Requirements for Quality Michael A. Walega 11
WUSS 2000 Data Warehousing for Data Mining: A Case Study C. Olivia Parr Rud source 9
WUSS 2000 Documentation, How Much is Enough? The Who, What, Where, When, Why, and How of the Documentation Process Cecille R. Birner source 6
WUSS 2000 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 5
WUSS 2000 Utilization of SAS Programs in the Business Environment Sunil Kumar Gupta,
Charles E. Shipp		 source 5
MWSUG 2000 Building a Better Data Entry Applciation Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 10
MWSUG 2000 Input File Cleaning and Screening Using Base SAS Mike D. Tangedal 7
MWSUG 2000 Managing Independent Consultants - An Oxymoron? Neil H. Howard,
Michelle Gayari		 9
MWSUG 2000 The Ultimate Match Merge: Hiring the Best SAS Programmers Neil H. Howard 10
SEUGI 2000 a data warehouse solution in Swiss managed health care [presentation] Georg A. Mathias,
Ulrich Thurnheer		 source 33
SEUGI 2000 Assets & Liabilities analysis using SAS: second life of legacy data [presentation] Andrei Trifonov source 21
SEUGI 2000 Building an Integrated Clinical Trial Data Management System With SAS Using OLE Automation and ODBC Technology [presentation] Alexandre Peregoudov source 9
SEUGI 2000 Changes and Enhancements to the SAS Component Language (SCL) [presentation] Carl LaChapelle source 56
SEUGI 2000 Churn Prediction - The important element in the retention process [presentation] Gerhard Wanek source 15
SEUGI 2000 Data Warehouse and Analytical Tools - Development and Implementation [presentation] David Frazer source 43
SEUGI 2000 Efficient reporting to the authorities using SAS [presentation] An Smets source 37
SEUGI 2000 Financial Management using CFO Vision [presentation] Kari Kuusisto source 41
SEUGI 2000 From Doctor Shopping to Data Warehouseing to Improve Health Outcomes [presentation] John Trabinger source 47
SEUGI 2000 From Infancy to Maturity: SAS/PH-Clinical Introduction at Fujisawa [presentation] Soren Kristiansen source 40
SEUGI 2000 Making Ends Meet - Using SAS to Develop the Electronic Record and Health Needs Assessment [presentation] Neil Serougi source 15
SEUGI 2000 Offline Network Intrusion Detection: Looking for the Footprints [presentation] Frank C. Lieble source 31
SEUGI 2000 Remote Data Querying [presentation] Bernie Ruane source 27
SEUGI 2000 SAS Tools and the Population Census [presentation] Beata Kassai,
Eva Papp		 source 11
SEUGI 2000 Successful and Faster Drug Development through Data Mining [presentation] Dirk Belmans source 15
SEUGI 2000 Tracking research of public information campaigns in the Netherlands [presentation] Jaap Veenstra,
Marc Arnold		 source 28
SEUGI 2000 Web Information Extractor [presentation] Mikal Netteberg source 22
SEUGI 2000 What happened afte "Around the World in 40 Days" Looking back after the first WebEIS Experiences at DVV Insurance [presentation] Ingrid Delys,
Kristien Smets,
Ludo Van Roey		 source 32
SEUGI 2000 What's new in AppDev Studio 1.2 [presentation] Mark Torr source 56
PharmaSUG 2000 Compliance Readiness for the New Millennium How does your SAS Environment Measure Up? Steven Light 6
PharmaSUG 2000 Constructing a Data Warehouse for Pharmacokinetic Data Stanley P. Koprowski Jr.,
Jeffrey S. Barrett,
Dwight J. Fowler		 9
PharmaSUG 2000 How to Conduct 100% Validation of Derived Variables, Tables and Listings Mary Jane Young 4
PharmaSUG 2000 I Don't Look Good in Orange or Stripes. Subtitled, "Hard Coding Clinical Data is not Permissible" Susan M. Fehrer 3
PharmaSUG 2000 Managing Independent Consultants - An Oxymoron? Neil H. Howard,
Michelle Gayari		 10
PharmaSUG 2000 SAS for Analyzing Side-effects of Drugs Christine Vander Vorst 3
PharmaSUG 2000 Trialex System, Information Management via the Web Sy J. Truong 8
SUGI 2000 A Web-Based Survey System for Distributed Learning Impact Evaluation with the SAS System Morgan C. Wang,
Joel L. Hartman,
Charles D. Dziuban		 source 4
SUGI 2000 Building A Better Data Entry Application Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 source 10
SUGI 2000 Changes and Enhancements to the SAS Component Language (SCL) for Component Development Carl LaChapelle,
Tammy L. Gagliano		 source 10
SUGI 2000 Constructing a Data Warehouse for Pharmacokinetic Data Stanley P. Koprowski Jr.,
Dwight J. Fowler,
Jeffrey S. Barrett		 source 7
SUGI 2000 Data Warehousing for Data Mining: A Case Study C. Olivia Parr Rud source 9
SUGI 2000 Enterprise Application Integration: Integration and Utilization of SAS Products Matthew K. Hettinger source 6
SUGI 2000 Integrity Constraints and Audit Trails Working Together Gary S. Franklin,
Art Jensen		 source 6
SUGI 2000 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 5
SUGI 2000 Riding the Information Wave to Marketing Success: Web Enabled On-Line Analytical Processing from Your Data Warehouse George Bukhbinder,
Peter Babigian		 source 6
SUGI 2000 Style Sheets, Javascript, and SAS??? Oh, My! Kerril S. Bauerly source 10
SUGI 2000 Support System - A Web-Based SAS IntrNet Tabulator Stephen Heacock source 5
SUGI 2000 The Ultimate Match Merge: Hiring the Best SAS Programmers Neil H. Howard source 9
SUGI 2000 Using Enterprise Miner to Explore and Exploit Drug Discovery Data Michael S. Lajiness source 8
SUGI 2000 Using SAS/IntrNet Software to Support Distributed Data Entry Kathryn M. Trinkaus,
