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adverse events

1528 papers and 119 presentations; 1542 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 From Raw to Compliant: Applying Domain-Specific SAS Macros for Data Cut-Off in Clinical Trials Ballari Sen source 26
PharmaSUG CN 2026 A Dual-Engine Architecture for MedDRA Auto-Encoding: Integrating Rule-Based Logic with LLM Semantic Retrieval in R Shiny Qingqing Wang,
Yaxiong Suo		 source 6
PharmaSUG CN 2026 AI-Powered R Shiny Tool for Automated Footnote Comparison Across TLF Packages and Shells Yuan Sun source 11
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 Interpretable Machine Learning Framework for Exploratory Survival and Safety Analysis Using Random Survival Forests and SHAP Kun Shao source 17
PharmaSUG CN 2026 Data Collection, Structuring, Analysis, and Reporting Considerations for CRS, ICANS, and IEC-HS in CAR-T Clinical Trials Zhemin Pan,
Jimmy Yang,
Shasha Hu,
Bo Li		 source 24
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 Handling Missing Data in Analgesia Clinical Trials and Corresponding SAS Implementation Jingbo Zhu,
Jiehan Zhang		 source 17
PharmaSUG CN 2026 Interactive Clinical Plot Gallery with Cross-Plot Subject Linking in R Shiny You (Lea) Lyu source 10
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 One Pipeline, Zero First Drafts: A Metadata-and-LLM Toolkit for Automated TFL Program Generation Hefan Jing,
Peilin Liu		 source 10
PharmaSUG CN 2026 Safety Estimands and Analysis Dataset Design: Advancing Safety Evaluation in Clinical Trials Kun Ren,
Zeyu Guang		 source 11
PharmaSUG 2026 A Faster Algorithm for the Finkelstein-Schoenfeld Test and Win Ratio in Hierarchical Composite Endpoint Analysis James Austrow source 13
PharmaSUG 2026 A Human-in-the-Loop AI-Assisted Framework for ADaM Standardization Chunqiu Xia,
Feiyang Du		 source 12
PharmaSUG 2026 Advanced SAS Graph Template Language (GTL) with Practical Examples from Oncology Trials Ceng Qian,
Xu Wen,
Wei Lei,
Ling Han		 source 15
PharmaSUG 2026 An Experience Using R, SASSY and Tidyverse For Clinical Trial Analysis, From A SAS Programmer Perspective David W. Franklin source 27
PharmaSUG 2026 An Innovative solution for Interactive Dashboards Using Python Flask Framework for Clinical Data Analytics Manish Bhagchandani source 6
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 Beyond WHODrug: Insight into Concomitant Medication Data Analysis Song Liu,
Martin Nielsen,
Rambabu Sura		 source 9
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 CTCAE v6.0: The Good, the Bad, and the Ugly Elizabeth Dennis,
Grace Fawcett		 source 6
PharmaSUG 2026 Designing a modular and interactive visualization tool for DMC Chen Li,
Hong Wang,
Shu Chen,
Xuan Jiang		 source 2
PharmaSUG 2026 DOSEON: Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (PROC SQL, SAS Macro, DATA Step, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source 39
PharmaSUG 2026 Dynamic Patient Profile Plot Development with SAS Graph Template Language Raghava Pamulapati,
Guowei Wu,
Danfeng Fu		 source 13
PharmaSUG 2026 Enhancing CDISC Standards Implementation (SDTM and ADaM) with PROC FCMP, PROC IML and Macro Loop Integration in Oncology Clinical Trials. Ajay Gupta,
Misikir Tesfaye		 source 7
PharmaSUG 2026 Following Your Footsteps: Maintaining Traceability in ADaM Datasets [presentation] Nancy Brucken,
Karl Miller		 source 59
PharmaSUG 2026 From Data to Dossier: Lessons from Cross-Company Regulatory Submissions Nikita Joseph,
Gayathri Mahadevan		 source 7
PharmaSUG 2026 From Learner to Innovator: A Journey in R Empowered by AI to Enhance Narrative Review in Clinical Studies Shih-Che (Danny) Hsu source 4
PharmaSUG 2026 Goodbye SAS, Hello R: Practical Workflows for CDISC Standards Madeleine Penniston,
Alyssa M. Wittle		 source 12
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 Navigating the Statistical Programming Strategies for Cytokine Release Syndrome (CRS) and ICANS in Oncology Clinical Trials. Murali Kanakenahalli,
Vamsi Kandimalla		 source 9
PharmaSUG 2026 One Study, Many Regulators: Submission-Ready Data Package for Multi-Region Filings Himanshu Patel,
Chintan Pandya		 source 10
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 Patient-Level, Dose-Stratified Swimmer Plots for Comparative Adverse Event Time-Course Assessment in Clinical Trials Using SAS PROC TEMPLATE Qingwei Hu,
Zhaoyu Xie,
Ji Qi		 source 5
PharmaSUG 2026 Protocol Analysis, Optimisation and Generation: Artificial Intelligence Enables a Unified View Sundaresh Sankaran,
Sherrine Eid		 source 10
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 SAS viya dynamic visualization of data Jumin Geng source 5
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 Swimmer Plots - Some Practical Advice Ilya Krivelevich source 11
PharmaSUG 2026 The Evolution of Open-Source Technologies in the Pharmaceutical Industry: Python as a Cost-Effective Solution for Clinical Statistical Programming Ramesh Potluri source 9
PharmaSUG 2026 The Problems Surrounding Rounding Jennifer McGrogan,
Mario Widel		 source 12
PharmaSUG 2026 The Tipsy Hangover: Avoiding Indent Headaches in SAS Reports Lisa A. Mendez,
Richann J. Watson		 source 22
PharmaSUG 2026 Tipping Point Analysis: An Illustration of Sensitivity Analysis on Non-Administrative Censoring for Progression-Free Survival (PFS) Lihui Deng,
Kylie Fan,
Xiaoting Qin		 source 7
PharmaSUG 2026 Two Approaches to Phase-Specific TRTEMFL in ADAE: A Neoadjuvant-Adjuvant Case with Surgery Between Phases Youlan Shen,
Leah Suttner		 source 6
PharmaSUG 2026 Virtual Data, Real Standards: Leveraging Data Simulation for Smarter Clinical Trials Sangeeta Shabadi,
Nitesh Patil,
Jonathan Henshaw		 source 16
PHUSE US 2026 Accelerating Study Insights: Agile Data Visualisation Using R-Shiny Lin Yuan,
Heather Howell		 source
presentation source		 6
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 An RShiny App for Real-Time Continuous Safety Monitoring in Post-POC Trials: A Bayesian Approach to Decision-Making Jinquan Wu source
presentation source		 11
PHUSE US 2026 Around the Data DOSE-y Doe: Using DOSExx Variables within ADaM Datasets Inka Leprince,
Richann J. Watson		 source 10
PHUSE US 2026 Balancing Privacy and Utility with Smart Anonymisation [presentation] Zach Weingarden source 13
PHUSE US 2026 Bridging Patient- and Trial-Level Insights Catharina Dahlbo,
Eva Kelty		 source
poster source		 5
PHUSE US 2026 Building Sustainable RBQM Frameworks: Challenges, Metrics and Real-World Results Nicole Stansbury source
poster source		 7
PHUSE US 2026 Changing rules on Data Ownership and Data Access [presentation] Darshan Kulkarni source 38
PHUSE US 2026 CLIQ: An AI-Native Framework for Unified Clinical Trial Data Quality Assurance Gopinath Viswanathan source
presentation source		 5
PHUSE US 2026 Coding Clinical R with Confidence: Digital AI Assistant based on Self-Hosted LLMs Kostiantyn Drach source
presentation source		 8
PHUSE US 2026 Common Issues in BIMO Clinical Site Dataset Packages Michael Beers source
presentation source		 7
PHUSE US 2026 Comparing Medical Queries with Interactive Graphics using JMP Clinical Chris Kirchberg 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 Data Can't Do It Alone: The Untold Power of Soft Skills in IDMCs Maira Pinto source
presentation source		 9
PHUSE US 2026 Data Designer: Empowering Data Preparation, Transformation, ARD Creation and Summarization for Insights and Decision Making Mukul K Mittal,
Sanjeev Rathore		 source
presentation source		 8
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 Data Storytelling: A Crucial Leadership Skill in Today's Clinical Research Landscape Bhavesh Patkar source
presentation source		 9
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 Enhancing ISS Analyses with the Continuity-Corrected CMH Method: An SAS-Based Solution for Zero-Event Strata Ji Qi,
Kaixiang Li		 source
presentation source		 5
PHUSE US 2026 Estimand-Aligned Multiple Imputation Strategies in CNS Trials with Complex Intercurrent Events Veera Thota,
Ian Lees		 source
presentation source		 6
PHUSE US 2026 Framework for Incorporating Estimands within the Statistical Analysis Plan Inderjeet Arora source
presentation source		 9
PHUSE US 2026 From Data to Dossier: Lessons from Cross-Company Regulatory Submissions Nikita Joseph,
Gayathri Mahadevan		 source
presentation source		 7
PHUSE US 2026 Fuzzy Matching DOSE Date Intervals ON Analysis Dates Across SAS (DATA Step, PROC SQL, SAS Macro, and PROC FCMP) Inka Leprince,
Troy Martin Hughes		 source
presentation source		 32
PHUSE US 2026 Integrated Summary of Safety (ISS) Demystified: Practical Considerations for a Successful ISS Ji Qi,
Lily Cheng		 source
presentation source		 8
PHUSE US 2026 Interactive Patient Profiles in R Shiny: Enhancing Narrative Review in Clinical Studies Danny Hsu,
Tzu-Chien Chuang		 source
poster source		 4
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 Metadata-Driven TFL Generation: End-to-End Automation from Protocol to Output Bill Qubeck source
presentation source		 12
PHUSE US 2026 Methods of a Fully Automated CONSORT Diagram Macro %CONSORT Jeffrey P. Meyers source
presentation source		 18
PHUSE US 2026 Multiple Sclerosis Trials Unpacked: Standards, Endpoints and Programming Experience Daryna Teteriuk source
presentation source		 12
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 Open Source as a Strategic Enabler for EMA Submissions: An R Shiny Approach Marckenley Mercie source
presentation source		 5
PHUSE US 2026 PHUSE Working Groups Highlights [poster] Chris Price source 1
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 Prompting for Precision: Leveraging Agentic Workflows to Accelerate Clinical Trial Document Understanding Jaya Simha Inampudi source
presentation source		 14
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 Real-Time Integration of EDC and Third-Party Data and Query Actions within an R Shiny Data Review and Patient Profile Tool Pavel Burmenko,
Terek J. Peterson		 source
presentation source		 5
PHUSE US 2026 Real-World Evidence Pavilion: Interactive Workshop: Bridging Estimands & Target Trial Emulation [presentation] Lauren Dang,
Matt Baldwin		 source 7
PHUSE US 2026 Real-World Evidence Pavilion: Interactive Workshop: Bridging Estimands & Target Trial Emulation [presentation] Lauren Dang,
Matt Baldwin		 source 6
PHUSE US 2026 Rethinking Data Quality - From Fragmented Checks to Connected Insights Eva Kelty source
presentation source		 6
PHUSE US 2026 Robust Causal Inference in Real-World Evidence Studies with Double Machine Learning Yilun Huang,
Jing Dai		 source
presentation source		 5
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 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 Statistical Programming Methods for Evaluating the Impact of Immunogenicity on Safety and Efficacy Outcomes Dinesh Putluri,
Rakesh Padigala		 source
presentation source		 10
PHUSE US 2026 Straight to the Source: Interactive Visual Dashboards for Data Cleaning Daniel Smith source
presentation source		 8
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 Turning Trial Data into Patient-Centric Insights Catharina Dahlbo,
Eva Kelty		 source
presentation source		 5
PHUSE US 2026 Voice-Driven Agent-Assisted Open-Source Data Science Philip Bowsher source
presentation source		 10
PHUSE US 2026 What Patients are Interested in when it comes to Data Sharing [presentation] Deborah Collyar source 18
PHUSE US 2026 What Pharma Can Learn from Data Science Outside the Industry Kris Wenzel,
Liz Cole		 source
presentation source		 11
PHUSE US 2026 {gsm} Operations - Implementing an Open Central Monitoring Framework Jenn Krohn source
presentation source		 6
PHUSE APAC 2026 Advancing Clinical Trial Analysis with Trimmed Means: Estimands, Intercurrent Events, and Regulatory Alignment Prasanth Palanisamy source
presentation source		 9
PHUSE APAC 2026 AI for Adverse Event Signal Detection: Moving Beyond Monika Monika source
presentation source		 10
PHUSE APAC 2026 Beyond Basics: Essential R Code Tips and Tricks for Clinical Programmers Sanjana Jayacumar source
presentation source		 6
PHUSE APAC 2026 BioBERT-Powered Event Classification - A Machine Learning Approach in Pyhton Gayathiri Premkumar source
poster source		 7
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 Decoding NCI-CTCAE: Smarter Lab Grading Through Metadata and Automation Zulfat Kapadia source
presentation source		 9
PHUSE APAC 2026 Early Detection of Adverse Events Associated with Antihypertensive Medications: A Real-World Evidence Study Using FAERS Data Noel S. John,
Mahjoob O. Majeed		 source
presentation source		 3
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 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 From Static to Interactive: A Comparative Evaluation of ggplot2 and Plotly in Clinical Data Visualisation Mugdha Joshi source
presentation source		 8
PHUSE APAC 2026 Implementation of the ICH E9(R1) Estimands Framework Using Data Standards [presentation] Shahida Tamboli source 26
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 Invisible Influences: Estimands, Assumptions and Sensitivity in Inflammation & Immunologic Trial Interpretation Sukanya Erramachetty Subramanyam source
presentation source		 8
PHUSE APAC 2026 Leveraging Data Visualization and R Shiny for Efficient Subgroup Analysis Srinidhi Ramachandran source
presentation source		 6
PHUSE APAC 2026 Leveraging Data Visualization from Clinical Trial Registries for Enhanced Insights Gowtham Manickaselvam,
Anand Boopalan		 source
presentation source		 8
PHUSE APAC 2026 Leveraging Julia for Advanced Data Visualization in Pharmaceutical Research Ranjeet Kumar,
Bristol Myers Squibb,
Deepak Vaishnav,
Bristol Myers Squibb		 source
presentation source		 5
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 Optimizing Workflow in Pharma: Innovative Dashboard Creation Dikshit A source
presentation source		 9
PHUSE APAC 2026 Real- World Safety Evaluation through Electronic Medical Record: A Transformative Approach to Korean Post-Marketing Surveillance Ha-Yeong Gil,
Yeo Rae Moon,
YongHyun Cho,
Seung-Hee Jeong		 source
poster source		 3
PHUSE APAC 2026 Signal First: A Data-Driven Approach to Safety Prioritization Using SAS and Tableau Jinu J. Nair,
Rubina Pathan		 source
poster source		 9
PHUSE APAC 2026 Solving the Fragmentation Challenge in RA Trials: Deriving deeper insights Umayal Annamalai,
KiranKumar Vyas		 source
presentation source		 13
PHUSE APAC 2026 Standardization of Auxiliary Medicinal Products (AxMPs) in Clinical Trials Divya Mekala,
Manoj Mishra		 source
presentation source		 3
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 Unveiling Powerful Patient Data Insights Through Graph Database Sonal Dedhia source
presentation source		 10
PHUSE EU 2025 Bayesian Inference for Medical Device Reliability: Improving Safety and Effectiveness Assessments Shrutimita Pokhariyal 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 Collaborative Industry Open-Source Solutions for Clinical Trial Quality Management Björn Koneswarakantha,
Frederik Collin		 source
presentation source		 9