Paul A. Thompson,
J. Philip Miller		 source 6
SUGI 2000 Utilization of SAS Programs in the Business Environment Sunil Kumar Gupta,
Charles E. Shipp		 source 5
SCSUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt 7
SESUG 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SESUG 1999 Hiring the Best SAS Programmers Neil H. Howard source 10
SESUG 1999 Programming Solutions with SAS Formats and Informats Imelda C. Go source 9
SESUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt source 7
WUSS 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 6
WUSS 1999 Implementing SAS/IntrNet for Clinical Information Management Sy J. Truong source 9
WUSS 1999 Moving to Version 8 in SAS/AF: An Application Developer's Perspective Steven A. Wilson source 10
WUSS 1999 SAS Programs Validation In a GCP Regulated Environment Maria-Theresa S. Pangran source 4
WUSS 1999 The Basics of SAS Validation, a Primer on the Mechanics of Re-engineering Code and Documentation for Rapid Software Validation and Delivery Edzel Cabanero source 2
WUSS 1999 Year 2000 Triage For Your SAS Applications Mike Kalt source 7
NESUG 1999 Creating Public Use Datasets With SAS Using the "ICH-E2b/M2 SGML" Format Bill Calvert,
Feng Zhou		 7
NESUG 1999 Data Cleaning 101 Ronald P. Cody 10
NESUG 1999 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud 7
NESUG 1999 Data Warehousing in Pharmaceuticals and Healthcare: An Industry Perspective M. Kumar Sagar,
Himanshu Raval		 10
NESUG 1999 Input Selection, Performance Evaluation, and Credit Risk Analysis Shirley Tsai,
David Hamilton		 10
NESUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt 7
MWSUG 1999 Building a Better Data Entry Applciation Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 11
MWSUG 1999 Validation of SAS Macro Systems Philip M. Pochon,
Thomas H. Burger		 5
MWSUG 1999 Warranty Processing System Tim Vorce 6
MWSUG 1999 Year 2000 Triage For Your SAS Applications Mike Kalt 7
SEUGI 1999 Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] Patrick Genyn source 24
SEUGI 1999 Credit risk analysis: an empirical approach [presentation] Angela Ancona,
Emiliano Laruccia,
Flavio Addolorato		 source 22
SEUGI 1999 Data warehouse architecture for model development [presentation] David Annis,
Turlough Fitzpatrick		 source 32
SEUGI 1999 Extending the SAS Data Warehouse using SAS/Warehouse Admistrator add-in technology [presentation] Steve Hiorns source 17
SEUGI 1999 Operational and management indicators to control heterogeneous systems [presentation] Pierre Vandemaele source 27
SEUGI 1999 Principles of data warehousing in Zagrebacka banka [presentation] Ivan Vrancic source 28
SEUGI 1999 SAS software as the spider in the net. Conducting large scale trials, integrating various IT solutions [presentation] Henrik Forsman source 12
SEUGI 1999 SAS solution for analysing side effects of drug [presentation] Christine Vander Vorst,
Lieve Debaecke		 source 31
PharmaSUG 1999 Program Validation: A Necessity, But Not A Necessary Evil Amy Wilson Clodfelter,
Christine Rose		 5
PharmaSUG 1999 Validation and Documentation of SAS Programs David Handelsman 3
SUGI 1999 A Windowed Application for Efficient Access to Data Warehouse DB2 Data with PROC SQL Pass-Through Facility and Macros James Yang source 6
SUGI 1999 An Application Developer's Roadmap for Moving to Version 7 in SAS/AF Steven A. Wilson source 6
SUGI 1999 Building A Better Data Entry Application Using PROC FSEDIT Derek P. Morgan,
Michael A. Province		 source 10
SUGI 1999 Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing C. Olivia Parr Rud source 7
SUGI 1999 Data Warehousing in Pharmaceuticals and Healthcare: An Industry Perspective M. Kumar Sagar,
Himanshu Raval		 source 10
SUGI 1999 Developing Standardized Requirements, Specifications and Programs for Clinical Trials Reports Deborah J. Harper,
Nancy Brucken,
Christopher Makowski		 source 4
SUGI 1999 From Prediction to Validation: Who Understands the Past, Controls the Future (Time Series) Edward Aronov source 4
SUGI 1999 Project Request and Tracking Using SAS/IntrNet Software Steven D. Beakley source 5
SUGI 1999 SAS Component Object Model (SCOM) in Version 7 SAS/AF Software Tammy L. Gagliano,
Sue Her		 source 9
SUGI 1999 The SAS Data Warehouse and Data Integration in SASOL Synthetic Fuels Pieter J. Venter source 3
SUGI 1999 Using SAS Software to Build a Data Warehouse of Standardized Medical Costs and Patient Utilization for Health Services Research Priscilla E. Van Grevenhof,
Judith L. Wagner,
James M. Naessens,
Jill M. Killian,
Roger W. Evans,
Eva R. Helgeson		 source 2
SUGI 1999 Year 2000 Issues for SAS Users Mike Kalt,
Richard D. Langston		 source 7
SCSUG 1998 Dressing Up Your Version 6 Objects to be Version 7 Components Glen R. Walker,
Tammy L. Gagliano		 7
WUSS 1998 Successful Data Warehousing for Telecommunications Business Solutions (The Philos Method) Demetris Papaiacovou source 6
WUSS 1998 Use of Data Enterprise Miner & Multivariate Statistical Analysis to Build Fraud-Detection Models Shiao-Ping Lu source 7
NESUG 1998 Data Mining: An Overview of Methods and Techniques for Increasing Profits in Direct Marketing C. Olivia Parr Rud 8
SESUG 1998 An Applicatio.n of Cluster Analysis in the Financial Services Industry Satrsh Nargundkar,
Strategic Decision		 6
SESUG 1998 Beyond Factor Analysis: Can the Results Be Validated? Rachel J. Goldberg 6
SESUG 1998 Data Dictionary Approaches to Edit and Validate Survey Data Naoko S. Steams 4
SESUG 1998 Data Mining: An Overview of Methods and Technologies for Increasing Profits in Direct Marketing C. Olivia Parr Rud 7
SESUG 1998 Data Validation Using a SAS Format John R. Gerlach 3
SESUG 1998 Dynamic Web Pages - Integrating JavaScript into a SAS Web Application Caroline C. Bahlerc 9
SESUG 1998 Formats as a Programming Tool John R. Gerlach 7
SESUG 1998 It's Almost the Year 2000 - Should I Panic? Mike Kalt 8
PNWSUG 1998 Parameter Evaluation and Statistical Validation of Transport Parameters in Porous Media Mahesh A. Rege,
David R. Mills,
James N. Peterson,
Yunwei Sun,
David R. Yonge,
Donald L. Johnstone,
William A. Apel		 9
PNWSUG 1998 Version 7 SAS/AF Software - The New Component Technology Glen R. Walker,
Tammy L. Gagliano		 5
SEUGI 1998 A management indicator based on Statistical Process Control data: the average percentage of non conformity items K. Hadadj,
Thierry Cembrzynski		 source 19
SEUGI 1998 Getting the most out of SAS/PH-Clinical Software: The future is now Patrick O'Donoghue source 49
SEUGI 1998 Sales coaching with automated exception reporting and OLAP exploration: DVV Insurance's first data warehouse exploitation [presentation] Kristien Smets,
Ludo Van Roey		 source 17
SEUGI 1998 Single Patient Output List Application: A modern and flexible clean-file tool [presentation] Henrik Forsman,
Martin Sjoholm		 source 13
SEUGI 1998 Taking an HTML Snapshot of a Data Warehouse: Just Say, Cheese! Erik Simms,
Jerry Kagan		 source 6
PharmaSUG 1998 A Business Case for Using SAS/PH Templates as a Code Generator for Technical Report Table Writing Ben E. Bocchicchio,
C. A. Fortner-Burton,
W. W. Woods		 5
PharmaSUG 1998 A Laboratory Approach to JMP Annie L. Dudley 7
PharmaSUG 1998 Development of Global Reporting Systems for the Hoechst Marion Roussel Inc. Dorothy Hu Huang,
I. Outline		 7
PharmaSUG 1998 The Causes, Impact and Detection of Duplicate Observations Alice M. Cheng 11
PharmaSUG 1998 Validation of SAS Macro Systems Philip M. Pochon 5
SUGI 1998 Creating a Home Page on the WWW for Your Local User Group An Unlimited Resource for Local User Group Recruitment Strategies JoAnn R. Matthews source 9
SUGI 1998 Evaluating the Migration of a SAS Application from a VAX to a PC-based NT Network Alan T. Pasquino,
Don J. Fish		 source 7
SUGI 1998 Finding the Solution to Data Mining: A Map of the Features and Components of SAS Enterprise Miner Software Table of Contents John C. Brocklebank,
Mark Brown		 source 24
SUGI 1998 Mining the Data Mart: A Case Study with Stock Market Data James A. Cox,
Tonya L. Etchison		 source 11
SUGI 1998 Multivariable Cox Proportional Hazard Model by SAS PHREG &Validation by Bootstrapping Using SAS Randomizers With Applications Involving Electrocardiology and Organ T ransplants Sudhanshu K. Ghoshal source 6
SUGI 1998 On Data Transfer Aileen L. Yam source 10
SUGI 1998 Proving it Works: Using PROC COMPARE to Verify an Analysis Converted into SAS Software Lauren E. Haworth,
Njeri Karanja		 source 6
SUGI 1998 SAS and HTML - HTML Publishing Using SAS Caroline C. Bahler,
Sally M. Muller,
David Doolittle,
Arturo Barrios		 source 9
SUGI 1998 Successful Data Warehousing for Telecommunications Business Solutions (The Philos Method) Demetris Papaiacovou source 6
SUGI 1998 Taking the DrudgerYout of Data Checking: Automatic Data Validation Using FORMATS to Validate Data, PROC DATASETS to Drive the Process and MACROS to Hang It All T ogether David R. Trenery source 5
SCSUG 1997 Data Warehouse Implementation with the SAS System Tony Brown 11
PNWSUG 1997 Real-World Database Marketing Experiences Using SAS Software Robin E. Way 10
WUSS 1997 Cross-Validation Estimates of the Prediction Error in a Random-Coefficients Mixed Model Used to Estimate Emissions from On-Road Motor Vehicles using SAS Steven Brisby source 5
WUSS 1997 Exploiting SAS to Work with Other Software: Paradox Database Programs to Write SAS Code and WordPerfect Macros to Clean Up SAS Output Cecilie Birmer,
Kathleen Martin,
Gary Sulyer		 source 6
WUSS 1997 Using SAS as a Clinical Data Repository Carl R. Haske source 6
NESUG 1997 Application of SAS/ACCESS Software & DCL to Simplify Management and Analysis of Clinical Data For In Vitro Diagnostic Medical Devices Denise Cervelli 6
NESUG 1997 Managing a Help Desk Contacts Database Using the WWW and SAS Software Mary-Elizabeth Eddlestone 10
NESUG 1997 The What, When, Why, and How of PROC FORMAT Allison Levine 4
MWSUG 1997 A SAS Macro System to Automate the Decoding and Validation of Data Carl R. Haske,
Kayhan Najmabadi		 5
MWSUG 1997 Automating Data Transfer from SAS to Microsoft Access Kayhan Najmabadi,
Carl R. Haske		 3
MWSUG 1997 Interfacing Microsoft Access and SAS Using OLE and ODBC Kayhan Najmabadi,
Carl R. Haske,
Raymond Xu		 5
MWSUG 1997 Setting Dates In a Production Job Deb Cassidy 4
SESUG 1997 An Introductory Overvlew of the Data Form and Data Table Objects in SAS/AF Frame Entries Ann Carpenter Rockett 10
SESUG 1997 Beyond Field Validation: Incorporating the Batch Edit Into the Total Data System John A. Quarantillo 3
SESUG 1997 Data Warehouse Implementation with the SAS System Tony Brown 11
SESUG 1997 Reports at Your Fingertips: Displaying SAS-Generated Data on the World Wide Web Gilbert Rodriguez,