PHUSE EU 2025 Cracking the Curve: Unlocking Clinical Insights with Ridgeline Plots Mariam Babayan,
Rafik Ghazaryan		 source
presentation source		 6
PHUSE EU 2025 Detecting Logical Errors in Clinical Programming by Applying ChatGPT Illia Skliar source
presentation source		 9
PHUSE EU 2025 Digital SAP Model Using Biomedical Concepts Tom Ratford source
presentation source		 5
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 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 SDTM to a Graph-Based, Multi-Purpose Interface for Data Eva Kelty,
Catharina Dahlbo		 source
presentation source		 4
PHUSE EU 2025 How to map lab data into the LB domain and ADLB Bert Parmet source
poster source		 6
PHUSE EU 2025 Hybrid Way To Develop Patient Narratives [presentation] Loskutov Volodymyr,
Oleh Buno		 source 16
PHUSE EU 2025 IDD'AI: Automating the Tedious So You Can Focus on the Genius Lionel Debecq,
Samantha Cambier		 source
presentation source		 8
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 Revolutionising Clinical Trial Monitoring and Data Analysis with AR- and VR-Driven Immersive Analytics Tej Narayan Yadav,
Saurabh Das		 source
presentation source		 7
PHUSE EU 2025 Survival analysis for AdVerse events with VarYing follow-up times (SAVVY)-estimation of adverse event risks Regina Stegherr,
Claudia Schmoor,
Jan Beyersmann,
Kaspar Rufibach,
Valentine Jehl,
Andreas Brückner,
Lewin Eisele,
Thomas Künzel,
Katrin Kupas,
Frank Langer,
Friedhelm Leverkus,
Anja Loos,
Christiane Norenberg,
Florian Voss,
Tim Friede		 source
poster source		 13
PHUSE EU 2025 Talk to Your Data: Accelerating Insights with AI-Powered Dashboards Emily Yates source
presentation source		 8
PHUSE EU 2025 The Utilization of an Interface Based on a Graph Database Catharina Dahlbo,
Eva Kelty		 source
poster source		 8
PHUSE EU 2025 The Value of Clinical Trial Data: From Submission to Innovation Anne Katrine Alsing 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 Using the full power of SAS to resolve Algorithmic MedDRA SMQs Stephen Prust source
presentation source		 18
PHUSE EU 2025 Using Visual Dashboards to Improve Data Accuracy Daniel Smith source
poster source		 8
MWSUG 2025 Advancing Research in Rare Disease Using SAS Viya [presentation] Kelly Olano,
Pierce Kuhnell,
Laurie Smith		 source 18
MWSUG 2025 Worried about that Second Date with ISO? Using PROC FCMP to Convert and Impute ISO 8601 Dates to Numeric Dates Richann J. Watson source 19
SESUG 2025 Behind the Scenes with SAS Catalogs: Formats, Macros, and More Tejalkumari Tailor 13
SESUG 2025 Creating DOCX Tables and Listings using Office Open XML from SAS Eric Qi,
Suhas R. Sanjee		 11
SESUG 2025 Enhance flexibility and variability by utilizing an Intermediate Dataset when developing the ADaM Efficacy Dataset in Vaccine Studies Edward Boykis 6
SESUG 2025 Perfect Patient Profiles in SAS using ODS and the Graph Template Language (GTL) Joshua M. Horstman,
Richann J. Watson		 38
SESUG 2025 Statistical Programmer's role in Bioresearch Monitoring (BIMO) package creation Sampath Madanu 25
SESUG 2025 Worried about that Second Date with ISO? Using PROC FCMP to Convert and Impute ISO 8601 Dates to Numeric Dates Richann J. Watson 19
WUSS 2025 Around the Data DOSE-y Doe, How Much Fun Can Your Data Can Be: Using DOSExx Variables within ADaM Data Sets Inka Leprince,
Richann J. Watson		 source 13
WUSS 2025 Share your Macros and Programs via a SAS Studio GUI Interface Jim Box source 10
WUSS 2025 Worried about that Second Date with ISO? Using PROC FCMP to Convert and Impute ISO 8601 Dates to Numeric Dates Richann J. Watson source 19
PharmaSUG 2025 ADaM and TFLs for Drug-induced Liver Injury (DILI) Analysis Song Liu,
Rambabu Sura		 source 7
PharmaSUG 2025 Advanced Programming with R: Leveraging Tidyverse and Admiral for ADaM Dataset Creation with a Comparison to SAS Joshua J. Cook,
Richann J. Watson		 source 20
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 Automating Recurring Data Reconciliation for Serious Adverse Events Using SAS Patrick Dowe,
Gina Hird		 source 25
PharmaSUG 2025 Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables Anu Eldho source 7
PharmaSUG 2025 BDS Dataset with PARQUAL and PARQTYP Variables for Time-to-Safety Events Analysis Kang Xie source 9
PharmaSUG 2025 Building Robust R Workflows: Renv for Version Control and Environment Reproducibility Junze Zhang,
Joshua J. Cook		 source 17
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 Clinical Data Explorer: Transforming Clinical Data into Actionable Insights Karma Tarap,
Oriana Esposito,
Maheshkumar Umbarkar,
Ramnath Dhadage,
Tamara Martin		 source 6
PharmaSUG 2025 Clopper Pearson CI? get your data ready for it! Ruth Marisol Rivera Barragan,
Isaac Vazquez		 source 7
PharmaSUG 2025 Comparing SQL and Graph Database Query Methods for Answering Clinical Trial Questions with LLM-Powered Pipelines Jaime Yan source 24
PharmaSUG 2025 Cytokine Release Syndrome (CRS) - Data Collection, Clinical Database Integration and Analyses in a Dose Escalation Cell Therapy Trial Cyrille Correia,
Venky Chakravarthy		 source 13
PharmaSUG 2025 Data management and biostatistics synergy: how to achieve and what can be expected Diana Avetisian source 11
PharmaSUG 2025 Deciphering Exposure-Response Analysis Datasets: A Programmer-s Perspective for Oncology Studies Sabarinath Sundaram source 6
PharmaSUG 2025 Decoding Laboratory Toxicity Grading: Unlocking the Potential and Overcoming Challenges of CTCAE Xiaoting Wu,
Lei Zhao		 source 6
PharmaSUG 2025 Does SDTM Validation Really Require Double Programming? Sunil Kumar Gupta,
Tomás Sabat Stofsel		 source 5
PharmaSUG 2025 Enhance Safety Data Analysis Using SafetyGraphic R Package Vicky Yuan source 17
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 Hands-on Training: eTFL Portal & TFL Designer Community Bhavin Busa source 8
PharmaSUG 2025 Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing Bhavin Busa,
Navin Dedhia		 source 10
PharmaSUG 2025 Impact of Drug Accountability on Drug Compliance and Dose Intensity in Clinical Trials Vishal Gandhi,
Milan Adesara		 source 7
PharmaSUG 2025 Incorporating LLMs into SAS Workflows Samiul Haque,
Sundaresh Sankaran		 source 7
PharmaSUG 2025 Key guidelines, Tricks and Experiences for PMDA and comparison with FDA and CDE submission Ramesh Potluri source 6
PharmaSUG 2025 Leveraging Health Technology Assessment (HTA) for Market Access: A Statistical Programming Perspective on German HTA Submission Rachana Agarwal,
Wendy Wang		 source 5
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 Name That ADaM Dataset Structure Nancy Brucken source 8
PharmaSUG 2025 Productive Safety Signal Detection and Analysis using In-context Learning Sundaresh Sankaran,
Samiul Haque,
Sherrine Eid		 source 11
PharmaSUG 2025 Programming Challenges in Master Protocols Vijaya Jonnalagadda source 6
PharmaSUG 2025 R Programming in SAS LSAF: How to Generate Clinical Reports Using an R Session Praneeth Adidela source 12
PharmaSUG 2025 Share your Macros and Programs with SAS Studio Steps and Flows Jim Box,
Pritesh Desai		 source 9
PharmaSUG 2025 Shining a Light on Adverse Event Monitoring with R Shiny Abigail Zysk,
Joe Lorenz		 source 10
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 The Model Maketh the Metadata Carlo Radovsky source 19
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 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 Trying Out Positron: New IDE for Statistical Programming Philip Bowsher source 10
PharmaSUG 2025 Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS. Veronica Gonzalez source 15
PharmaSUG 2025 Worried about that Second Date with ISO? Using PROC FCMP to Convert and Impute ISO 8601 Dates to Numeric Dates Richann J. Watson source 19
PharmaSUG 2025 Writing SAS MACROs in R? R functions can help! Chen Ling,
Yachen Wang		 source 17
PHUSE US 2025 A New Approach to Visualize Adverse Events Eva Kelty source
presentation source		 3
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 Advancing Safety Evaluation in Oncology Trials Using Estimands Reshma Radhakrishnan,
Lakshmi Mantha		 source
presentation source		 8
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 your safety data reconciliation: An approach towards reliable and efficient SAE reconciliation process Ritu Dogra source
presentation source		 11
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 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 Effective Adverse Event Management Eva Kelty,
Catharina Dahlbo		 source
poster source		 6
PHUSE US 2025 Efficient TFL Review within Statistical Programming - Using R and SAS Siddharth Kumar source
presentation source		 8
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 End-to-End Therapeutic Area Data Standards Development and Governance - A Case Study Involving CRS and ICANS Yaling Teng source
presentation source		 7
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 Enhancing the (ASAP) Aggregate Safety Assessment Planning Framework with an Interactive R Markdown Application: Seeing is believing! Debopriya Ghosh source
presentation source		 7
PHUSE US 2025 Evaluation of Open-Source Technologies in Clinical Trial Reporting Jaimin Patel source
poster source		 7
PHUSE US 2025 Gen-AI for Statistical Reporting and Clinical Study Report (CSR) Writing Leveraging CDISC source
presentation source		 10
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 Harnessing the Power of R Shiny in a GxP-Compliant and Validated Manner for Clinical Trial Use Sanyogeeta Andhale,
Shilpa Sood		 source
presentation source		 13
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 Interactive Dashboards - Empowering Clinicians to Generate Reports Instantly Inderjeet Arora source
presentation source		 8
PHUSE US 2025 Interactive Visualisation of Pooled Clinical Trial Safety Data Sara Bodach,
Ling Zhang		 source
presentation source		 7
PHUSE US 2025 LLMs in Drug Development - The Future is Closer Than We Think Chris McSpiritt source
presentation source		 9
PHUSE US 2025 Mapping OMAP Data to SDTM - Use Case for RWD in CAR-T Registry Studies Kai Deng,
Joe Xi		 source
presentation source		 5
PHUSE US 2025 OpenRBQM Extended: Endpoint Monitoring, Root Cause Analysis and Workflows Spencer Childress,
Jeremy Wildfire		 source
presentation source		 4
PHUSE US 2025 Optimising AI Software for Automated Protection of Personal and Commercially Sensitive Data Honz Slipka source
poster source		 7
PHUSE US 2025 Optimising SDTM and ADaM: Remediation Techniques for Data Accuracy Kishore Pothuri source
presentation source		 10
PHUSE US 2025 Predictive Analytics for Adverse Event Underreporting Steven A. Gilbert source
presentation source		 10
PHUSE US 2025 Python's Future in Clinical Trials: Innovations and Collaborative Advancements Shweta Shukla,
Sohan Lal		 source
presentation source		 10
PHUSE US 2025 R Consortium's R-Based Test Submission Package for FDA Evaluation: A Milestone and a New Frontier in R-Based Regulatory Submissions Joel Laxamana source
poster source		 7
PHUSE US 2025 Real-World Examples of eCOA Compliance and Audit Trail Review Using Advanced Statistical Methodology Jamie O'Neill source
presentation source		 5
PHUSE US 2025 Regulatory Submissions - Exciting, Challenging, or Both? Ganeshchandra Gupta,
Randi McFarland		 source
presentation source		 5
PHUSE US 2025 Revolutionising Clinical Trials: Gen AI-Powered Biometrics Breakthroughs Kevin Lee source
presentation source		 6
PHUSE US 2025 Standardised and Automated Template for Dose Escalation Decision-Making Jasmina Uzunovic,
Aditi Qamra		 source
presentation source		 6
PHUSE US 2025 Synthetic Data Generation: A Process Paradigm Sundaresh Sankaran source
presentation source		 9
PHUSE US 2025 The Development of the CDISC eTFL Portal To Support the Adoption and Implementation of the Analysis Result Standard Bess LeRoy,
Bhavin Busa		 source
presentation source		 8
PHUSE US 2025 The Implementation of {teal} Shiny Apps for DMC Activities Zhen Wu,
Peng Zhang		 source
presentation source		 7
PHUSE US 2025 The Olympics of Data Ingestions Cathryn Herbst source
presentation source		 8
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 Topline Considerations for Double-Blind Trials Veena Palle,
Naresh Gopalkrishna		 source
poster source		 5
PHUSE US 2025 Using Large Language Models for Consistency Checking of Tables, Listings and Graphs Yingying Wei source
presentation source		 7
PHUSE US 2025 Wearable Technology: Enhancing Patient Monitoring and Real-World Evidence Bill Qubeck,
Sridhar Vijendra		 source
presentation source		 15
MWSUG 2024 Harnessing the Power of PROC CONTENTS and SELECT INTO: SEPARATED BY [presentation] Yanfang Pang source 17
PHUSE EU 2024 Accelerating Trial Startup: Automated Central Monitoring Visualisations and Safety Package Management Carsten Rødseth Barsøe,
Charlotte Bergknut		 source
presentation source		 4
PHUSE EU 2024 Advances in Clinical Table Creation - Python Updates Philip Bowsher,
Michael Chow		 source
presentation source		 12
PHUSE EU 2024 Artificial Intelligence Potential Use Cases in Clinical Data Engineering Deepak Pakalapati,
Mounika Pillamarapu		 source
presentation source		 8
PHUSE EU 2024 Auto-Generating the List of Tables from a Statistical Analysis Plan - A Case Study [presentation] Jaya Simha Inampudi,
Krishna Gopal		 source 14
PHUSE EU 2024 Bootstrap Simulation for Outlier Detection in Operational Site Metrics Using Patient Reassignment Björn Koneswarakantha source
presentation source		 3
PHUSE EU 2024 BY-lieve in better BY group tables Chris Spence source
presentation source		 10
PHUSE EU 2024 Data Curation Beyond Today's Standards Catharina Dahlbo,
Eva Kelty		 source
poster source		 5
PHUSE EU 2024 DaVinci: A Modular Framework for Interactive Data Exploration and Visualisation in Clinical Research Isabel Glauß,
Stefan Döring		 source
presentation source		 5
PHUSE EU 2024 Failed Clinical Trials: How to Benefit From Negative Experience Anna Amosova source
presentation source		 13
PHUSE EU 2024 Harmonization and Interoperability between OMOP CDM and CDISC SDTM Dhruba Sikdar source
presentation source		 8
PHUSE EU 2024 Leveraging Open Data and Machine Learning Enhanced Data Extraction for Clinical Trials Insight Hugo Bottois source
presentation source		 9
PHUSE EU 2024 Leveraging Shiny Modules for Modular and Scalable Web Applications for Clinical Trials/Research Sohan Lal,
Pinku Hooda		 source
presentation source		 10
PHUSE EU 2024 Navigate Clinical Study Report Tables and Listings - The iTable & iListing Project Katja Glass source
presentation source		 13
PHUSE EU 2024 Navigating and Building Bridges: A Framework for Clinical Programming Using Open-Source Tools Yash Ankurbhai Shah,
Kavitha Allala		 source
presentation source		 8
PHUSE EU 2024 Perl Regular Expressions in SDTM and ADaM Programming: Live Study Examples Pavol Valovic source
presentation source		 7
PHUSE EU 2024 Pre ADSL - Revolutionise Your ADaM Workflow Korak Datta,
Taniya Chatterjee		 source
presentation source		 8
PHUSE EU 2024 Resolving algorithmic SMQs - using AI chatbot and other techniques Corentin Le Scanff source
presentation source		 21
PHUSE EU 2024 Revolutionising Literature Reviews with a GPT-Assisted Tool: Enhanced Search, Extraction and Visualisation Yingjia Chen,