M. Rita Thissen		 3
SESUG 1997 Usage of SYSDATE for Dynamic and Internal Updates during the File Maintenance Run in the Macro-Based Information System Jeff F. Sun 10
SEUGI 1997 An integrated approach to validation of clinical data using SAS software Mike Thomson source 5
SEUGI 1997 AWACS flight data - NATO surveillance, using a warehouse and graphics to visualise flight data Dario Nicolella,
G.P.W van Tol		 source 12
SEUGI 1997 Development of a resource accounting system Bernadette Ruane source 3
SEUGI 1997 Financial consolidation and reporting: the challenges and the solutions Paul Spoormans source 13
SEUGI 1997 Flexible financial reporting system - development tips using the latest SAS software techniques Andrew B. Ratcliffe,
James Ochiai-Brown		 source 13
SEUGI 1997 Point-and-click data validation using SAS/AF software Leif Puddefoot source 9
SEUGI 1997 The benefits of data warehousing in Holmia Staffan Wadström source 39
SEUGI 1997 The future of data warehousing Sean Kelly source 28
SEUGI 1997 Understanding and enforcing standards to promote efficiency Meimei Ma,
Sandra D. Schlotzhauer		 source 9
PharmaSUG 1997 A Global Utility Menu: MUM Derek Chalmers 3
PharmaSUG 1997 Autogenesis: Automatic Generation of a SAS Data Entry Application Derek Chalmers 4
PharmaSUG 1997 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
PharmaSUG 1997 Clinical Software Systems Development in SAS/AF Carl R. Haske 11
PharmaSUG 1997 Combining Disparate Outputs from Consistency Checks into a Central Report Greg Henkle 3
PharmaSUG 1997 Development of an Epidemiology Menu-Driven Query System Kathryn A. Munoz,
Richard M. Radkowski,
Roy A. Hoffman,
Cynthia J. Girman		 6
PharmaSUG 1997 Integrating SAS Programs with a Multi-Functional Computer Assisted NDA (Canda) Kathryn B. Eisen 4
PharmaSUG 1997 Keeping Track of Electronically Transmitted Data M. Rita Thissen 6
PharmaSUG 1997 Software Validation for the Rest of Us Michael C. Harris 9
PharmaSUG 1997 Statistical Programming Workflow Process Improvement at Fujisawa USA Jay Erdman,
Paul M. Gilbert		 4
PharmaSUG 1997 System Development Life Cycle for SAS Applications Development Incorporating a Procedure for As-Built Validation of In-Use Products Wayne Lanier 7
SUGI 1997 "How Does Your Data Compare?" SAS's COMPARE Procedure Jenna Heyen source 4
SUGI 1997 Automated Testing of SAS System GUI Applications Brad Chisholm source 5
SUGI 1997 Beyond Field Validation: Incorporating the Batch Edit Into the Total Data System John A. Quarantillo,
Judy Rayner		 source 3
SUGI 1997 Data Warehouse Implementation with the SAS System Tony Brown source 11
SUGI 1997 Data Warehouse: A Telecommunications Business Solution Demetris Papaiacovou,
Larry D. Bramblett,
June Burgess		 source 4
SUGI 1997 Report Writing, SAS/GRAPH Creation, and Output Verification Using SAS/ASSIST Software Matthew J. Becker source 6
SUGI 1997 Setting Dates In a Production Job Deb Cassidy source 4
SUGI 1997 Successful Business Intelligence Systems: Improving Information Quality with the SAS System W. Droogendyk,
L. M. Harschnitz		 source 6
SUGI 1997 The SAS Data Warehouse, a Real World Example Martin P. Bourque source 6
SUGI 1997 Using OOP Techniques to Make FRAME Applications More Intuitive and User Friendly Mark Bodt source 8
SUGI 1997 Validation and SAS Programming: Benefits of Using the System Life Cycle Method Russell Newhouse source 5
SESUG 1996 National Committee for Quality Assurance HEDIS 2.5 Data Submission Forms: A Subclassed Extended Table Approach Joe Whitehurst 6
SESUG 1996 Report Writing, SAS/GRAPH Creation, and Output Verification using SAS/ASSIST Matthew J. Becker 8
SESUG 1996 Software Validation and Testing Andrew T. Kuligowski 9
SESUG 1996 Sophisticated Data Linkage Using SAS Philip J. d'Almada 6
NESUG 1996 A Data Warehous/Business Intelligence Facility: Success in an Insurance Company John Gilbert 10
NESUG 1996 Creating, Maintaining, and Accessing SAS Macro Libraries Michael A. Walega 8
NESUG 1996 Incorporating SAS Programs into a Multi-functional Computer Assisted NDA (CANDA) Kathryn Eisen,
Sam X. Ye,
Carolyn Kingman		 4
NESUG 1996 Mimic Your Business Process with SAS/EIS Software Helen-Jean Talbott,
Alberto Cordoba		 7
NESUG 1996 PC Based Direct Marketing Regression Model Production System Rich Masi 3
NESUG 1996 Quality Assurance and The SAS System Thalene T. Mallus 10
NESUG 1996 The Role of SAS Programmers in Clinical Trial Data Analysis Ming Wang 6
MWSUG 1996 "How Does Your Data Compare?" Jenna Heyen 7
MWSUG 1996 Objects, Objects and More Objects ... Tammy L. Gagliano 8
MWSUG 1996 SAS/AF "Gets Focus" Cheryl Olson 4
WUSS 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
WUSS 1996 Data Warehouse: A Telecommunications Business Solution Demetris Papaiacovou,
Larry D. Bramblett,
June Burgess		 source 5
WUSS 1996 Loading SAS Data in Informix: An Integrated Approach M. Kumar Sagar source 5
WUSS 1996 Object, Object, More Objects K. Deva Kumar,
Tammy L. Gagliano,
Patti Brideson		 source 8
WUSS 1996 System Development Life Cycle for SAS Applications Development Incorporating a Procedure for As-Built Validation of In-Use Products Wayne Lanier,
Deb Gilmore		 source 6
WUSS 1996 Tips and Techniques for Updating a Repository Data Warehouse Ty Lee source 6
PNWSUG 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
PNWSUG 1996 Data Warehousing with the SAS/Warehouse Administrator Tony Fisher 5