Martin Schaerer		 source
presentation source		 12
PHUSE EU 2024 Strategies to Improve Understanding of Estimands and Analysis Section of Statistical Analysis Plan Inderjeet Arora source
presentation source		 8
PHUSE EU 2024 The Challenges of Using Parent Study Data in a Long-Term Extension Study Kirsty Wall source
presentation source		 9
PHUSE EU 2024 The Development of the CDISC eTFL Portal to Support the Adoption and Implementation of the Analysis Results Standard Bess LeRoy,
Bhavin Busa		 source
presentation source		 8
PHUSE EU 2024 Visual Monitoring of Intercurrent Events with Heatmap [poster] Alona Bulana source 1
PHUSE EU 2024 {admiralvaccine} Project JouRney Federico Baratin,
Michael S Rimler		 source
presentation source		 8
SESUG 2024 Efficient Way to Create Adverse Event (AE) Summary Tables by System Organ Class (SOC) and Preferred Term (PT) using PROC SQL in SAS Hardik Sheth source 8
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 Statistical Programmers Role for SPM Analysis Marckenley Mercie,
Ce (Colin) Zhou		 source 11
WUSS 2024 Time Since Last Dose: Anatomy of a SQL Query Derek P. Morgan source 12
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG CN 2024 Application of Natural Language Processing with R in clinical trials Feifeng Zhou,
Zhenchao Chen		 source 11
PharmaSUG CN 2024 Enhancing Patient Profile Visualization through Clustering Algorithms: An Exploration of Smart Data Presentation Techniques Zhengyuan Wen,
Kang Zhao		 source 8
PharmaSUG CN 2024 General Considerations for Integrating ADaM Data and Special Handling of One Complex Case in ISS Niandong Yang source 7
PharmaSUG CN 2024 Implementation and tips on How to handle the ILD case in ADC trials Chen Lin Juan source 8
PharmaSUG CN 2024 Interactive analyses and displays for clinical data by utilizing a complete suite of analysis and reporting (A&R) tools via MedDRAH Zhiping Yan source 13
PharmaSUG CN 2024 Medical Coding with Large Language Models in the AI HI Paradigm Hao Chen,
Xuejie Zhou,
You Li		 source 8
PharmaSUG CN 2024 Navigating Statistical Programming Challenges in Early Phase Oncology Trials Dandan Du source 13
PharmaSUG CN 2024 The Imperative Role of Data Cut-Off (DCO) in Clinical Trials: Ensuring Integrity and Precision in Oncology Nana Yang,
Chunpeng CZ Zhao		 source 6
PharmaSUG 2024 A 'Shiny' New Perspective: Unveiling Next-Generation Patient Profiles for Medical and Safety Monitoring Helena Belloff,
William Lee,
Melanie Hullings		 source 8
PharmaSUG 2024 Advancing the Maturation of Standardized CRF Design Sugumaran Muthuraj,
Rubha Raghu		 source 9
PharmaSUG 2024 Amazing Graph Series: Swimmer Plot - Visualizing the Patient Journey: Adverse Event Severity, Medications, and Primary Endpoint Tracy Sherman,
Aakar Shah		 source 16
PharmaSUG 2024 Around the Data DOSE-y Doe, How Much Fun Can Your Data Can Be: Using DOSExx Variables within ADaM Data Sets Inka Leprince,
Richann J. Watson		 source 12
PharmaSUG 2024 Comparing SAS and R Approaches in Creating Multicell Dot Plots in Statistical Programming Yi Guo source 14
PharmaSUG 2024 Creating Adverse Event Tables using R and SASSY System Vicky Yuan source 11
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 Deep Dive into the BIMO (Bioresearch Monitoring) Package Submission Mathura P. Ramanathan,
Nancy Brucken		 source 8
PharmaSUG 2024 Demystifying Incidence Rates: A Step-by-Step Guide to Adverse Event Analysis for Novice Programmers Yuting Peng,
Ruohan Wang		 source 10
PharmaSUG 2024 Elevate Your Game: Leveling Up SDTM Validation with the Magic of Data Managers Julie Ann Hood,
Jen Manzi		 source 5
PharmaSUG 2024 Exploring the Application of FDA Medical Query (FMQ) in Visualizing Adverse Event Data Tongda Che,
Danfeng Fu		 source 12
PharmaSUG 2024 Interfacing with Large-scale Clinical Trials Data: The Database for Aggregate Analysis of ClinicalTrials.gov Joshua J. Cook,
Achraf Cohen		 source 16
PharmaSUG 2024 Lead-in and extension trials, how we documented datapoint traceability Hanne Ellehoj,
Veeresh Namburi		 source 5
PharmaSUG 2024 Leveraging SAS and Adobe Plug-in for CRF Bookmark Generation (Rave studies) Swaroop Neelapu source 12
PharmaSUG 2024 Oncology ADaM Datasets Creation Using R Programming: A Comprehensive Approach Ishwar Chouhan source 29
PharmaSUG 2024 Optimizing Clinical Data Processes: Harnessing the Power of Metadata Repository (MDR) for Innovative Study Design (ISD) and Integrated Summary of Safety (ISS) / Efficacy (ISE) Lakshmi Mantha,
Purvi Kalra,
Arunateja Gottapu		 source 9
PharmaSUG 2024 Periodic safety reports of clinical trials Murali Kanakenahalli,
Annette Bove,
Smita Sehgal		 source 8
PharmaSUG 2024 PHUSE Safety Analytics Working Group - Overview and Deliverables Update Nancy Brucken,
Mary Nilsson,
Greg Ball		 source 5
PharmaSUG 2024 Pictorial Representation of Adverse Events (AE) Summary - A new perspective to look at the AE data in Clinical Trials Pradeep Acharya,
Anurag Srivastav		 source 11
PharmaSUG 2024 Piloting data visualization and reporting with Rshiny apps Yun Ma,
Yifan Han		 source 7
PharmaSUG 2024 Relative Dose Intensity in Oncology Trials: A Discussion of Two Approaches Christiana Hawn,
Dhruv Bansal		 source 5
PharmaSUG 2024 Safety Signals from Patient Narratives PLUS: Augmenting Artificial Intelligence to Enhance Generative AI Value Sherrine Eid,
Sundaresh Sankaran		 source 14
PharmaSUG 2024 SDTM Specifications and Datasets Review Tips Wanchian Chen source 7
PharmaSUG 2024 Standardization of the Patient Narrative Using a Metadata-driven Approach Kuldeep Sen source 8
PharmaSUG 2024 Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] Flora Mulkey source 48
PharmaSUG 2024 Unravelling the SDTM Automation Process through the Utilization of SDTM Transformation Template Lakshmi Mantha,
Inbasakaran Ramesh		 source 11
PharmaSUG 2024 Updates on Preparing a BIMO Data Package Elizabeth Li,
Carl Chesbrough,
Inka Leprince		 source 17
PharmaSUG 2024 Your Guide to Successfully Upversioning CDISC Standards David Neubauer,
Kapila Patel,
Toral Patel,
Soumya Rajesh		 source 19
PHUSE US 2024 A Programmer's Perspective on Navigating the Hurdles of Investigator-Sponsored Research (ISR) Trials Jyotsna Lakshmikumar source
presentation source		 6
PHUSE US 2024 A SAS Tool for Generating Adverse Event Summaries in XML Format Using ADaM Datasets ADSL and ADAE for ClinicalTrial.gov and EudraCT Submissions [presentation] Karthika Bhavadas,
Shabeeb Kannattikuni		 source 23
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 Addressing Challenges in Structuring CDISC SDTM and ADaM Datasets to Report Adverse Events Spanning Two Treatment Periods Madhusudhan Reddy Papasani source
presentation source		 4
PHUSE US 2024 AI-Facilitated Monitoring Methods and Techniques to Enhance Participant Safety and Data Integrity Kris Wenzel,
Martin Bauwens		 source
presentation source		 6
PHUSE US 2024 Applying Machine Learning for Predicting Potential Adverse Events from Real-World Data Samiul Haque source
presentation source		 6
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 ChatGPT and AI/ML-Empowered Websites for All Jayapandian Nagamalaiyan source 5
PHUSE US 2024 Choose Your Own Adventure: A Data Story Jiwan Heo source
presentation source		 10
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 Digitisation of Specifications - Brave New World for Analysis Definitions Rebecca Bates,
Krishna Gopal		 source
presentation source		 6
PHUSE US 2024 Evaluating Safety Compliance in Clinical Trials by Leveraging Patient Narratives and Deep Learning Sherrine Eid,
Sundaresh Sankaran		 source
presentation source		 9
PHUSE US 2024 Exploring the Potential Use of Generative AI in the Regulatory Review Process [presentation] Qingying Ally Lu,
Kathryn Matto		 source 19
PHUSE US 2024 Getting Started with the New CDISC Analysis Results Standard Bess LeRoy,
Bhavin Busa,
Richard Marshall		 source
presentation source		 4
PHUSE US 2024 Good Statistical Monitoring {gsm}: An R Package for Risk-Based Monitoring and Clinical Trial Analytics Matt Roumaya,
Jeremy Wildfire		 source
presentation source		 5
PHUSE US 2024 Journey of Reactogenicity Data from EDC to SDTM to Analysis Datasets Charumathy Sreeraman source
presentation source		 10
PHUSE US 2024 Large Language Models to Support RBM and Clinical Trial Development Sebastiaan Höppner,
Laura Trotta		 source
presentation source		 5
PHUSE US 2024 Leveraging GitHub Actions and Continuous Integration in R Package Qualification Matt Roumaya,
Michael Stackhouse		 source
presentation source		 4
PHUSE US 2024 Mapping Real-World Data (RWD) to SDTM Samples for External Control Arm or Registry Studies Joe Xi,
Kevin Yang		 source
presentation source		 3
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 Redefining 'Interactive' Dashboards to Enhance Safety Data Review Andrew McGowan source
presentation source		 7
PHUSE US 2024 Teal as an Open-Source Tool Accelerates Clinical Trial Data Research at GSK Jeffrey Long source
presentation source		 7
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 Ups, Downs, and FDA Crowns - Lessons Learned from BIMO Submission Adventures! [presentation] Sushant Thakare source 21
PHUSE US 2024 USUBJID Challenges: Representing Multiple Participations for Analysis and Reporting Emily Bernstein-Hanlon,
Sirisha Davuluri		 source
presentation source		 9
PHUSE EU 2023 A Beginner's Guide to Overcome the Attrition Bias in Clinical Research: The Method of Inverse Probability of Attrition Weighting (IPAW) Parichay Srivastava source
presentation source		 9
PHUSE EU 2023 Analysis and Reporting of Immunogenicity Anti-drug Antibody Data Nicola Perry source
poster source		 6
PHUSE EU 2023 Building a Large-Scale Clinical Trial's IT System with In-House Software and OpenClinica Sonja Grotjahn,
Allen Young		 source
presentation source		 7
PHUSE EU 2023 Development Safety Update Report (DSUR)/Periodic Safety Update Report (PSUR) Phillip Spowart 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 Experiencing the FDA CBER Merve Akram,
Angelo Tinazzi		 source
presentation source		 9
PHUSE EU 2023 Handling Missing Data in Exploratory Analyses Using RWD: 'Collect the Data You Love or Love the Data You Get' - A Case Study [presentation] Jean-Marc Ferran source 22
PHUSE EU 2023 How Can Python Be Used in Clinical Trials? Andrés Käsa,
Matt Davies,
Pierre Dostie		 source
presentation source		 21
PHUSE EU 2023 Human BioGeography: predicting clinical trials outcome using a 3D human body simulation with a GIS framework Diego Caso,
Rocio Matesanz Sanchez,
PhD Student		 source
presentation source		 6
PHUSE EU 2023 Implementation of Estimands Using Data Standards [presentation] Chris Price,
Alexandra Cochinaire		 source 26
PHUSE EU 2023 Implementation of MedDRA upgrade in SDTM: a SAS-based approach Mahmoud Abu Azoum source
presentation source		 5
PHUSE EU 2023 Knowledge Graphs for Clinical Trials Eva Kelty,
Anders Högberg		 source
presentation source		 3
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 R You Ready to Join the RBQM Revolution? Introducing rbqmR Jeremy Howells,
Rohan Palanganda		 source
presentation source		 4
PHUSE EU 2023 Real-Time Safety and Medical Review by Integrating Data Visualisations with an SCE Shivoy Pandita,
Santhoshi Madeswaran		 source
presentation source		 8
PHUSE EU 2023 Synthesise Your SDTMs! Realistic Simulated SDTMs When You Need Them Matthew Travell source
presentation source		 7
PHUSE EU 2023 Unleashing the Role of a Statistical Programmer in Expediting a Submission, Novartis Sowmya Singuluri source
presentation source		 7
WUSS 2023 Generation of AE (Adverse Events) summary tables by worst CTC Grade utilizing SAS Ballari Sen source 14
WUSS 2023 How to Understand Therapeutic Area User Guide for Reactogenicity Events in Vaccine Studies Yanwei Han source 9
WUSS 2023 TARDIS: Tracking Alterations and Record Differences in SAS, a Macro to Add Color to Your Dataset Comparisons Inka Leprince source 21
WUSS 2023 Visualizing Insights, Empowering Discoveries: SAS Viya Unleashed in Life Science Analytics Matthew J. Becker source 13
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 Data Management and Analysis of Adverse Events Data using SAS ARRAY, IF-THEN, DO LOOP, and MACRO Statements Amita Patil source 6
PharmaSUG 2023 A Macro to Mark Invalid PK Data Observations for Exclusion Timothy J. Harrington source 10
PharmaSUG 2023 A Pain in My ISR - A Primer on Injection Site Reactions Kjersten Offenbecker,
Fox Mulder		 source 11
PharmaSUG 2023 A utility to combine study outputs into all-in-one PDF for DSUR Wei Shao source 8
PharmaSUG 2023 All You Need to Know about the New CDISC Analysis Results Standards! Bhavin Busa,
Richard Marshall,
Bess LeRoy		 source 7
PharmaSUG 2023 Amazing Graph Series: Butterfly Graph Using SGPLOT and GTL Tracy Sherman,
Aakar Shah		 source 16
PharmaSUG 2023 Automating SDTM: A metadata-driven journey. Keith Hibbetts source 11
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 Bringing it All Together: Applying the Analytics Life Cycle for Natural Language Processing to Life Sciences Sundaresh Sankaran,
Tom Sabo		 source 15
PharmaSUG 2023 Deep Learning to Classify Adverse Events from Patient Narratives Tom Sabo,
Sundaresh Sankaran,
Qais Hatim		 source 11
PharmaSUG 2023 Guidelines for the Statistical Analysis in German Dossier Submissions Meiling Gao,
Xi Qian,
Hui Mao		 source 8
PharmaSUG 2023 Handling of Vaccine SDTM Data for FDA CBER/OVRR Submission Compliance Pragathi Mudundi,
Zhaoyu Xie		 source 5
PharmaSUG 2023 Have Meaningful Relationships: An Example of Implementing SDTM Special Purpose Data Set RELREC with a Many-to-Many Relationship Kaleigh Ragan,
Richann J. Watson		 source 11
PharmaSUG 2023 Introducing TFL Designer: Community Solution to Automate Development of Mock-up Shells and Analysis Results Metadata [presentation] Bhavin Busa,
Navin Dedhia		 source 13
PharmaSUG 2023 Key Safety Assessments following Chimeric Antigen Receptor (CAR) T-cell Therapy in Early Development Oncology Leanne Tenry,
Tamara Martin,
Olga Belotserkovsky,
Ce Zhou,
Ouying (Abraham) Zhao		 source 13
PharmaSUG 2023 Let the Data Drive it and set your hands free - A Macro to create indicators for Special Interest AEs Yiwei Liu,
Jameson Cai		 source 6
PharmaSUG 2023 Life Table Analysis for Time to First Event Onset Abhinav Srivastva source 11
PharmaSUG 2023 Methods of a Fully Automated CONSORT Diagram Macro %CONSORT Jeffrey P. Meyers source 21
PharmaSUG 2023 OCS Update: OCS Clinical Services & the Traceability Assessment Jesse Anderson source 25
PharmaSUG 2023 Optimizing Efficiency and Improving Data Quality through Meaningful Custom Fix Tips and Explanations Jen Manzi,
Julie Ann Hood		 source 7
PharmaSUG 2023 PHUSE Safety Analytics Working Group - Overview and Deliverables Update Nancy Brucken,
Clio Wu,
Mary Nilsson,
Greg Ball		 source 5
PharmaSUG 2023 Programmer-s Perspective: Step into Awareness Regarding Clinical Trial Deliverables and Their Impact Lyma Faroz,
Jinit Mistry		 source 10
PharmaSUG 2023 R Tables via GT for Regulatory Submissions Philip Bowsher source 19
PharmaSUG 2023 Real Time Analytical Reporting Using OpenFDA Shubhranshu Dutta source 8
PharmaSUG 2023 SDTM Variables You Might Forget About Nadiia Pukhliar,
Dariia Tsyhanenko,
Iryna Kotenko		 source 10
PharmaSUG 2023 Standardization of Reactogenicity Data into Findings Charumathy Sreeraman source 9
PharmaSUG 2023 Statistical Considerations and Methods for Handling Missing Outcome Data in Clinical Trials During the Era of COVID-19 Xi Qian,
Chengfei Lu		 source 11
PharmaSUG 2023 Why FDA Medical Queries (FMQs) for Adverse Events of Special Interest? Implementation and Case Study Clio Wu source 12
PHUSE US 2023 ADAE Design for Multiple Phase Trial Deepak S. Grewal source
presentation source		 4
PHUSE US 2023 Beyond k-anonymity for Clinical Trial Data Anonymisation [presentation] Parvee Kumar,
Diwakar Angra		 source
video		 17
PHUSE US 2023 Challenges Addressing CBER Guidance on Reactogenicity, from Collection to Analysis Sandra VanPelt Nguyen,
Emily Bernstein-Hanlon		 source
presentation source		 12
PHUSE US 2023 Conditional Branching in QRS Data and How to Represent It [presentation] Dana Booth,
Steve Kopko		 source
video		 39
PHUSE US 2023 Connecting Tables, Listings and Figures [presentation] Stella Guo source
video		 11
PHUSE US 2023 Data Handling of CTCAE Toxicity Grade Made Easier - A Metadata-driven Approach by SAS Macro [presentation] Zhaoyu Xie,
Pragathi Mudundi		 source 18
PHUSE US 2023 FDA Dataset Walkthrough - Statistical Programming Perspectives Ketan Durve,
Rachit Desai		 source
presentation source		 7
PHUSE US 2023 FORESTLY - An R Package to Generate Interactive Forest Plots Bingjun Wang,
Yilong Zhang		 source
presentation source		 14
PHUSE US 2023 Friends Don't Let Friends Make Ugly Dashboards [presentation] Marcia Powers,
Deidre Kreifels		 source
video		 14
PHUSE US 2023 Increase an EDC's Efficiency and Ease of Use through an End-to-end Trial Designer [presentation] Diego Caso,
Jose C. Lacal		 source
video		 17
PHUSE US 2023 Incremental Automation - Lessons from a Pragmatic and Agile Journey of Improvement [presentation] Todd Bazin,
Anuja Das		 source
video		 31
PHUSE US 2023 Interactive Data Visualisation: A Tool for Common Clinical Study Figures and SAP Figure Shells Ji Qi,
Qisen Luan		 source
presentation source		 10
PHUSE US 2023 Navigating in an Information Graph Eva Kelty source
presentation source		 2
PHUSE US 2023 Patient Narratives (with R) [poster] Vahe Martirosyan,
Lilit Torosyan		 source 1
PHUSE US 2023 PHUSE Safety Analytics Working Group - Overview and Summary of Ongoing Projects [poster] Clio Wu,
Mary Nilsson		 source 1
PHUSE US 2023 Risk Management Plan (RMP) Tables Using R Diana Tai,
Marckenley Mercie		 source
poster source		 8
PHUSE US 2023 Tidytlg: An R Package for Clinical Reporting Using Tidyverse Sheng-Wei Wang source
presentation source		 9
PHUSE US 2023 Use Python to make Clinical Trial Result Posting automatically Derek Li source
presentation source		 6
PHUSE US 2023 Using Real-world Data and Synthetic Data to Predict Study Outcomes, Submission Performance and Market Effectiveness [presentation] Jose C. Lacal,
Stuart Malcom		 source
video		 15
PHUSE EU 2022 Advanced SAS techniques to Generate Automated Topline RTF Reports - Used Daily by PMs Mizan Alam source
presentation source		 15
PHUSE EU 2022 Best Practices for Automated Delivery Set-up, from Raw Data to CRT, with Methods to Standardise and Streamline Programming and Delivery Processes [presentation] Daniel Carden source
video		 21
PHUSE EU 2022 Clinical Data Standards and Production of SDTMs. Are We Missing Important Points? [presentation] Eva Stigson,
Paulina Kuczkowska		 source 15
PHUSE EU 2022 Collaboration Between Analytical Health Care Technology Leaders will Positively Impact Clinical Trial Research Innovation & Improve Health Care System [presentation] Mark Lambrecht,
Andrew Warrington		 source
video		 19
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 Effective NLP API Access to Unstructured Text for Downstream Analysis and Models in Pharma: Bench to Bedside [presentation] Jane Reed source
video		 26
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 How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] Alexey Kuznetsov,
Jorine Putter		 source
video		 15
PHUSE EU 2022 If you want to deliver standardised clinical data sets quickly, talk to the machine Chris Austin,
Michael Phillips		 source
presentation source		 6
PHUSE EU 2022 Maturing standardisation; the switch from spreadsheet-based standards to an MDR Louella Schoemacher,
Jasmine Kestemont		 source
presentation source		 5
PHUSE EU 2022 Overcoming Challenges of Your Integrated Summary ISS/ISE Submissions Jenet Cp,
Akhil Vijayan		 source
presentation source		 7
PHUSE EU 2022 Patient Narratives - Speeding Up Narrative Generation Using ODS Document Stores Neville Cope source
presentation source		 14
PHUSE EU 2022 Processing Data and Documents with Natural Language Processing and Quantitative Anonymisation Strategies in Support of CTIS Disclosure Requirements [presentation] Elliot Zimmerman,
John Lyons		 source
video		 25
PHUSE EU 2022 The Integration Dilemma Angelo Tinazzi source
video
presentation source		 15
PHUSE EU 2022 Using R to Write Patient Narratives Narek Torosyan source
presentation source		 3
SESUG 2022 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
SESUG 2022 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
SAS Explore 2022 SAS Visual Text Analytics: Exploring Literature for Drug Safety Signals [video] Ari Zitin source
youtube
WUSS 2022 Cautionary Notes when Working with Interim Data Bill Coar source 8
WUSS 2022 Child Data Set: An Alternative Approach for Analysis of Occurrence and Occurrence of Special Interest Lindsey Xie,
Richann J. Watson,
Jinlin Wang,
Lauren Xiao		 source 15
WUSS 2022 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
WUSS 2022 Quick Jumpstart into Pharmaceutical SAS Programming Jim Box,
Matthew J. Becker		 source 7
WUSS 2022 Standardised MedDRA Queries (SMQs): Beyond the Basics; Weighing Your Options Richann J. Watson,
Karl Miller		 source 8
WUSS 2022 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
WUSS 2022 Time Since Last Dose: Anatomy of a SQL Query Derek P. Morgan source 12
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 Practical Approach to Preparing Documentation for Clinical Registries Jennifer McGrogan,
Rex Tungala,
Mario Widel		 source 16
PharmaSUG 2022 A Programmer's Perspective on Patient reported Outcomes in Oncology Trials Divya Vemulapalli source 7
PharmaSUG 2022 ADaM Child Data Set: An Alternative Approach for Analysis of Occurrence and Occurrence of Special Interest Lindsey Xie,
Richann J. Watson,
Jinlin Wang,
Lauren Xiao		 source 15
PharmaSUG 2022 Automation using SAS Makes it Easy to Monitor Dynamic Data in Clinical Trial Wenjun He source 9
PharmaSUG 2022 Avoid Common Mistakes in Preparing the BIMO Deliverables Chintan Pandya,
Himanshu Patel		 source 9
PharmaSUG 2022 Checking Compliance of CDISC SDTM Datasets Utilizing SAS Procedures. Ballari Sen source 17
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 Fast hashes for complex joins Bartosz Szymecki source 12
PharmaSUG 2022 FDA Advisory Committee Meetings - A Statistical Programmer's Survival Guide Phil Hall source 8
PharmaSUG 2022 Following Your Footsteps: Maintaining Traceability in ADaM Datasets Nancy Brucken,
Karl Miller		 source 58
PharmaSUG 2022 Getting odds ratio at Preferred Term (PT) level for safety analysis in R Kamleshkumar Patel,
Jigar Patel		 source 4
PharmaSUG 2022 How to create BARDA Safety report for Periodic review Mrityunjay Kumar,
Dnyaneshwari Nighot,
Nitish Kumar,
Ganeshchandra Gupta		 source 5
PharmaSUG 2022 Introduction to Annual Reporting for Beginners! Akshita Gurram,
Mamatha Mada		 source 8
PharmaSUG 2022 Making an ADaM Dataset Analysis-Ready Sandra Minjoe source 10
PharmaSUG 2022 SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings Inka Leprince,
Elizabeth Li,
Carl Chesbrough		 source 19
PharmaSUG 2022 Standardised MedDRA Queries (SMQs): Beyond the Basics; Weighing Your Options Richann J. Watson,
Karl Miller		 source 8
PharmaSUG 2022 Unravel the mystery around NONMEM data sets for statistical programmers Sabarinath Sundaram,
Lyma Faroz		 source 9
PharmaSUG 2022 Upgrading from Define-XML 2.0 to 2.1 Trevor Mankus source 6
PharmaSUG 2022 Using R-Shiny Capabilities in Clinical Programming to create Applications Prakasam R,
Sujatha Kandukuri,
Tyagrajan Swaminathan		 source 12
PHUSE US 2022 Collection, Standardization, and Reporting of Adverse Events with Toxicity Changes Using CDISC Standards in Oncology Clinical Trials Madhusudhan Reddy Papasani,
Swathi Kotla,
Elisabeth Pyle		 source
video
presentation source		 12
PHUSE US 2022 Define and Explore Patient Cohorts [presentation] Catharina Dahlbo,
Eva Kelty		 source 9
PHUSE US 2022 Intuitive Querying of a Graph Database [presentation] Catharina Dahlbo,
Eva Kelty		 source 10
PHUSE US 2022 Programming and Reporting on a Master Protocol in Cell and Gene Therapy Rabia Ahmad,
Amit Jain		 source
video
presentation source		 10
PHUSE US 2022 RBM - The New Normal Vigilante for CROs With AI and ML [presentation] Vidya Muthukumar source 18
PHUSE US 2022 Real-time Interactive Dashboard for Clinical Trials [presentation] Kris Liu source 9
PHUSE US 2022 Safety First, Agility Comes: Challenges and Solutions to Fulfilling IND Safety Requirements Hong Wang,
Ke Xiao		 source
presentation source		 7
PHUSE US 2022 The Bioresearch Monitoring Data Reviewer's Guide (BDRG) [presentation] Julie Maynard,
Sopan Dharma Kaith		 source 25
PHUSE US 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 [presentation] Hugh Donovan,
Naama Feilchenfeld		 source
video		 16
PHUSE US 2022 Volcano Plot for Adverse Event Analysis in R [presentation] Kamleshkumar Patel source
video		 15
PHUSE EU 2021 Advanced Excel Specification for Automatic SDTM Generation Aleksandra Gorbunova,
Ilya Mishchenko		 source
video
presentation source		 10
PHUSE EU 2021 CDISC Analysis Results Standard Team: Enhancing Analysis Results and Traceability [presentation] Bess LeRoy,
Jeffrey M. Abolafia		 source
video		 41
PHUSE EU 2021 Do's and Don'ts for PRCI Submissions [poster] Parvee Kumar source
video		 1
PHUSE EU 2021 Engineering an MDR of the Future [presentation] Ali Dootson,
Mike Grove		 source
video		 19
PHUSE EU 2021 Implementation of a flat model for reactogenicity events in vaccine studies Charumathy Sreeraman,
Ephicacy Lifescience		 source
video
presentation source		 7
PHUSE EU 2021 Metadata: Errors Not Detected by the Pinnacle 21 Tool [presentation] Caroline Pelckmans,
Pamphile Beaujean		 source
video		 20
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 Standing Room Only: AR02: The Importance of Being Ernest - The Role of QTLs in QbD [presentation] Andrew Lawton source 19
PHUSE EU 2021 Transforming Reporting - A Journey into Web Technology for Listing Generation [presentation] Joseph Rowley,
Kartik Rajan		 source
video		 23
PHUSE EU 2021 Using Modular Programming to Create Mean Plots and Adverse Event Frequency Plots [presentation] Claus Stenberg source
video		 28
PHUSE EU 2021 Utilising LSAF for Data Management at a Belgian Biotech Louella Schoemacher source
video
presentation source		 7
SESUG 2021 Different Ways to Create Patient Profiles Hengwei Liu source 8
SESUG 2021 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
SESUG 2021 Getting Started with DATA Step Hash Objects Joshua M. Horstman source 8
PHUSE US 2021 Automate Scientific Document such as CSR Generation using ML/NLP [presentation] Farha Feroze source
video		 13
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 Automation of Patient Narratives Using Natural Language Generation [presentation] Sam Tomioka,
Shiva Katepalli		 source
video		 16
PHUSE US 2021 Controlled Terminology Best Practices [presentation] Sarah Angelo source
video		 29
PHUSE US 2021 CSR Narratives Automation [presentation] Ritesh Dhimmar source
video		 23
PHUSE US 2021 Do EudraCT the Easy Way: Semi-automation of Inputting Study & Treatment Event Information in EudraCT [presentation] Kevin Miller,
Larry Sleeper		 source
video		 21
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 Graphs Made Easy Using SAS Graph Template Language Manohar Modem source
video
presentation source		 27
PHUSE US 2021 How Will Knowledge Graphs Improve Clinical Reporting Workflows? [presentation] Alexey Kuznetsov,
Jorine Putter		 source 9
PHUSE US 2021 Indenting Lengthy Text Strings in PROC REPORT Outputs [presentation] Jeppe Juul,
Kavita Math		 source
video		 19
PHUSE US 2021 Leveraging Standard Analytics in Central Monitoring: The Good, The Bad, & The Ugly [presentation] Angela Geiger,
Arianna Galli		 source
video		 20
PHUSE US 2021 Power BI in Clinical Data Exploration: Powerful Visuals that Answer Relevant Questions Lotte Jacobs,
Roxane Debrus		 source
video
presentation source		 10
PHUSE US 2021 Regulatory Update & Townhall [presentation] Ethan Chen source 28
PHUSE US 2021 SDTM, ADaM and Database Normal Forms Implementation [presentation] Andrii Borzenkov source
video		 21
PHUSE US 2021 Template of Analysis Reviewer's Guide in Oncology [presentation] Hong Qi,
Mary N. Varughese		 source
video		 19
PHUSE US 2021 The Case for Pandemic-disrupted Studies and Challenges Implementing CDISC and FDA COVID-19 Guidelines for NDA Submissions [presentation] Vidya Muthukumar source 44
PHUSE US 2021 The Encoding Dilemma Angelo Tinazzi source
video
presentation source		 10
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 Using Natural Language Processing to Create Subject Safety Narratives [presentation] Frank Meloni,
Tim Willittes		 source
video		 8
PHUSE US 2021 Visualizations to Support DSMB Monitoring [presentation] Derek Coombs source
video		 14
PharmaSUG 2021 BIMO SAS Macros and Programming Tools Mi Young Kwon,
Rohit Kamath		 source 12
PharmaSUG 2021 Common Dating in R: With an example of partial date imputation Teckla Akinyi source 14
PharmaSUG 2021 Creating Patient Profiles Using SAS Software: Proc Report & SAS ODS Ballari Sen source 13
PharmaSUG 2021 Generating FDA-ready Submission Datasets directly from EHRs Jozef Aerts source 9
PharmaSUG 2021 Generating Synthetic CDISC Clinical Trial Data. Jose C. Lacal source 14
PharmaSUG 2021 Generating the Demographics and Adverse Event Tables Using Excel and VBA David W. Franklin source 9
PharmaSUG 2021 Graphical Representation of Clinical Data using Heat Map Graph Pavani Potuganti,
Sree Nalluri		 source 10
PharmaSUG 2021 Graphs Made Easy Using SAS Graph Template Language Manohar Modem,
Bhavana Bommisetty		 source 31
PharmaSUG 2021 Interactive Clinical Dashboards using R Studio Syam Prasad Chandrala,
Chaitanya Chowdagam		 source 20
PharmaSUG 2021 Life After Drug Approval... What Programmers Need to Know About REMS Cara Lacson,
Carol Matthews		 source 11
PharmaSUG 2021 Macro Development from Design to Implementation Applied to Occurrence Data Frequency Analysis Chengxin Li,
Michael Pannucci,
Toshio Kimura		 source 9
PharmaSUG 2021 Make Your Life Easy! How SpotFire and SAS together can help with better Data Review and Data Quality Raj Sharma source 12
PharmaSUG 2021 Making Customized RTF Output with R Package r2rtf Huei-Ling Chen,
Heng Zhou,
Madhusudhan Ginnaram,
Yilong Zhang		 source 12