PNWSUG 1996 Receiving and Distributing Data Nationality: A SAS Solution to HEDIS Reporting Sue Freimuth,
Christopher Yindra		 6
SEUGI 1996 Early quality assessment in data warehouse loading Jan Wilem van der Grijp source 13
SEUGI 1996 Parallel Sysplex - planning and implementing using SASr software Alfred Brunneer source 25
SEUGI 1996 The data warehousing process - a framework for the organisational implementation and the Crucial Role of the Software Tool Carlos Pares-Salvador,
Ralf Finger		 source 14
SEUGI 1996 Tree-based modelling with the SAS System Nick Dunkerton source 12
SUGI 1996 A Client/Server Solution Using the SAS System for Electronic Submissions to the FDA Russell Holmes source 4
SUGI 1996 A SAS Macro for validating a Logistic Model with Split Sample and Bootstrap Methods Kwan Hur,
Charles A. Oprian,
William G. Henderson,
Sharon Urbanski,
Bharat K. Thakkar		 source 4
SUGI 1996 A Simple Methodology for Developing Clinical Reporting Macros Paul M. Gilbert,
Steven Light		 source 6
SUGI 1996 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
SUGI 1996 Computer Validation and the SAS System William C. Murphy source 4
SUGI 1996 Let Them Build Their Own Reports Allan M. Kominek source 5
SUGI 1996 LlFCO - A SAS Application for Container Information in the Maritime Cargo Industry Andres Medaglia,
Edgar Blanco		 source 5
SUGI 1996 Managing SAS/AF Application Development on a Local Area Network Michael Kilhullen,
Andrea L. Contino		 source 5
SUGI 1996 Mimic Your Business Process with SAS/EIS Software Helen-Jean Talbott,
Alberto Cordoba		 source 6
SUGI 1996 New Age Marketing: Past Life Regression vs. LogisticRegression C. Olivia Parr Rud source 5
SUGI 1996 Receiving &Distributing Data Nationally: A SAS Software Solution to HEDIS Reporting Christopher Yindra,
Sue Freimuth		 source 7
SUGI 1996 SAS Measures Up: Computing System Metrics in Boeing's REDARS Project Joe Perry,
F. Merrill Matlovich		 source 4
SUGI 1996 Software Validation and Testing Andrew T. Kuligowski source 9
SUGI 1996 Teaching the SAS System as an Academic Subject Andrew H. Karp source
SCSUG 1995 Portable SOPs for Contract SAS Programmers and Consultants Bill Calvert 6
MWSUG 1995 Introducing the Sample Library File Contribution Server Richard D. Langston,
Gregory S. Barnes Nelson		 6
MWSUG 1995 Let Them Build Their Own Reports Allan M. Kominek 5
NESUG 1995 A Simple Methodology for Developing Clinical Reporting Macros Paul M. Gilbert,
Steven Light		 6
NESUG 1995 The Integration of SAS/PH Clinical 2.0 into a CANDA Submission Package Ivan G. Pawson 3
NESUG 1995 Using Autocall Macros as a Common Codebase of Data Checks for Clinical Trials: Examples Drawn from the Pharmacetutical Industry Michael E. Tomb 10
WUSS 1995 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg source 9
WUSS 1995 Introducing the Sample Library File Contribution Server Richard D. Langston,
Gregory S. Barnes Nelson		 source 6
WUSS 1995 Tips and Techniques for Data Fixes in a Repository Data Warehouse Ty Lee source 6
SESUG 1995 Applications Development Building Quality into the SAS System Frank Lassiter 5
SESUG 1995 New Age Marketing: Past Life Regression versus Logistic Regression C. Olivia Parr Rud 9
SESUG 1995 Program Verification Made Easier: Templates and Toggle Switches M. Rita Thissen 5
SESUG 1995 User Training & Support Introducing the Sample Ubrary File Contribution Server Richard D. Langston 6
SEUGI 1995 Integrated Validation of Data Mike Thomson source 5
SEUGI 1995 The Implementation of a Data-Driven Selection Procedure for the Smoothing Parameter in Nonparametric Estimation Using SAS/IML Software Olaf Gefeller source 13
SEUGI 1995 UBIRIS - A System to Support Investment Research and Publications at UBS Beat Moser source 10
SUGI 1995 An Introduction to Partial Least Squares Regression Randall D. Tobias source 8
SUGI 1995 ClinAccess: A Client/Server Approach to Clinical Trials Data Management and Regulatory Approval Martin J. Rosenberg source 7
SUGI 1995 Controlling Your Programs with Data: An Example in Pharmaceutical Laboratory Data Reporting Paul C. Wehr,
Albert Mo		 source 6
SUGI 1995 Developing Cash Flow Forecasting for Service Contracts William S. Calvert,
Margaret Calvert		 source 6
SUGI 1995 Double Data Entry for Novice Users Terry Shaffer,
N. Paige Groninger		 source 6
SUGI 1995 Introducing the Sample Library File Contribution Server Richard D. Langston,
Gregory S. Barnes Nelson		 source 6
SUGI 1995 Macroitis - A Virus or a Drug Margaret K. Schrempf source 5
SUGI 1995 Managing Information Access and Updates Daryl R. Hoffman source 6
SUGI 1995 The Fast Track to Error-Checking Multiple Similar Screen Variables in a SAS/AF Report Generator Todd C. Folsom source 2
SUGI 1995 Twin_Gen: A SAS Macro for the Genetic Analysis of Twin Data Kenneth Bukowski,
ViswanaThan Ramakrishnan,
Joanne Meyer,
William G. Henderson,
Mary Ellen Vitek,
Mary Biondic,
Jack Goldberg		 source 7
SUGI 1995 Using SAS Software to Increase Your Application Development Productivity: Tools That Work Teresia L. Arthur,
Todd Lack		 source 10
SCSUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
WUSS 1994 Using SAS/AF, SAS/FSP, and SCL to Create a User-Friendly Data Entry System Elizabeth Li source 5
NESUG 1994 A SAS Macro Incorporating Discriminant Analystis Techniques Sivaram Kalyandrug,
Antonis D. Koutsoukos,
Lawrence V. Rubinstein		 9
NESUG 1994 Development of Interactive Systems Using SAS/AF, SAS/FSP, and SCL: Tips and Techniques for the Beginning Developer James K. Schwar 7
NESUG 1994 Full-Screen Data Entry and Editing Using SAS/FSP Software Linda P. Atkinson 10
NESUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
NESUG 1994 Validating Your SAS Program Jennifer Dougherty 4
MWSUG 1994 In the SAS System a Database Management System? William D. Clifford 6
MWSUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
SESUG 1994 A PPLICA liONS DEVELOPMENT David S. Focht 8
SESUG 1994 New Tricks for an Old Tool: Using Custom Formats for Data Validation and Program Efficiency S. David Riba 8
SESUG 1994 Using SCL For Quality Control During Data Entry Philip J. d'Almada 7
SEUGI 1994 A Frame-based Case Report Form Tracking System Sue Copping source 6
SEUGI 1994 Aiming at More Efficient System Support for the R&D Process Mark Crawford,
Winfried Koch		 source 8
SEUGI 1994 Cross Validation of Nearest-neighbour Discriminant Analysis Allan White source 15
SEUGI 1994 Data Management and Data Quality in a Multi-Centre Study J. Mulder source 8
SEUGI 1994 Data Management of Clinical Studies Magdolna Kiss source 6
SEUGI 1994 Le Système SAS et la refacturation des coûts informatiques Laurent Descamps 9
SEUGI 1994 The Use of SAS/ASSIST Software in the Home Office to Analyse Data From a Variety of Criminal Justice Sources Garnett Compton,
John Simmons		 source 9
SEUGI 1994 Using the SAS Software, SQL and SIMPLE++ to Ensure that Expensive Investment Decision are Based on a Statistically Sound Experimental Analysis of Descrete Event Simulation Models P. Rushton source 10
SUGI 1994 Code-Free Data Validation and Verification Samuel Berestizhevsky,
Tanya Kolosova		 source 4
SUGI 1994 Developing an Air Quality Data Management System Patricia Tobin source 7
SUGI 1994 Environmental Monitoring Data Entry and Data Quality Application Pamela Y. Goldberg source 6
SUGI 1994 Interactive Data Management and Analysis Using JMP Software, SAS Software, and OpenVMS in a Networked User-Friendly Environment David N. Ikle,
William F. Kastner		 source 5
SUGI 1994 Managing Clinical Lab Data with SAS/ AF Software - an Online Demonstration Eric C. Brinsfield,
Bradley W. Klenz		 source 4
SUGI 1994 Moving Off the Mainframe: Downsizing and Cost Reductions Bruce Andrais,
John Kirtz		 source 5
SUGI 1994 SAS/AF Features: Easy for You or Easy for Users? Heidi Markovitz source 6
SUGI 1994 The SAS System - from the Box to Production Roger L Chenoweth source 5
NESUG 1993 Numeric Variable Validation Using Arrays in SCL Marge Scerbo 4
NESUG 1993 The Best of Both PC Worlds: The Interface of PC SAS and DataEase Irene Voynick 4
WUSS 1993 Is the SAS System a Database Management System? William D. Clifford source 6
WUSS 1993 Random Sampling Without Replacement Hong Zhou,
Patrick Romano		 source 2
WUSS 1993 Table Lookups using PROC FORMAT, the PUT Function, and a LOOKUP Macro R. David Barsky source 2
SCSUG 1993 Is the SAS System a Database Management System? William D. Clifford 6
MWSUG 1993 An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way Judy L. Gilbert 5
MWSUG 1993 Data Integrity Validation - Proactive vs. Reactive Douglas P. DeYoung 6
MWSUG 1993 Modualar Programming for a Screen Control Language Application Linda M. Quinn,
Allan M. Kominek,
Tina M. Sluga		 6
SEUGI 1993 NIDOK - A Data Management System for Kidney Transplant Data Elisabeth Kyral source 6
SEUGI 1993 The Nuclear Electric Equipment Database System Julian Stevens source 14
SEUGI 1993 The SAS System - Strategic Software for the Future in the Hungarian Central Statistical Office Eva Papp source 5
SEUGI 1993 The SAS System in Dental Clinical Trials Paul Jones source 10
SUGI 1993 A Corporate Revenue Planning Application Using SAS/AF Software William F. Vander Lippe,
Joseph S. Bartling		 source 6
SUGI 1993 A Mainframe/Microcomputer Personnel Salary Review Input and Analysis Management Information Application Robert A. Somer,
Charles E. Pecot		 source 10
SUGI 1993 An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way Judy L. Gilbert source 5
SUGI 1993 An Integrated Clinical Trials System Utilizing Client Server and Graphical User Interface Technology Martin J. Rosenberg source 7
SUGI 1993 Building and Maintaining End-User Applications Jamie Robbins,
Khasha Dehnad		 source 3
SUGI 1993 Double-Key Data Entry/Verification in SAS Software: Part of Downsizing a Clinical Data System to the OS/2 Operating System Barry R. Cohen source 7
SUGI 1993 DSGEN: Magically Generate SAS Data Sets, Customized Screens and Formats Without Writing Source Code Bernadette H. Johnson,
Bonnie Duncan		 source 5
SUGI 1993 Facilitating Clinical Data Management and Regulatory Review in the Pharmaceutical Industry: A Manager's Perspective Randi Olsen McFarland source 2
SUGI 1993 Is the SAS System a Database Management System? William D. Clifford source 6
SUGI 1993 Linking Databases with Base SAS Software to Facilitate Client/End-User Access to an Extended Data Resource Philip J. d'Almada,
Cynthia J. Berg		 source 4
SUGI 1993 Modular Programming for a Screen Control Language Application Linda M. Quinn,
Allan M. Kominek,
Tina M. Sluga		 source 6
SUGI 1993 Object-Oriented Graphical User Interface (OOGUI) Using FRAME Entries in SAS/AFSoftware-Part III Jeff Cartier source 6