PharmaSUG 2021 Multiple Successful Submissions of Medical Device Clinical Trial Data in the US and China using CDISC Phil Hall,
Tikiri B. Karunasundera,
Subendra Maharjan,
Vijaya Vegesna		 source 10
PharmaSUG 2021 Patient Registries - New Gold Standard for Real World Data Neha Srivastava,
Lavanya Peddibhotla,
Sivasankar Konda		 source 5
PharmaSUG 2021 Thwarting Nasties David W. Franklin source 12
PharmaSUG 2021 Untangling the Knot - Implementing Analysis Results Standards (Using SAS) Hansjörg Frenzel source 10
SGF 2021 Deep Learning to Classify Adverse Events from Patient Narratives [presentation] Qais Hatim,
Tom Sabo		 source 19
SGF 2021 Developing a SAS Deep Learning MedDRA encoder (MedDRA-DeepCoder) for Patient Narratives Qais Hatim source 11
SGF 2021 Methods of a Fully Automated CONSORT Diagram Macro %CONSORT Jeffrey P. Meyers source
sas
txt
presentation		 20
PHUSE EU 2020 A Novel Way of Creating Tables in R [presentation] Adrian Waddell source
video		 42
PHUSE EU 2020 A Two-step Procedure - Select and Act - How Does it Work? Catharina Dahlbo,
Eva Kelty		 source
video
poster source		 8
PHUSE EU 2020 AI-assisted Medical Coding [presentation] Christian S. Christensen,
Thomas Ellebaek		 source
video		 20
PHUSE EU 2020 Application to Automate CSR Generation Using ML/NLP [presentation] Eric Weising,
Farha Feroze		 source
video		 10
PHUSE EU 2020 Graph Data Representation - The FAIRest of Them All [presentation] Eva Kelty,
Peter Tormay		 source
video		 25
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 Let food be thy medicine and medicine be thy food Fatima Kassim source
video
presentation source		 8
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 MI FOR MI, OR HOW TO HANDLE MISSING INFORMATION WITH MULTIPLE IMPUTATION Daria Shamaida source
video
presentation source		 8
PHUSE EU 2020 Novel eCRF Study Template to Support Adaptive Design Studies in Medidata Rave [presentation] Nele Claes,
Ray Lacchman		 source
video		 29
PHUSE EU 2020 Patient Insights and Real-world Data from Social Media [presentation] Luisa Regenold,
Soundarya Palanisamy		 source
video		 28
PHUSE EU 2020 Power BI in Clinical Data Exploration: Powerful Visuals that Answer Relevant Questions Roxane Debrus source
video
presentation source		 11
PHUSE EU 2020 Preparing for FDA and PMDA Submission Simultaneously - What to Leverage, How to Deal with the Differences Efficiently [presentation] Jasmine Kestemont source
video		 22
PHUSE EU 2020 Python for Word Processing Katja Glass source
video		 8
PHUSE EU 2020 SUPPQUAL Datasets: The Good, the Bad and the Ugly [presentation] Sergiy Sirichenko source
video		 40
PHUSE EU 2020 Template-based Graph Generation in Python and its Maintenance in Git [presentation] Pournima Prabhakaran source
video		 21
SESUG 2020 A Game Plan for Beating the IF-THEN-ELSE Overhead in DATA Steps Jason J. Su source 20
SESUG 2020 Analysis and Reporting of Reactogenicity Events in Vaccine Clinical Trials Amarnath Vijayarangan,
Sarah G. Anderson,
Santhiya Poongavanam		 source 9
SESUG 2020 Creating Data Listings Utilizing PROC Procedures Ballari Sen source 9
SESUG 2020 Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF Christopher J. Smith source 25
SGF 2020 Applications of DOW Loop: Extension to PROC REPORT Neha Yadav,
Pranathi Salla		 source 11
SGF 2020 Expressions in Graph Template Language and Other Tips Prashant Hebbar source 16
SGF 2020 Let's See Further than One Observation: Applying Hash Objects for Typical Clinical Programming Tasks Valeriia Oreshko source 10
SGF 2020 Semi-automatic Feature Engineering from Transactional Data James A. Cox,
Biruk Gebremariam,
Tao Wang		 source 17
SGF 2020 Statistical Programming in the Pharmaceutical Industry: Advancing and Accelerating Drug Development Harper Forbes source 10
SGF 2020 Transdermal Medicine - Challenges and Solutions with SAS Marina Komaroff source 14
SGF 2020 Upgrading Clinical Trial Reports from ODS LISTING to ODS TAGSETS.RTF Christopher J. Smith,
Joshua M. Horstman		 source 25
SGF 2020 Write SAS to Generate SAS: Three Code-Generating Techniques for Many Automation Solutions Yun (Julie) Zhuo source 18
PharmaSUG 2020 An Effective Management Approach for a First-Time Study Lead Himanshu Patel,
Jeff Xia		 source 10
PharmaSUG 2020 An Overview of Medical Device Data Standards Shilpakala Vasudevan source 5
PharmaSUG 2020 Demystifying SDTM OE, MI, and PR Domains Lyma Faroz,
Sruthi Kola		 source 8
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 How to Achieve More with Less Code Timothy J. Harrington source 13
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 Macro for controlling Page Break options for Summarizing Data using Proc Report Sachin Aggarwal,
Sapan Shah		 source 7
PharmaSUG 2020 One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning Carey G. Smoak source 5
PharmaSUG 2020 Programming Patient Narratives Using Microsoft Word XML files Yuping Wu,
Jan Skowronski		 source 9
PharmaSUG 2020 R for Clinical Reporting, Yes - Let's Explore it! Hao Meng,
Yating Gu,
Yeshashwini Chenna		 source 16
PharmaSUG 2020 r2rtf - an R Package to Produce Rich Text Format (RTF) Tables and Figures Siruo Wang,
Keaven Anderson,
Yilong Zhang,
Simiao Ye		 source 15
PharmaSUG 2020 Risk-based and Exposure-based Adjusted Safety Incidence Rates Qiuhong Jia,
Fang-Ting Kuo,
Chia-Ling (Ally) Wu,
Ping Xu		 source 8
PharmaSUG 2020 Standardised MedDRA Queries (SMQs): Programmers Approach from Statistical Analysis Plan (SAP) to Analysis Dataset and Reporting Sumit Pratap Pradhan source 18
PharmaSUG 2020 Successful US Submission of Medical Device Clinical Trial using CDISC Phil Hall source 6
PharmaSUG 2020 SUPPQUAL Datasets: Good Bad and Ugly Sergiy Sirichenko source 14
PharmaSUG 2020 Using R Markdown to Generate Clinical Trials Summary Reports Radhika Etikala,
Xuehan (Emily) Zhang		 source 10
PharmaSUG 2020 Why Are There So Many ADaM Documents, and How Do I Know Which to Use? Sandra Minjoe source 10
PHUSE US 2020 Adverse Event and Treatment Emergent Approaches in the Industry Aimee Basile source
poster source		 11
PHUSE US 2020 An Overview of the OCS Core DataFitness Assessment Service David Jacobs,
Janie Ma		 source
poster source		 6
PHUSE US 2020 Analysis Studio: A Tool Framework for Supporting Regulatory Review Andrea Arbelaez,
Peter Glass,
Derek Ahneman		 source
presentation source		 7
PHUSE US 2020 Common Data Quality Issues Seen During FDA's JumpStart Service Aaron Belowich,
Andrea Arbelaez		 source
presentation source		 7
PHUSE US 2020 Complexities in Adhering to Data Standards for ISS NDA Submissions Vidya Muthukumar source
presentation source		 3
PHUSE US 2020 Data Visualization for Medical Review Bharath Sunkavalli source
presentation source		 4
PHUSE US 2020 End-to-End Interactive TLF Using R Shiny Rohit Banga source
presentation source		 13
PHUSE US 2020 eSource Arising: Clinical Data Automation Possibilities Beyond Data Capture Sofie Stynen,
Annelies Van Zeveren		 source
presentation source		 8
PHUSE US 2020 Getting e-Closer to Multi-Regional Clinical Trials Lily Ling,
Yuan Yuan Dong,
Yanhong Li		 source
presentation source		 5
PHUSE US 2020 How to Handle the Challenges for the Content of Specific Datasets in FDA Submission for HIV Drugs Fangfang Du source
presentation source		 6
PHUSE US 2020 Implementing New Technical Guidance: A Sponsor Experience with the April 2018 CBER Vaccine Guidance Liping Zhang,
Sandra VanPelt Ngyuen		 source
presentation source		 8
PHUSE US 2020 Incidence Rate - Incidence Proportion Prevalence Rate and Other Related Statistics Nadiia Pukhliar source
presentation source		 7
PHUSE US 2020 Interactive Adverse Event Data Visualization Using R Shiny Aditya Rachoori,
Mukul K Mittal		 source 9
PHUSE US 2020 Machine Learning for CDISC Specification Recommendations S. Preston Burns source
presentation source		 7
PHUSE US 2020 No more merging! (property graph database demystified) Alexey Kuznetsov source
presentation source		 11
PHUSE US 2020 Quarterly Safety Reporting: Timely Analysis of Clinical Safety Data Using Qlik Sense Software Yvonne Denkins source
presentation source		 8
PHUSE US 2020 SUPPQUAL Datasets: Good Bad and Ugly Sergiy Sirichenko,
Blue Bell		 source
presentation source		 13
PHUSE US 2020 The JumpStart Traceability Assessment Tejas Patel,
Sarah Ferkov		 source 10
PHUSE US 2020 Using Machine Learning for Automated Monitoring of Social Media for Pharmacovigilance Rohit Banga source
presentation source		 7
PHUSE US 2020 Using RWD in the Form of EHR Data to Predict Adverse Events and Outcomes Corey Young,
Susan Olson		 source 4
PHUSE US 2020 Volcano Plot: Demystifying Why and How Chandana Sudini,
Jyothi Nelakurthi		 source
presentation source		 9
PHUSE EU 2019 10 Useful Skills You May Have Learned through Being a Programmer - Other than Programming Paul Grimsey source
presentation source		 11
PHUSE EU 2019 A Data-driven and cost-effective approach towards Risk Based Monitoring Vineet Jain source
presentation source		 7
PHUSE EU 2019 An Automation Proof of Concept of Periodic Reporting via R Shiny Nicholas Masel source
presentation source		 7
PHUSE EU 2019 Analysis of crossover studies in patient narratives Rebecca Lyzinski source
presentation source		 6
PHUSE EU 2019 Choosing the Right Path to Follow When Integrating ADaM Magalie Gallet,
Laura Phelan		 source
presentation source		 12
PHUSE EU 2019 Customised AE Narratives Using JMP Clinical Alastair Scarlett,
Carol Vaughn		 source
presentation source		 4
PHUSE EU 2019 Data Visualization: Where to start? Emma Moore,
Welwyn Garden		 source
presentation source		 4
PHUSE EU 2019 Detriment Index-based Safety Ranking of Opioid Drugs Samadhan Ghubade source
presentation source		 8
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 Holon - What, Why and How Catharina Dahlbo,
Eva Kelty		 source
poster source		 7
PHUSE EU 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source
presentation source		 11
PHUSE EU 2019 Let's See Further than One Observation: Applying Hash Objects for Typical Clinical Programming Tasks Valeriia Oreshko source
presentation source		 8
PHUSE EU 2019 Medical Device SDTM: A Real Case Roberto Teli source
poster source		 5
PHUSE EU 2019 Multiple imputation as a valid way of dealing with missing data Vadym Kalinichenko source
presentation source		 11
PHUSE EU 2019 Oracle Analytics Cloud Mike Collinson source
presentation source		 8
PHUSE EU 2019 Our Industry: Technology-driven or Driven by Technology? Faheeza Rangunwala source
presentation source		 9
PHUSE EU 2019 Semi Auto-generated Narratives Bjarke Klein source
presentation source		 7
PHUSE EU 2019 Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis Jeffrey M. Abolafia,
Priya Gopal,
Samuel Hume		 source
presentation source		 12
PHUSE EU 2019 Using R Shiny to Create an Interactive Visualisation Patient Profile Elva Chen,
Brian Munneke		 source
presentation source		 8
PHUSE EU 2019 Vaccines: Benefits for public health Statistical programming specificities in clinical trials Olfa Guaddoudi,
Emeline Burhin,
Julie Harriague,
Mohamed Oujaa		 source
poster source		 7
PHUSE EU 2019 Validate the validated: A python script for study leads to review clinical outputs Varaprasad Ilapogu source
presentation source		 6
SESUG 2019 Interactive Graphs Kriss Harris source 24
SESUG 2019 Make your Data shine with R-Shiny Pavan Vemuri(Sri Pavan Vemuri), Alkermes; Sri Pavan Vemuri source 13
MWSUG 2019 Findings About: De-mystifying the When and How Michael Wise,
Soumya Rajesh		 9
MWSUG 2019 Interactive Graphs Richann J. Watson,
Kriss Harris		 24
MWSUG 2019 Leveraging RAREEVENTS Procedure Options to Monitor and Evaluate Infrequent Events in Healthcare Lynn (Xiaohong) Liu,
Roderick Jones		 10
WUSS 2019 Bespoke outputs, just like everyone else's: using the SAS Macro Language to create template programs for standard presentations of your client's clinical trial data Sean-Paul A. Claypool source 9
WUSS 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
WUSS 2019 One Boy's Dream: Hitting a Homerun in the Bottom of the Ninth Inning Carey G. Smoak source 5
WUSS 2019 Validate the validated: A python script for study leads to review clinical outputs Varaprasad Ilapogu source 6
PharmaSUG 2019 A Cloud-based Framework for Exploring Medical Study Data Peter Schaefer source 10
PharmaSUG 2019 Artificial Intelligence and Real World Evidence - it takes two to tango Charan Kumar Kuyyamudira Janardhana source 9
PharmaSUG 2019 Best Practices for ISS/ISE Dataset Development Bharath Donthi,
Lingjiao Qi		 source 9
PharmaSUG 2019 Bidirectionality to LOINC: Handling the Nitty Gritty of Lab Data Bhargav Koduru source 8
PharmaSUG 2019 Camouflage your Clinical Trial with Machine Learning and AI Ajith Baby Sadasivan,
Limna Salim,
Akhil Vijayan,
Anoop Ambika		 source 10
PharmaSUG 2019 Common Pinnacle 21 Report Issues: Shall we Document or Fix? Ajay Gupta source 11
PharmaSUG 2019 Considerations and Updates in the Use of Timing Variables in Submitting SDTM-Compliant Datasets Jerry Salyers source 9
PharmaSUG 2019 Dataset Specifications: Recipes for Efficiency and Quality David A. Scocca source 7
PharmaSUG 2019 Exploring Common CDISC ADaM Conformance Findings Trevor Mankus source 6
PharmaSUG 2019 Findings About: De-mystifying the When and How Soumya Rajesh,
Michael Wise		 source 9
PharmaSUG 2019 Fine-tuning your swimmer plot: another example from oncology Steve Almond source 25
PharmaSUG 2019 Flagging On-Treatment Events in a Study with Multiple Treatment Periods David W. Franklin source 4
PharmaSUG 2019 Forewarned is forearmed or how to deal with ADSL issues Anastasiia Oparii source 16
PharmaSUG 2019 Free Duplicates Here! Get Your Free Duplicates Kristen Reece Harrington source 5
PharmaSUG 2019 Generating Color Coded Patient ID Spreadsheet (PID list) To Make It Easier for the Reviewers. Ranjith Kalleda,
Ashok Abburi		 source 5
PharmaSUG 2019 Heat Map and Map Chart using TIBCO Spotfire Ajay Gupta source 14
PharmaSUG 2019 Implementing Laboratory Toxicity Grading for CTCAE Version 5 Keith Shusterman,
Mario Widel		 source 11
PharmaSUG 2019 In the Style Of David Letterman's "Top Ten" Lists, Our "Top Ten" PROC SQL Statements To Use in Your SAS Program Margie Merlino source 7
PharmaSUG 2019 Incremental Changes: ADaMIG v1.2 Update Nancy Brucken,
Brian Harris,
Terek Peterson,
Alyssa Wittle,
Deborah Goodfellow		 source 8
PharmaSUG 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 24
PharmaSUG 2019 Interactive TLFs - A Smarter Way to Review your Statistical Outputs Bhavin Busa source 5
PharmaSUG 2019 Macro Templates - Industry Specific SAS Programming Standardization Tabassum Ambia source 8
PharmaSUG 2019 Merging Sensor Data with Patient Records in Clinical Trials - Systems and Benefits Surabhi Dutta,
Shubhranshu Dutta		 source 9
PharmaSUG 2019 More Traceability: Clarity in ADaM Metadata and Beyond Wayne Zhong,
Richann J. Watson,
Daphne E. Ewing,
Jasmine Zhang		 source 26
PharmaSUG 2019 Multiple Studies BIMO Submission Package - A Programmer's Perspective Ramanjulu Valluru,
Harsha Dyavappa		 source 17
PharmaSUG 2019 Pacemaker Guy: De-Mystifying a Business Use Case for SDTM Standard and Medical Device Domains Carey G. Smoak,
Donna Sattler,
Fred Wood		 source 10
PharmaSUG 2019 Patient Profile with Color-Coded Track Changes Since Last Review Himanshu Patel,