SUGI 1993 Object-Oriented Graphical User Interface (OOGUI) Using FRAME Entries in SAS/AFSoftware-Part IV David J. Biesack source 8
SUGI 1993 SIMSPRT: A SAS Code for Simulation of Sequential Probability Ratio Tests Kenny C. Gross,
Kristin K. Hoyer		 source 6
SUGI 1993 Spectral Decomposition and Reconstruction of Nuclear Plant Signals Kristin K. Hoyer,
Kenny C. Gross		 source 6
SUGI 1993 The Progression and Integration of the CANDA at Merck Bruce Binkowitz,
Wanda Bidlack,
Nancy Bauer		 source 6
SUGI 1993 Using SAS Software to Develop an Online Pregnancy Registry System Jean Fletcher source 6
NESUG 1992 A Powerful Double-key Entry/Verification System in the SAS System for Clinical Trials Data Barry R. Cohen 8
NESUG 1992 SAS Screen Control Language: A Gentle Introduction Jean Hardy 6
NESUG 1992 Use of a Centralized Data Dictionary in Designing an Occupational Health Information System Anne Stocum 6
MWSUG 1992 Totally R.A.D. With SAS Screen Control Language Robert W. Simmons 9
MWSUG 1992 Using SAS Macro Facilities to Simplify A Large Multi-Event Statistical Analysis Douglas P. DeYoung 6
SEUGI 1992 A SAS/AF Application for Data Samples Analysis Gianni Grippa source 11
SEUGI 1992 Database Features Extend the Scope of SAS/SHARE Software Colin J. Harris source 6
SEUGI 1992 Frequency Management and Scheduling at Radio Free EuropeRadio Liberty International Broadcasting with the Help of Adabas and the SAS System Duncan Kinchen source 8
SEUGI 1992 The SAS System and Meta Knowledge Herve Augendre source 7
SEUGI 1992 Writing a 4 GL for Statistical Analysis of Customised Databases Eoin O'Brien,
Neil Atkins		 source 9
SUGI 1992 An Integrated Clinical Information System for Pharmaceutical Research Martin J. Rosenberg source 7
SUGI 1992 Data-Checking Methods in a Data Entry System Based on SAS Software: Exploring the Possibilities Sandi Tennyson source 5
SUGI 1992 Database Features Extend the Scope of SAS/SHARE Software William D. Clifford source 6
SUGI 1992 Departmental Automation Using Release 6.06 of the SAS System Michael Sternberg,
Peter Yribar		 source 6
SUGI 1992 Load Data Analysis Workstation (LDAW): A SAS/AF Information Systems Application Burtt Blodgett,
John Powers		 source 6
SUGI 1992 Moving a Health Data System from a Research to a Business Environment Michael C. Hein,
Lisa Hein		 source 5
SUGI 1992 SAS Classes for Nonprogrammers in the Clinical Data Management World Susan V. Hale source 4
SUGI 1992 Using Features of the SAS System, Release 6.06, to Enhance Data Entry Applications Sharon S. Trevoy source 4
SUGI 1992 Using Macros to Run Regressions Reesa L. Laws source 2
SUGI 1992 Validation of the UPLOAD and DOWNLOAD Procedures in the SAS System Richard A. Markus,
Jeffrey S. Kouba,
Curt Snyder,
Louise Murphy		 source 6
NESUG 1991 The Progression and Integration of the CANDA at Merck Nancy Bauer,
Wanda Bidlack,
Dan Himmel,
Bruce Binkowitz		 6
MWSUG 1991 A Medical Research Management System Using SAS/ASSIST and SAS/FSP Roger Mueller,
Frank Cockerill,
Priscilla Van Grevenhof,
Robert Snyder		 4
SEUGI 1991 An End-User Application for Pharmaceutical Research Guy Toulouse source 19
SEUGI 1991 Statistical Procedures in Testing the Performance of Crop Growth Simulation Models Ferenc Zemankovics,
Zsuzsanna Bacsi		 source 15
SUGI 1991 A Data Entry Application in Clinical Research Using Quality Assurance Tools Miriam W. Rosenblatt source 6
SUGI 1991 Conversion to Version 6 of the SAS System: Experiences and Advice from a Management Information Systems Department Jerry J. Hosking,
Cliff Schell		 source 5
SUGI 1991 Developing a Data Entry and Retrieval Application Using SAS/AF and SAS/FSP Software Lisa Ann Horwitz source 4
SUGI 1991 Load Data Analysis Workstation (LDAW): A SAS/AF Information Systems Application Burtt Blodgett,
Diane Bailey,
John Powers		 source 6
SUGI 1991 Software Reliability Measurement: A SAS Application James A. McKenzie source 3
NESUG 1990 Screen Control Language - An Invaluable Tool in Application Development David S. Septoff 6
SEUGI 1990 An Introduction to SCL with the FSEDIT Procedure Isolde Schell-Haungs source 3
SEUGI 1990 Audit Trailing Using the SAS System Mark Crawford source 28
SEUGI 1990 Interfaces and Integration of SAS Software in a Clinical Data Management System N. George,
R. Gomeni		 source 12
SEUGI 1990 SAS Software at Boehringer Ingelheim Ltd. Andrew Lawton source 5
SEUGI 1990 SAS Software Version 6.06, Beta-test under VMS - 4 Months User Experience Stephen J. Burman source 6
SEUGI 1990 Short Term Predictions: A Monitoring System M. Helder source 7
SUGI 1990 An Introduction to Screen Control Language with the FSEDIT Procedure Annette T. Harris,
Ann E. Carpenter,
Glenn H. Itano		 source 4
SUGI 1990 Effectively Using the FSEDIT Procedure Howard Levine source 10
SUGI 1990 Rod Mill Billet Surface Quality Reporting System John A. McNamara,
L. Richard Woodyatt		 source 8
SUGI 1990 Scientific Workstations and SAS Software: Getting Jobs Completed Robert W. Young source 4
SUGI 1990 Screen Control Language - An Invaluable Tool in Applications Development David S. Septoff source 4
SUGI 1990 Using the SAS/C Source Level Debugger's STORAGE Command Effectively Tim Hunter source 4
NESUG 1989 An Introduction to SAS/AF Marge Scerbo 5
SEUGI 1989 Data On Data Karsten Boye Rasmussen source 11