Jeff Xia		 source 6
PharmaSUG 2019 Practical Guidance for ADaM Dataset Specifications and Define.xml Jack Shostak source 14
PharmaSUG 2019 Practices in CDISC End-to-End Streamlined Data Processing Chengxin Li source 14
PharmaSUG 2019 Raising the Bar: CDASH implementation in a biometrics CRO Julie Barenholtz source 4
PharmaSUG 2019 Schoveing Series 4: Inspirational Leadership: Grow Yourself into a Class Act and an Unforgettable Leader! Priscilla Gathoni source 7
PharmaSUG 2019 Sum Fun with Flags! Sum Any Flagged Occurrence Data with FLAGSUM and Report It with FLAGRPT or PROC REPORT. Brendan Bartley source 31
PharmaSUG 2019 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PharmaSUG 2019 Time Since Last Dose: Anatomy of a SQL Query Derek P. Morgan source 12
PharmaSUG 2019 Time to COMPARE Programmer to Analyst: Examine the Differences and Decide Best Path Forward Ginger Barlow,
Carol Matthews		 source 8
PharmaSUG 2019 Tool Development Methods for Implementing and Converting to New Controlled Terminology in SDTM datasets Martha O'Brien,
Keith Shusterman		 source 10
PharmaSUG 2019 Updates on validation of ADaM data Sergiy Sirichenko source 9
PharmaSUG 2019 Use of SAS Merge in Adverse Events Reporting for DSUR Andrew Wang source 8
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
PharmaSUG 2019 Value-Level Metadata Done Properly Sandra Minjoe,
Mario Widel		 source 21
SGF 2019 Automatic LITI Rule Generation for Information Extraction Teresa Jade,
Xu Yang,
Christina Hsiao,
Aaron Arthur		 source 14
SGF 2019 Framework for German Dossier Submissions Kriss Harris source 9
SGF 2019 Interactive Graphs Kriss Harris,
Richann J. Watson		 source 23
SGF 2019 Real-World Evidence and Population Health Analytics: Intersection and Application David Olaleye source 16
PHUSE US 2019 Adverse Events of Special Interest (AESI) Tabulation Chuanfeng Shih source
presentation source		 5
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
PHUSE US 2019 Best Practices for the Preparation of the ISS/ISE Datasets [poster] Aatiya Zaidi,
Bhavin Busa		 source 1
PHUSE US 2019 CDISC Doesn't Tell You What to Collect But Regulators Do! Diane Wold source
presentation source		 4
PHUSE US 2019 CDISC in Phase I/II Studies: Case Studies in Adopting Standards Emily Woolley,
Amber Randall Scharp		 source
presentation source		 7
PHUSE US 2019 Clinical Trials on Blockchain Rohit Banga,
Mohit Juneja		 source
presentation source		 8
PHUSE US 2019 Creating the Virologic Response ADaM Dataset Manjusha Alapati source
presentation source		 7
PHUSE US 2019 Digital Analysis Results - #killTFLs Chris Decker source
presentation source		 6
PHUSE US 2019 Don't Let Your Data Handle You: A Novel Approach to Clinical Programming Jorine Putter source
presentation source		 10
PHUSE US 2019 Dynamically Harvesting Study Dates to Construct and QC the Subject Visits (sv) SDTM Domain Laura Bellamy,
Cleopatra Deleon		 source
presentation source		 6
PHUSE US 2019 Effective Presentations of CTCAE-graded Laboratory Data William Coar,
Amber Randall		 source
presentation source		 7
PHUSE US 2019 Free Duplicates Here! Get Your Free Duplicates Kristen Reece Harrington source
presentation source		 4
PHUSE US 2019 Graphical Examination of PK Parameters Versus Dose-in-Dose Escalation Trials using SAS GTL Chiu Tsang,
Hima Bhatia		 source
poster source		 9
PHUSE US 2019 How to Take the Risk Out of Risk-based Monitoring Shafi Chowdhury,
Nurahamid Siddiki		 source
presentation source		 4
PHUSE US 2019 Implementing Imputation Rules and Creating Analysis Flags Following CDISC Guidelines Venkata Madhira,
Harish Yeluguri		 source
presentation source		 8
PHUSE US 2019 Incremental Changes: ADaMIG v1.2 Update Brian Harris,
Deborah Goodfellow		 source
presentation source		 6
PHUSE US 2019 Make the Most of Your Data - Explore Different Perspectives Catharina Dahlbo,
Michael Rubison		 source
poster source		 5
PHUSE US 2019 Next Generation Data Management: Case Studies for Ontology-driven Graph Databases Jim Lapointe source
presentation source		 8
PHUSE US 2019 Streamlining the Results Reporting for ClinicalTrials.gov and EudraCT Naresh Tulluru,
Susruth Ganoothula		 source
presentation source		 7
PHUSE US 2019 The ARBM Ecosystem - Optimizing Process and Platform Madelaine Mackay source
presentation source		 8
PHUSE US 2019 The Power of Sharing Clinical Data: Real Projects with Real Impacts David Handelsman source
presentation source		 6
PHUSE US 2019 Use of FHIR in Clinical Research: From Electronic Medical Records to Analysis Priya Gopal source
presentation source		 12
PHUSE US 2019 Using Count-based Statistical Models for Key Performance Indicators, Risk Metrics, etc. [presentation] Aaron Mackey source 15
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 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
SCSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach source 15
PHUSE EU 2018 A Proprietary CDASH/SDTM-hybrid Data Model to Expedite Clinical Data Review Lieke Gijsbers,
Tom Van Der Spiegel		 source
presentation source		 6
PHUSE EU 2018 Adverse Event Data - gRaphically Lina Rajput,
Prajakta Chitale		 source
presentation source		 10
PHUSE EU 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source
presentation source		 14
PHUSE EU 2018 Can You Cut It? Implementing the Data Cut-off Lewis Meares source
presentation source		 9
PHUSE EU 2018 Clinical Trials on Blockchain Rohit Banga,
Mohit Juneja		 source
presentation source		 8
PHUSE EU 2018 Data Visualisation in a Risk-Based Approach to Support Decision-making Joke De Wever,
Irina Sargsyan		 source
presentation source		 12
PHUSE EU 2018 Define-XML-centric Dataset Development Leonid Tseytlin,
Yevhen Pavlenko		 source
presentation source		 3
PHUSE EU 2018 Effective Data Modeling for Effective Data Visualisation Eva Kelty,
Peter Tormay		 source
presentation source		 5
PHUSE EU 2018 Enhancing the Application of Real-world Evidence with Episode of Care Analytics David Olaleye,
Lina Clover		 source
presentation source		 13
PHUSE EU 2018 Handling CRF Design Changes in a Live Environment Andre Snelting,
Nieke De Ruiter		 source
presentation source		 10
PHUSE EU 2018 How Machine Learning Can Automate Data Standardization in Clinical Trials [presentation] Fanyi Zhang source 16
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 Implementation of Data Cut Off in Analysis of Clinical Trials Ann Croft source
presentation source		 13
PHUSE EU 2018 Implementing Advanced Analytics and Machine Learning in Risk-based Strategies Rajneesh Patil source
presentation source		 3
PHUSE EU 2018 Increase Defensiveness of Your Code: Regular Expressions Valeriia Oreshko,
Daryna Khololovych		 source
presentation source		 8
PHUSE EU 2018 Incremental Changes: ADaMIG v1.2 Update Terek J. Peterson,
Brian Harris		 source
presentation source		 6
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 Safety Signal Detection Visualisations Using Spotfire Including R Michaela Mertes source
presentation source		 9
PHUSE EU 2018 Sample Size: A Couple More Hints to Handle it Right Using SAS and R Andrii Artemchuk source
presentation source		 11
PHUSE EU 2018 Serious Adverse Events Identification: A Machine Learning Approach [presentation] Jingshu Liu,
Laura Katz		 source 37
PHUSE EU 2018 Text as Data in the Context of Anonymising Clinical Study Reports Lukas Kniola,
Tim Perin		 source
presentation source		 12
PHUSE EU 2018 The Salford Lung Study: Challenges and Complexities with the Reporting of Electronic Medical Record Data in a Pioneering and Novel Approach to Clinical Trials Daniel Kwok,
Jennifer Colthart		 source
presentation source		 11
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 Your Date or Mine? Melanie O'Neill source
presentation source		 7
SESUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
SESUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach,
Keith J. Brown		 source 15
SESUG 2018 Recursive Programming Applications in Base SAS Jinson J. Erinjeri,
Pratap Singh Kunwar		 source 7
SESUG 2018 SDTM - Just a Walk in the (Theme) Park, Exploring SDTM in the Most Magical Place on Earth Magical Place source 10
SESUG 2018 You're Doing It Wrong! Volume 001 Shane Rosanbalm source 4
MWSUG 2018 An Update on the CS Standard Analyses and Code Sharing Working Group Nancy Brucken,
Jared Slain		 4
MWSUG 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 18
MWSUG 2018 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson 37
MWSUG 2018 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson 15
WUSS 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 18
WUSS 2018 CDISC in Phase I/II Studies: Approaches to adopting standards for CSR deliverables Emily Woolley,
Amber Randall		 source 9
PHUSE US 2018 A Successful Meta-Data Repository (MDR): It's About Managing Relationships Philip Giangiulio,
Melanie A. Paules		 source
presentation source		 7
PHUSE US 2018 Adverse Event Analysis - One step forward! Anuja Rasal source
presentation source		 11
PHUSE US 2018 Benefits of a Rapidly Growing Library of Clinically Relevant Visualization Templates/Patterns Eric Herbel source
presentation source		 4
PHUSE US 2018 BIMO Listings - Check That Off Your NDA To-Do List Charanjit Kahlon,
Bhavin Busa		 source 7
PHUSE US 2018 Challenges and Tactics of Managing Clinical Programming in Long Term Outcomes Trials David L. Wade,
Joanne C. Zhou,
Rakesh Kumar		 source
presentation source		 6
PHUSE US 2018 Clinical Timelines Visualized Spencer Childress,
Jeremy Wildfire		 source
presentation source		 6
PHUSE US 2018 Common Define.xml File Issues Seen During FDA's JumpStart Service Peter Glass,
Caitlin Anderson,
Margo Cohen,
Kathryn Matto,
Austin Taylor,
Sergiy Sirichenko,
Max Kanevsky,
Michael Beers,
Mary Doi,
Alan Shapiro,
Barbara Witczak,
Jesse Anderson		 source
poster source		 5
PHUSE US 2018 CRF Design for Data Standards David A. Scocca source
presentation source		 4
PHUSE US 2018 Data Visualization for Data Monitoring Committees for Clinical Trials [presentation] Adam Hamm source 14
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 Going Pro with PROs: Implementation and Analysis of Patient Reported Outcomes Shilpakala Vasudevan source
presentation source		 12
PHUSE US 2018 How to Prepare High Quality Metadata for Submission [presentation] Varun Debbeti source 31
PHUSE US 2018 Mapping Mirena Users in the US Jose F. Diaz,
Maria Mac		 source
presentation source		 2
PHUSE US 2018 Modeling and Text Analysis to Empower FAERS Adverse Event Mitigation Qais Hatim,
Emily McRae		 source
presentation source		 24
PHUSE US 2018 Patterns Emerging from Chaos Alan Cantrell source
presentation source		 5
PHUSE US 2018 Post-Marketing Surveillance and the FAERS Big Data Paradox Aditya Gadiko source
poster source		 3
PHUSE US 2018 Programmers are from Mars and Statisticians are from Venus Shweta Padmanaban,
Sangeetha Sathaiah		 source
presentation source		 6
PHUSE US 2018 Row Row Row of Zeroes: Their Significance in Summary Tables and Subgroup Analyses Sridhar Vijendra,
Sumanth Horabail		 source
presentation source		 6
PHUSE US 2018 Shaken But Not Stirred: An Example of Subject Classification using Multidimensional Scaling Manuel Sandoval Garcia source
presentation source		 7
PHUSE US 2018 Subgroup Explorer and AdEPro - The Full Picture on Clinical Trial Data [presentation] Madhurima Majumder,
Erya Huang		 source 20
PHUSE US 2018 Supporting a Data Review and Visualization Application with SDTM Deepika Sunkara,
Jagadish Dhanraj		 source
presentation source		 6
PHUSE US 2018 The First and Last Words of ADaM Susan J. Kenny source 4
PHUSE US 2018 Transforming Clinical Trials with Linked Data Tim P. Williams,
Armando Oliva		 source
presentation source		 9
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 Use of Real-Time Application for Portable Interactive Device (RAPID) for Data safety and Patient Out Skip Francis source 6
PHUSE US 2018 Using the TFL Workbench for Standards Governance Hansjörg Frenzel,
Iain Humphreys		 source 9
PharmaSUG 2018 A time saving approach to track data issues Aishhwaryapriya Elamathivadivambigai source 8
PharmaSUG 2018 ADaM for Medical Devices: Extending the Current ADaM Structures Julia Yang,
Sandra Minjoe		 source 7
PharmaSUG 2018 ADaM Integration for Summary of Clinical Safety: The 'Unique Patient' Paradox Aakar Shah,
Tracy Sherman		 source 12
PharmaSUG 2018 Advanced Visualization using TIBCO Spotfire and SAS Ajay Gupta source 14
PharmaSUG 2018 Analyzing Adverse Events of Special Interest using Lab Tests and Toxicity Grades Vamsi Krishna Medarametla,
Liz Thomas,
Gokul Vasist		 source 6
PharmaSUG 2018 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson,
Karl Miller		 source 18
PharmaSUG 2018 Building Simulated CRF Data for Study Mock-Ups Ashley Kesler,
Hisham Madi,
Jonathan W. Duggins,
James E. Blum		 source 10
PharmaSUG 2018 Core and Extension studies - Challenges and solutions towards SDTM submission Murali Marneni source 6
PharmaSUG 2018 Data Management and CDISC Formatting for Transdermal Patches Lois Lynn source 11
PharmaSUG 2018 Graph Display of Patient Profile in SAS Yanwei Han source 7
PharmaSUG 2018 Implementation of Data Cut Off in Analysis of Clinical Trials Mei Dey source 15
PharmaSUG 2018 Improved Transparency in Key Operational Decisions in Real World Evidence Rebecca Levin,
Irene Cosmatos		 source 11
PharmaSUG 2018 Leveraging Standards for Effective Visualization of Early Efficacy in Clinical Trial Oncology Studies Kelci J. Miclaus,
Lili Li		 source 12
PharmaSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels Keith J. Brown,
John R. Gerlach		 source 15
PharmaSUG 2018 PK Data Explained Timothy J. Harrington source 9
PharmaSUG 2018 Preparing the Office of Scientific Investigations (OSI) Requests for Submissions to FDA Zihui Lin,
Wei Cui,
Yaling Teng,
Ran Li		 source 9
PharmaSUG 2018 Programmer's Guide for OSI Deliverables - Creation of Site Level Summary Dataset and Automation of BIMO Listins Generation Charanjit Kahlon,
Kristie Kooken,
Bhavin Busa,
Dharmendra Tirumalasetti		 source 10
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 SDTMs in a Medical Device Trial - A First Attempt Phil Hall source 6
PharmaSUG 2018 Sense and Censorability: Learn censoring techniques with ADTTE for your survival Shilpakala Vasudevan source 12
PharmaSUG 2018 Tips and Fixes for Cross-Environment Batch Transfer of SAS Data Yun (Julie) Zhuo source 10
PharmaSUG 2018 Tips and Tricks to Enhance RTF Output Rohini Rao source 8
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 Traceability: Some Thoughts and Examples for ADaM Needs Richann J. Watson,
Kent Letourneau,
Wayne (Weizhen) Zhong,
Sandra Minjoe		 source 18
PharmaSUG 2018 Useful Adverse Events (AE) data Diagnostics and Summarization Abhinav Srivastva source 6
PharmaSUG 2018 User-defined Functions for Processing Lab Data Richard R. Allen source 13
PharmaSUG 2018 Using JMP Scripting Language (JSL) to create an application interface for automated analysis of Lab Data in Clinical Trial Dongsun Cao source 11
PharmaSUG 2018 Utilize Dummy Variables/Datasets in Graph Generation Amos Shu source 4
SGF 2018 Animate Your Data! Richann J. Watson,
Kriss Harris		 source 15
SGF 2018 Automation of Clinical Trial Result Posting to ClinicalTrials.gov and EudraCT Sherry Meeh source 9
SGF 2018 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
SESUG 2017 A Macro for Generating the Adverse Events Summary for ClinicalTrials.gov Andrew Moseby,
Maya Barton		 source 7
SESUG 2017 Clinical Data Visualization using TIBCO Spotfire and SAS Ajay Gupta source 12
SESUG 2017 Statistician's secret weapon: 20 ways of detecting raw data issues Lixiang Larry Liu source 8
SESUG 2017 Streamlining ADaM Dataset Specifications Hunter Vega source 6
SCSUG 2017 Risk Based Monitoring (RBM) with SAS Visual Analytics Prasoon Sangwan,
Piyush K. Singh,
Faraz Khan		 source 10
PHUSE EU 2017 A Labour-saving SAS Macro fro Programmed Patient Narratives Vineeth Kurnala,
Prafulla Girase		 source
presentation source		 9
PHUSE EU 2017 Adverse Events Data Over Time Kriss Harris source
presentation source		 11
PHUSE EU 2017 Ahead of the Curve: Leading with Industry Data Requirements Nancy Haeusser source
presentation source		 8
PHUSE EU 2017 An FDA Submission Experience Using the CDISC Standards Angelo Tinazzi,
Cédric Marchand		 source
presentation source		 15
PHUSE EU 2017 Are you Still Afraid of Using Arrays? Let's Explore their Advantages Vladyslav Khudov source
presentation source		 6
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 Detecting Treatment Emergent Adverse Events (TEAEs) Matthias Lehrkamp source
presentation source		 12
PHUSE EU 2017 EMA Policy 0070: Data Utility in Anonymized Clinical Study Reports (CSRs) Jean-Marc Ferran,
Sarah Nevitt		 source 23
PHUSE EU 2017 Extension Studies - CDISC Submission Challengesand Scenarios Arvind Sri Krishna Mani,
Deepak Anathan		 source
presentation source		 3
PHUSE EU 2017 From Programmer to Patient. Why it is Good to be a Clinical Programmer When You Are Seriously Ill Colin Brown source
presentation source		 4
PHUSE EU 2017 Growing Up with SAS: It Gets Real Yevhen Los,
Dmytro Hasan		 source
presentation source		 6
PHUSE EU 2017 Implementing JumpStart at Novo Nordisk A/S Kina Ulkaer Jørgensen source
presentation source		 4
PHUSE EU 2017 Industry Standards - What Else Exists Beside CDISC Joerg Dillert source
presentation source		 8
PHUSE EU 2017 Mapping of Gastrointestinal Tolerance Data to SDTM Lieke Gijsbers source
presentation source		 5
PHUSE EU 2017 Metadata-driven Tool for Creation of a Dataset for Exploratory Analyses Alexey Kuznetsov source
presentation source		 7
PHUSE EU 2017 Qlik Sense for Pharmacovigilance [presentation] Daniel Andersen source 9
PHUSE EU 2017 Robust Study Database Build: An Effective Start Towards Creation of Quality SDTMs Onkar Tajarekar source
presentation source		 9
PHUSE EU 2017 The Impact of Regulations on Immuno-OncologySubmissions Geoffrey A. Mann source
presentation source		 8
PHUSE EU 2017 Visualizing and Cleaning Unsolicited Safety Data (ICSRs) Using R in Aiding Causality Assessment Sheik Akhil,
Krishna Asvalaya		 source
presentation source		 6
MWSUG 2017 Patient Safety with SAS Visual Analytics Piyush K. Singh,
Prasoon Sangwan,
Ghiyasuddin Mohammed Faraz Khan		 12
MWSUG 2017 What Are Occurrence Flags Good For Anyway? Nancy Brucken 4
WUSS 2017 A Critique of Implementing the Submission Data Tabulation Model (SDTM) for Drugs and Medical Devices Carey G. Smoak source 16
WUSS 2017 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson,
Karl Miller		 source 15
WUSS 2017 Pattern of Adverse Events: The Use of Box Plot Jui-Fu Huang source 5
WUSS 2017 SDTMs in a Medical Device Trial - A First Attempt Phil Hall source 5
PharmaSUG CN 2017 Assigning VISITNUM and EPOCH [presentation] Na Duan,
Ru He		 32
PharmaSUG CN 2017 Constructive Practice of Generating ADaM Datasets Amos Shu 7
PharmaSUG CN 2017 How to define Treatment Emergent Adverse Event (TEAE) in crossover clinical trials Mengya Yin,
Wen Tan		 6
PharmaSUG 2017 A Case of assessing adverse events of interest based on their grade changes Sriramu Kundoor source 7
PharmaSUG 2017 A Combined AE + CM Graph using SAS Sanjay N. Matange source 7
PharmaSUG 2017 A Critique of Implementing the Submission Data Tabulation Model (SDTM) for Drugs and Medical Devices Carey G. Smoak source 16
PharmaSUG 2017 A custom ADaM domain for time to event analysis in adverse events John Saida Shaik source 4
PharmaSUG 2017 A Guide To Programming Patient Narratives Renuka Tammisetti,
Karthika Bhavadas		 source 6
PharmaSUG 2017 ADaM Compliance - Validating your Specifications Trevor Mankus,
Kent Letourneau		 source 9
PharmaSUG 2017 Adverse Event Data over Time Kriss Harris source 11
PharmaSUG 2017 Ahead of the Curve: Leading with Industry Data Requirements Maria Dalton,
Nancy Haeusser		 source 17
PharmaSUG 2017 Beyond - Just fix it!- Application of Root Cause Analysis Methodology in SAS Programming. Nagadip Rao source 8
PharmaSUG 2017 Clinical Data Visualization using TIBCO Spotfire and SAS Ajay Gupta source 12
PharmaSUG 2017 Clinical Trials Data: It-s a Scary World Out There! or Code that Helps You Sleep at Night Scott Horton source 10
PharmaSUG 2017 ClinicalTrials.gov Results: an End of Study Deliverable That Should Be Considered at Study Startup Maya Barton,
Elizabeth Paynter		 source 9
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 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 Defensive Programming - Tips and Techniques for Producing that Dataset, Table, Listing or Figure First Time David W. Franklin source 7
PharmaSUG 2017 Good Data Validation Practice Sergiy Sirichenko,
Max Kanevsky		 source 10
PharmaSUG 2017 How to define Treatment Emergent Adverse Event (TEAE) in crossover clinical trials Mengya Yin,
Wen Tan		 source 6
PharmaSUG 2017 Innovation and Regulatory Review What is JumpStart? Alan Shapiro source 24
PharmaSUG 2017 Let-s Check Data Integrity Using Statistical (SAS) Programmers with SAS Harivardhan Jampala source 17
PharmaSUG 2017 Multipage Adverse Event Reports Using PROC SGPLOT Warren F. Kuhfeld,
Mary Beth Herring		 source 17
PharmaSUG 2017 New for SAS 9.4: Including Text and Graphics in Your Microsoft Excel Workbooks, Part 2 Vincent DelGobbo source 26
PharmaSUG 2017 Real Time Clinical Trial Oversight with SAS Ashok Gunuganti source 7
PharmaSUG 2017 SAS vs Tableau: Creating Adverse Event/ Concomitant Medication Time line plot Liling Wei,
Kathy Chen		 source 6
PharmaSUG 2017 SDTM - Just a Walk in the (Theme) Park, Exploring SDTM in the Most Magical Place on Earth Christine McNichol source 9
PharmaSUG 2017 Single File Deliverables: Next Steps Bill Coar source 19
PharmaSUG 2017 Sponsor Oversight of CROs Data Management and Biostatistical Abilities Lois Lynn source 7
PharmaSUG 2017 Standardized, Customized or Both? Defining and Implementing (MedDRA) Queries in ADaM Data Sets Richann J. Watson,
Karl Miller		 source 7
PharmaSUG 2017 Statistician's secret weapon: 20 ways of detecting raw data issues Lixiang Larry Liu source 8
PharmaSUG 2017 The Benefits of Traceability Beyond Just From SDTM to ADaM in CDISC Standards Maggie Ci Jiang source 8
PharmaSUG 2017 Topology-based Clinical Data Mining for Discovery of Hidden Patterns in Multidimensional Data Sergey Glushakov,
Iryna Kotenko,
Andrey Rekalo		 source 20
PharmaSUG 2017 Translating Statistics into Knowledge by Examples Using SAS Graphic Procedures Tao Shu,
Jianfei Jiang		 source 11
PharmaSUG 2017 Using Hash tables for AE search strategies Vinodita Bongarala,
Liz Thomas		 source 6
PharmaSUG 2017 What Are Occurrence Flags Good For Anyway? Nancy Brucken source 4
PharmaSUG 2017 Work with me here-(or there or anywhere): Practical Cloud Collaboration with JMP Clinical for Clinical Trial Data Reviews Kelci J. Miclaus,
Drew Foglia		 source 14
SGF 2017 A Critique of Implementing the Study Data Tabulation Model (SDTM) for Drugs and Medical Devices Carey G. Smoak source 16
SGF 2017 Health-Care Data Sharing and Innovative Analytic Development in Distributed Data Networks Jennifer R. Popovic source 9
SGF 2017 New for SAS 9.4: Including Text and Graphics in Your Microsoft Excel Workbooks, Part 2 Vincent DelGobbo source
zip		 26
SGF 2017 SAS Visual Analytics to Inform FDA of Potential Safety Issues for CFSAN-Regulated Products Manuel Kavekos source 5
SESUG 2016 Enhanced Swimmer Plots: Tell More Sophisticated Graphic Stories in Oncology Studies Enhanced Swimmer source 13
SESUG 2016 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2016 Automating Frequency Tables with ClinXport SAS Macro Package Loizos Nicolaou source
presentation source		 6
PHUSE EU 2016 Clinical Data in Business Intelligence Mike Collinson source
presentation source		 7
PHUSE EU 2016 Clinical Graphs Using SAS Sanjay N. Matange source
presentation source		 12
PHUSE EU 2016 Constructing a Clinical Data Warehouse for Nutrition Studies [presentation] Paul Vervuren source 27
PHUSE EU 2016 Device Domains: Examples of their Use in Clinical Trials Oksana Voevutska source
presentation source		 12
PHUSE EU 2016 Dictionary Tables - A Programmer's Friend? Marcin Pracz source
presentation source		 5
PHUSE EU 2016 Grading Lab Toxicities using NCI Common Terminology Criteria for Adverse Events (CTCAE) Srinivas Veeragoni,
Ankur Mathur		 source
presentation source		 10
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 Increasing Work Group Transparency: ADaMIG v1.2 Update and New Team Working Process Review Terek J. Peterson,
Brian Harris		 source
presentation source		 8
PHUSE EU 2016 Integrating the New EMA Requirements on Public Disclosure in the Study Conduct [presentation] Jean-Marc Ferran source 20
PHUSE EU 2016 Interactive Data Visualisation and Exploration Using the Loon R Package Adrian Waddell source
presentation source		 8
PHUSE EU 2016 OCCS - Creating Flags or Records Rob Wartenhorst source
presentation source		 4
PHUSE EU 2016 On the Fast Lane to a Successful Submission - A Lead Programmer's Guide to Efficient, High-quality Submission Programming Deliverables Michael Reich,
Hannes Engberg Raeder		 source
presentation source		 9
PHUSE EU 2016 Pattern-based MDR: Towards High-quality Data Standards Alan Cantrell,
Julius Kusserow		 source
presentation source		 7
PHUSE EU 2016 Programmed Patient Narratives Using SAS Prafulla Girase,
Daniel J. Boisvert		 source
presentation source		 7
PHUSE EU 2016 QC of the aCRF Using SAS Rune Pedersen,
Niels Both		 source
presentation source		 12
PHUSE EU 2016 Reflect on Your Data Peter Tormay,
Henrik Drews		 source
presentation source		 9
PHUSE EU 2016 Standard Methods for Analysis and Reporting of VAS or NRS Derived Pain Relief Response Scores James R. Johnson source
presentation source		 14
PHUSE EU 2016 Standard Safety Visualisation Set-up Using Spotfire Michaela Mertes source
presentation source		 10
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 Upstream with Your Statistician and a Data Visualisation Paddle Nick Cowans source
presentation source		 6
PHUSE EU 2016 Using Graphics to Review and Present PK/PD Data for Maximum Impact Shafi Chowdhury,
Rajwanur Rahman		 source 9
MWSUG 2016 Pre-Data Checks for SDTM Development Abhinav Srivastva 10
MWSUG 2016 Read html files and create standard tables for BISR at KUMC Chuanwu Zhang,
John Keighley,
Byron J. Gajewski		 7
WUSS 2016 Combining Reports into a Single File Deliverable Bill Coar source 15
WUSS 2016 Good Programming Practice [GPP] in SAS & Clinical Trials Phaneendhar Reddy Vanam,
Srinivas Vanam,
Manvitha Yennam		 source 10
WUSS 2016 Indenting with Style Bill Coar source 7
WUSS 2016 SDTM Bookmarking Automation: Leveraging SAS, Ghostscript and Form-Visit Study Data Nasser Al Ali,
Maria Paz		 source 6
WUSS 2016 The Fantastic Four: Running Your Report Using the TABULATE, TRANSPOSE, REPORT, or SQL Procedure Joshua M. Horstman source 13
PharmaSUG 2016 AE: An Essential Part of Safety Summary Table Creation Rucha Landge source 12
PharmaSUG 2016 Associated Persons Domains - Who? What? Where? When? Why? How? Alyssa M. Wittle,
Michael Stackhouse		 source 6
PharmaSUG 2016 Clinical Graphs Using SAS Sanjay N. Matange source 19
PharmaSUG 2016 Codelists Here, Versions There, Controlled Terminology Everywhere Shelley Dunn source 12
PharmaSUG 2016 Combining TLFs into a Single File Deliverable William Coar source 15
PharmaSUG 2016 Duplicate records - it may be a good time to contact your data management team Sergiy Sirichenko,
Max Kanevsky		 source 8
PharmaSUG 2016 Efficient Safety Assessment in Clinical Trials using the Computer-generated AE Narratives of JMP Clinical Richard C. Zink,
Drew Foglia		 source 13
PharmaSUG 2016 Good versus Better SDTM: Data Listings Mario Widel,
Henry B. Winsor		 source 11
PharmaSUG 2016 Handling Interim and Incomplete Data in a Clinical Trials Setting Paul Stutzman source 13
PharmaSUG 2016 Implementation of ADaM Basic Data Structure for Cross-over Studies Songhui Zhu source 10
PharmaSUG 2016 Lab CTCAE - the Perl Way Marina Dolgin source 7
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
PharmaSUG 2016 SAS Macro for Summarizing Adverse Events Julius Kirui,
Rakesh Mucha		 source 11
PharmaSUG 2016 Selecting Analysis Dates - A Macro Approach Using Raw Data for Expediting Results Abdul Ghouse source 4
PharmaSUG 2016 Summarizing Adverse Events of Interest - Onset, Duration, and Resolution John Saida Shaik,
Avani Kaja		 source 6
PharmaSUG 2016 The New STREAM Procedure as a Virtual Medical Writer Joseph W. Hinson source 13
PharmaSUG 2016 Tips and Tricks for Bar Charts using SAS/Graph Template Language Randall Nordfors,
Boxun Zhang		 source 8
PharmaSUG 2016 Using PROC GENMOD with count data Meera G. Kumar source 4
PharmaSUG 2016 What HIGHLOW Can Do for You Kristen Much,
Kaitlyn Steinmiller		 source 12
SGF 2016 An Efficient Algorithm in SAS to Reconcile Two Different Serious Adverse Event (SAE) Data Sources Zhou Hui source 7
SGF 2016 Clinical Graphs Using SAS Sanjay N. Matange source
zip		 20
SGF 2016 The Fantastic Four: Running Your Report Using the TABULATE, TRANSPOSE, REPORT, or SQL Procedure Joshua M. Horstman source 13
MWSUG 2015 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo 21
PHUSE EU 2015 CodEX - When Excel Meets SAS to Code Clinical Data Stéphane Chollet,
Cathy Scoupe		 source
presentation source		 8
PHUSE EU 2015 Developing annotated CRF: SAS, Excel and patience as your friends Ilias Pyrnokokis source
presentation source		 8
PHUSE EU 2015 Ensuring Data Quality in Outsourced Studies - The Role of the Data Scientist Sarah Malbon,
Vikki Horton		 source
presentation source		 8
PHUSE EU 2015 EPOCH in Reverse Ann Croft source
presentation source		 7
PHUSE EU 2015 FDA Review Principles Applied to CRO Oversight Sascha Ahrweiler,
Grace Ignacio		 source
presentation source		 7
PHUSE EU 2015 Finding Out about Findings About Carolina Clark-Steel source
presentation source		 2
PHUSE EU 2015 How a Clinical Data Repository can Support Pharmacovigilance Panteleo Nacci source
presentation source		 7
PHUSE EU 2015 Introduction to CDISC BRIDG Joerg Dillert source
presentation source		 11
PHUSE EU 2015 PASS and the Programmer Rachel Bowman source
presentation source		 7
PHUSE EU 2015 Preparing and Utilising Claims and Electronic Medical Records Data for Clinical Research Laurie Rose source
presentation source		 5
PHUSE EU 2015 Statistical Analysis Reporting Tool (StART), From Concept to Table Production David M. Hartman source