SEUGI 1989 SAS/AF Software In Clinical Data Applications Mark Crawford source 26
SUGI 1989 A Lockheed Computer-aided Data Verification System John Lau,
Greg Silva		 source 3
SUGI 1989 A SAS Macro Program Which Generates SAS/DB2Queries from SAS/AFInputs Holly A. Fitzgerald source 6
SUGI 1989 Advanced Features in SAS/AF Software Mary Beth Naim source 6
SUGI 1989 ATHENA: An Interactive Load Research Application Using Windows, and Macro Techniques Burtt Blodgett,
John Powers		 source 4
SUGI 1989 Data Sharing Using SAS/DB2 "Software Barbara E. Lee,
Andrew S. Schlegel		 source 4
SUGI 1989 Determining the Roles of the SAS System and a Database Management System in Clinical Research Mark J. Holdbrook source 5
SUGI 1989 Development of an Interactive Health Care Data Input and Verification System with Version 5 of the SAS System under VMS Joel H. Smeby source 3
SUGI 1989 Migration fromHost Processing to Micro Processing: A Conversion Task List Marian M. Miller source 4
SUGI 1989 Solution of 111 posed Inverse Problems Using B-Splines James E. Dunn,
Kumi Era		 source 6
SUGI 1989 Structured Test Design for Data Quality Control Randy Whitfield source 3
SUGI 1989 Using the SAS System for Error Identification and Resolution in Large and Complex Data Structures Herbert C. Reynolds,
Donald P. Trees		 source 6
SEUGI 1988 The Screen Control Language (SCL) in Version 6 SAS/AF and SAS/FSP Software Chris Bailey,
Yao Chen		 source 6
SUGI 1988 Alternative Design for Corporate Information Systems Based on the SAS System John G. Lord Jr. source 3
SUGI 1988 Efficient Use of a SAS Data Library as a Pseudo-relational Data Base Vladimir Svirsky source 6
SUGI 1988 The Development of a Prototype SAS/AF Software Catalog for User Training Paul H. Allsing source 4
SEUGI 1987 Replacing an Old Minicomputer System with a Micro-Mainframe Solutiong Using the SAS System Aale Roos source 4
SUGI 1987 A Queuing Model for Analyzing Workloads of a Single-Threaded Process Jeanne J. Paynter,
Jerome P. Wood		 source 7
SUGI 1987 CARS - A Synergy of SAS Software, COBOL, and Data Analyzer for Health Care Reporting Kelly Tate,
Jim Woods		 source 5
SUGI 1987 Determining End User Response Time Using NLDM and SAS Software Michael W. Yount source 6
SUGI 1987 Information Systems in the Utility Industry Based on the SAS System: A Southern California Perspective Jacob C. Epperson,
Roger B. Glaser,
Clark M. Roberts,
James H. Sorenson		 source
SUGI 1987 Techniques for Using SAS/AF Software More Efficiently Annette T. Harris source 4
SUGI 1987 The Busman's Holiday: Automating the Systems Development Process Roger E. Booker,
Julie Keenan		 source 3
SUGI 1987 Using Formats to Enhance the Appearance of Your Reports Stephen R. Schulz source 7
SEUGI 1986 Introduction to SAS/DMI Software Philip J. Winters source 3
SUGI 1986 A Macro Library for Classical and Robust Multivariate Modeling Kathryn S. Fletcher,
E. James Harner		 source 3
SUGI 1986 Information Systems at the Soil Conservation Service M. Cassandra Smith source 4
SUGI 1986 SAS Software Windowing Applications on a PC Barbara H. Pendergrass,
Richard Roach		 source 2
SEUGI 1985 Regression Analysis and other SAS Procedures for Assessing Credit Risk Raxa Vaid source 10
SEUGI 1985 Test Procedures for Model Selection and Model Validation Wil Velding source 23
SUGI 1985 A SAS Procedure for Smoothing Generalized Linear Models William J. Raynor Jr. source 6
SUGI 1985 SAS Macros for Bootstrapping and Cross Validating Regression Equations Richard T. Carson source 6
SEUGI 1984 The Use of ISPF in an Information Centre Alan Rawlings source 7
SUGI 1984 A SAS Macro for Increasing the Reliability of a Binary Test Using Item Interactions Robert J. Jannarone,
James S. Roberts		 source 5
SUGI 1984 PROC JACKREG-A SAS Procedure for Jackknife Regression Daniel M. Chilko,
Panayiotis Hambi,
Gerald R. Hobbs		 source 6
SUGI 1984 Residential Energy Forecasting: A Pragmatic Application of Box-Jenkins Michael F. Jacob source 6
SUGI 1983 Deterministic Inventory Modeling Using SAS Kent W. Bauman source 5
SUGI 1983 Living with the AHA: The Construction of a Multi-Year Hospital Information Data Base Using the AHA Annual Survey and SAS Mireille Leger,
Frederick E. Pratter		 source
SUGI 1983 Using SAS for Management of Research Resources Rosilind L. Ibrahim source 6
SUGI 1983 Using SAS with a DBMS to Form a Versatile Information System Stephen M. Smith source 6
SUGI 1982 A Data Mangement and Forecasting System for the Non-Data Processing User.. Janet S. Bridgers,
Kenneth A. Sprinkle		 source 6
SUGI 1982 A Proposal for the Contents of a Project Archive Ronald W. Helms,
James D. Hosking		 source 8
SUGI 1982 Capacity Planning Using CapturelMVS., BEST. and SAS Robert Ashton,
Jeffrey Buzen,
Leonard Lipner		 source 4
SUGI 1982 Full-Screen, Menu Directed Information Systems for Planning, Analysis and Control Leonard J. Reingold,
Jack Siler		 source 6
SUGI 1982 Managing Large Survey Research Data Base Steven Just,
Francesca Seidita		 source 5
SUGI 1982 Two-stage Cyclic Queueing Model of Multiprogramming from the MICS Data Base Gerald Stephen Hodge source 3
SUGI 1980 Jacknife Techniques in Regression Analysis Anthony A. Billings,
Daniel M. Chilko,
Gerald R. Hobbs,
Paul Hshieh,
Ronald D.King		 source 5
SUGI 1979 The Role of SAS in the Support of Clinical Studies in Medicine J. Philip Miller source 6

Back to keywords