presentation source		 11
PHUSE EU 2015 The Automated Metadata-driven Table Generation Process (TFLGen) at Amgen Neil Lyon source
presentation source		 12
SESUG 2015 All Data Are (Most Likely) Not Created Equal: A SAS Macro to Compare Structure and Data Across Multiple Datasets Jason L. Salemi source 13
SESUG 2015 How to Build Study Quality Surveillance for a Clinical Study? Angela Teng source 3
SESUG 2015 Reporting of treatment emergent adverse events based on pooled data Analysis or Country Specific Submissions: A case study Sheetal Shiralkar source 8
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 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo source 21
WUSS 2015 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 12
PharmaSUG CN 2015 Hands-On ADaM ADAE Development Sandra Minjoe 7
PharmaSUG CN 2015 Not Just Merge - Complex Derivation Made Easy by Hash Object Lu Zhang 5
PharmaSUG CN 2015 Reading and Resolving OpenCIDSC Message [presentation] Yu Pang 23
PharmaSUG CN 2015 SAS End-to-End solutions in Clinical Trial Emma Liu 17
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 Summary level clinical site data for data integrity review and inspection planning in NDA and BLA submission [presentation] Jingwei Gao,
Nancy Bauer		 41
PharmaSUG CN 2015 Use of SAS for Risk-Based Monitoring of Survival Endpoints and Adverse Event Data in Clinical Trials Zhizhuo Zhang,
Sichan Tang,
Ka Chun Chong,
Benny Chung-Ying Zee		 5
PharmaSUG 2015 A Practical Approach to Create Adverse Event Summary by Toxicity Grade Table Zhengxin (Cindy) Yang source 8
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 Considerations in ADaM Occurrence Data: Handling Crossover Records for Non-Typical Analysis Karl Miller,
Richann J. Watson		 source 6
PharmaSUG 2015 Considerations in Conforming Data from Multiple Implantable Medical Devices to CDISC Standards Using SAS Julia Yang source 9
PharmaSUG 2015 Considerations in Submitting Non-Standard Variables: Supplemental Qualifiers, Findings About, or a Custom Findings Domain Jerry Salyers,
Richard Lewis,
Fred Wood		 source 6
PharmaSUG 2015 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo source 21
PharmaSUG 2015 Creating output datasets using SQL (Structured Query Language) only Andrii Stakhniv source 10
PharmaSUG 2015 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 12
PharmaSUG 2015 Growing Needs in Drug Industry for NONMEM Programmers Using SAS Sharmeen Reza source 11
PharmaSUG 2015 It Depends On Your Analysis Need Sandra Minjoe source 10
PharmaSUG 2015 Japanese submission/approval processes from programming perspective Ryan Hara source 7
PharmaSUG 2015 Leveraging ADaM Principles to Make Analysis Database and Table Programming More Efficient Andrew L Hulme source 13
PharmaSUG 2015 Not Just Merge - Complex Derivation Made Easy by Hash Object Lu Zhang source 5
PharmaSUG 2015 Patient Profiles and SAS Visual Analytics Pritesh Desai,
S. Robert Collins		 source 9
PharmaSUG 2015 Proc STREAM: The Perfect Tool For Creating Patient Narratives Joseph W. Hinson source 12
PharmaSUG 2015 SAS Reports on Your Fingertips? - SAS BI is the Answer for Creating Immersive Mobile Reports Swapnil Udasi source 10
PharmaSUG 2015 Statistical Review and Validation of Patient Narratives Indrani Sarkar,
Bradford J. Danner		 source 5
PharmaSUG 2015 TEAE: Did I flag it right? Arun Raj Vidhyadharan,
Sunil Mohan Jairath		 source 5
PharmaSUG 2015 Team-work and Forensic Programming: Essential Foundations of Indestructible Projects Brian P. Fairfield-Carter source 14
PharmaSUG 2015 The Best Practices of CDISC ADaM Validation Checks: Past, Present, and Future Shelley Dunn,
Ed Lombardi		 source 9
PharmaSUG 2015 The concept of "Dynamic" SAS programming Sergey Sian source 4
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 Use of SAS Reports for External Vendor Data Reconciliation Soujanya Konda source 12
SGF 2015 All Payer Claims Databases (APCDs) in Data Transparency and Quality Improvement Paul A. LaBrec source 17
SGF 2015 Causal Analytics: Testing, Targeting, and Tweaking to Improve Outcomes Jason Pieratt source 8
SGF 2015 Creating Multi-Sheet Microsoft Excel Workbooks with SAS: The Basics and Beyond Part 2 Vincent DelGobbo source
zip		 21
SGF 2015 Deriving Adverse Event Records Based on Study Treatments Jonson Jiang source 6
SGF 2015 Visualizing Clinical Trial Data: Small Data, Big Insights Michael Drutar,
Elliot Inman		 source 18
SESUG 2014 A Comprehensive Automated Data Management System For Clinical Trials Heather F. Eng,
Jason A. Lyons,
Theresa M. Sax		 source 12
SESUG 2014 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2014 Biomarker as Essential Part of Clinical Development Renuka Chinthapally source
presentation source		 7
PHUSE EU 2014 CDISC Dataset-XML - A Dataset Structure for Clinical Trial Data Transport for Future Drug Submissions Joerg Dillert source
presentation source		 6
PHUSE EU 2014 Challenges of Different MedDRA Versions for Integrated Data and Databases Peter Bonata source
presentation source		 8
PHUSE EU 2014 Challenges with the Interpretation of CDIOSC - Who Can We Trust? Linda Palm Simonsson source
presentation source		 10
PHUSE EU 2014 Concept for a Clinical Trial Reporting System Daniil Shliakhov source
presentation source		 2
PHUSE EU 2014 Creating Standard Analyses and Displays for Common Safety Assessments in Clinical Study Reports Mary Nilsson,
Ann Croft		 source
presentation source		 3
PHUSE EU 2014 Data Transparency: Data De-identification and the Role of the Programmer [presentation] Jean-Marc Ferran source 20
PHUSE EU 2014 Drug Exposure Plot: Tailored Approach to Display Ongoing Data Mathias Lebreton source
presentation source		 12
PHUSE EU 2014 Dynamic Oceans and Static Poolings of Clinical Trial Data in NVx Panteleo Nacci source
presentation source		 9
PHUSE EU 2014 Exploring Safety and Diagnostic Data using Self-Organising Maps Colin de Klerk source
presentation source		 9
PHUSE EU 2014 Findings About: "Findings About" Madhura Khare source
presentation source		 8
PHUSE EU 2014 Frequency Tables - Aspects to Consider Katja Glass source
presentation source		 10
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 Interactive Data Visualisation of Adverse Event Clinical Trial Data with the D3.js. Script Library Johann Laurent,
Hugh McDevitt		 source
presentation source		 5
PHUSE EU 2014 Japanese Submission/Approval from Programming Perspective Ryan Hara source
presentation source		 5
PHUSE EU 2014 MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting Pamela J. Giese source
presentation source		 9
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 Standards Driven Innovation [presentation] Frederik Malfait source 36
PHUSE EU 2014 Successfully Embracing Challenges to CDISC Standards [presentation] Elke Sennewald source 30
MWSUG 2014 A Comprehensive Automated Data Management System For Clinical Trials Heather F. Eng,
Jason A. Lyons,
Theresa M. Sax		 12
MWSUG 2014 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter 11
MWSUG 2014 Jack of all Listings, A New Approach for Review of Clinical Data Hardik Panchal 15
MWSUG 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange 20
PharmaSUG CN 2014 Collapsing Adverse Event Records Haiqiang Luo 7
PharmaSUG CN 2014 Monitoring Child Growth and Safety Profile using Growth Charts Rajesh Babu Moorakonda,
Mihir Gandhi		 9
PharmaSUG CN 2014 Visualizing Clinical Trial Data Matthew J. Becker 10
WUSS 2014 TLF Validation Etiquette:What to Say, When to Say, How to Say, Why to Say Karen Walker source 10
PharmaSUG 2014 A Macro to Create Occurrence Flags for Analysis Datasets Ed Lombardi source 4
PharmaSUG 2014 Adopted Changes for SDTMIG v3.1.3 and 2013 OpenCDISC Upgrades Yi Liu,
Stephen Read		 source 17
PharmaSUG 2014 Automating Pharmaceutical Safety Surveillance process Pankaj Bhardwaj,
Chandramouli Raghuram		 source 8
PharmaSUG 2014 Challenges in Processing Clinical Lab Data Alan Meier source 15
PharmaSUG 2014 Clinical Data Dashboards for Centralized Monitoring Using SAS and Microsoft SharePoint Jagan Mohan Achi source 9
PharmaSUG 2014 Come Out of Your Shell: A Dynamic Approach to Shell Implementation in Table and Listing Programs Paul Burmenko,
Tony Cardozo		 source 13
PharmaSUG 2014 Common and Comparative Incidence Indicators of Adverse Events for Well-Defined Study Pools John R. Gerlach source 7
PharmaSUG 2014 Common Variables in Adverse Event and Exposure analysis datasets specific for Oncology clinical trials Haridasan Namboodiri source 11
PharmaSUG 2014 Defensive Programming, Avoiding the Big Mistakes David W. Franklin source 11
PharmaSUG 2014 Good versus Better SDTM - Why "Good Enough" May No Longer Be Good Enough When It Comes to SDTM Henry B. Winsor source 6
PharmaSUG 2014 Hands-On ADaM ADAE Development Sandra Minjoe,
Kimberly Minkalis		 source 7
PharmaSUG 2014 Healthcare Data Manipulation and Analytics Using SAS Lumin Shen,
Jane Lu		 source 11
PharmaSUG 2014 Let SAS Improve Your CDISC Data Quality Wayne (Weizhen) Zhong source 12
PharmaSUG 2014 Referencing Medical Device Data in Standard SDTM domains Timothy L Bullock,
Ramkumar Krishnamurthy		 source 7
PharmaSUG 2014 Risk-Based Approach to Identifying and Selecting Clinical Sites for Sponsor's Preparation for FDA/EMA Inspection Xiangchen (Bob) Cui source 21
PharmaSUG 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink,
Kelci J. Miclaus		 source 15
PharmaSUG 2014 Techniques of Preparing Datasets for Visualizing Clinical Adverse Events Amos Shu,
Qinghua (Kathy) Chen		 source 8
PharmaSUG 2014 That SASsy Lab Data Amie Bissonett 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 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
PharmaSUG 2014 XML in a SAS and Pharma World Mike Molter source 19
SGF 2014 DATA Step Merging Techniques: From Basic to Innovative Arthur L. Carpenter source 10
SGF 2014 Prescription for Visualization: Take One SAS Graph Template Language Graph before Seeing the Patient Radhikha Myneni,
Eric C. Brinsfield		 source 9
SGF 2014 Risk-Based Monitoring of Clinical Trials Using JMP Clinical Richard C. Zink source 14
SGF 2014 Up Your Game with Graph Template Language Layouts Sanjay N. Matange source 20
SGF 2014 What Benefits Can a Hospital Achieve by an Automated Structured Search in Medical Records for Mapping of Patient Injuries? Tonje Hansen source 4
WUSS 2013 Creating Custom Graphic Output Using the SG Annotate Data Set Doug E. Lassman source 13
WUSS 2013 Getting so Much when Reviewing Data with Touch Sy J. Truong source 14
WUSS 2013 Need to Find a Date? William Coar source 8
SESUG 2013 Imputing Dose Levels for Adverse Events John R. Gerlach,
Igor Kolodezh		 source 8
SESUG 2013 Patient Profile Graphs Using SAS Sanjay N. Matange source 14
PHUSE EU 2013 ADaM Datasets - Standard and Submission Ready Karin Fleischer Steffensen source
presentation source		 6
PHUSE EU 2013 Central Statistical Monitoring in Action Francois Torche,
Erik Doffagne		 source 6
PHUSE EU 2013 Computation of Cls for Binomial Proportions in SAS and its Practical Difficulties Jose Abraham source
presentation source		 8
PHUSE EU 2013 Going Against the Flow: Backmapping SDTM Data Panteleo Nacci source
presentation source		 7
PHUSE EU 2013 Interpreting CDISC ADaM IG Through Users Interpretation Angelo Tinazzi source
presentation source		 12
PHUSE EU 2013 Orphan Indication Therapies: Programming for a Patient Population without Options [presentation] Todd Case source 24
PHUSE EU 2013 Quick Checks for Quick Review Gauri Khatu source
presentation source		 11
PHUSE EU 2013 Report Inspector Vibhavari Inamdar source
presentation source		 11
PHUSE EU 2013 Reporting on Oracle Clinical by JReview Fleury Randrianarivo source
presentation source		 2
PHUSE EU 2013 SDTM Oncology Domains: From Patient to Data to Narrative Kennenth Stolzfus source
presentation source		 4
PHUSE EU 2013 Semantic Technology and CDISC Standards Frederik Malfait,
Scott A. Bahlavooni		 source
presentation source		 13
PHUSE EU 2013 Standardising the Standards - The Benefits of Consistency Nathan James source
presentation source		 6
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 Visual Approaches for Safety Analysis and Review of Clinical Trials [presentation] Valérie Nedbal source 34
NESUG 2013 How to Handle Binomial Proportion with Zero Frequency Tulin Shekar 11
NESUG 2013 Pooling strategy for clinical data Abraham Yeh,
ShinRu Wang,
Xiaohong Zhang		 11
NESUG 2013 The ADaM Solutions to Non-endpoints Analyses Chengxin Li 12
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
PharmaSUG 2013 A SAS Based MedDRA Coding System Charley Z. Wu,
Dona-Lyn Wales		 source 6
PharmaSUG 2013 Analysis of Concomitant Medication Data Joseph J. Hantsch,
Karl Miller		 source 4
PharmaSUG 2013 Considerations in the Use of Timing Variables in Submitting SDTM-Compliant Datasets Jerry Salyers,
Richard Lewis,
Fred Wood		 source 6
PharmaSUG 2013 Defensive Programming and Error-handling: The Path Less Travelled Tracy Sherman,
Angela S. Ringelberg		 source 9
PharmaSUG 2013 Designing and Tuning ADaM Datasets Songhui Zhu source 9
PharmaSUG 2013 Efficient Statistical Review Using the ExcelXP Tagset Bradford J. Danner source 5
PharmaSUG 2013 Everything You Need To Know About Standardised MedDRA Queries Rajkumar Sharma source 6
PharmaSUG 2013 Flags for Facilitating Statistical Analysis Using CDISC Analysis Data Model Chun Feng,
Xiaopeng Li,
Nancy Wang		 source 6
PharmaSUG 2013 Hands-On ADaM ADAE Development Sandra Minjoe source 7
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 Introduction to the CDISC Standards Sandra Minjoe source 10
PharmaSUG 2013 JMP versus JMP Clinical for Interactive Visualization of Clinical Trials Data Doug Robinson,
Jordan Hiller		 source 11
PharmaSUG 2013 Leveraging SDTM Standards to Cut Datasets at Any Visit Anthony L. Feliu,
Stephen W. Lyons		 source 12
PharmaSUG 2013 Life Cycle of a Data Point - A Tool to Educate the Clinical Development Team on What it Takes to Go From the Clinic to a Submission Arthur Collins,
Joanna Koft		 source 4
PharmaSUG 2013 Mapping Unique Aspects of Implantable Medical Device Study Data to CDISC SDTM Medical Device Domains Timothy L Bullock,
Sini Nair,
Ramkumar Krishnamurthy,
Todd M. Gross		 source 12
PharmaSUG 2013 MedDRA - Beyond that Basic AE Report. How SMQs and MedDRA Structure can Enhance Reporting Pamela J. Giese source 10
PharmaSUG 2013 Patient Profile Graphs Using SAS Sanjay N. Matange source 14
PharmaSUG 2013 Practice of SMQs for Adverse Events in Analysis of Safety Data and Pharmacovigilance Gary Chen,
David Shen		 source 11
PharmaSUG 2013 Processing MedDRA SMQs: Using Recursive Programming to Handle Hierarchical Data Structures Paul Stutzman source 7
PharmaSUG 2013 SAS GTL: Improving Patients Safety and Study Efficiency Masaki Mihaila source 11
PharmaSUG 2013 SAS Programmer to Clinical SAS Programmer Gayatri Karkera,
Nehan Mohan		 source 7
PharmaSUG 2013 The Hash of Hashes as a "Russian Doll" Structure: Application to Clinical Adverse Events Data Analysis Joseph W. Hinson source 12
PharmaSUG 2013 Traceability in the ADaM Standard Ed Lombardi source 8
PharmaSUG 2013 When Asked for Subject Incidences, Go Ahead and FREQ OUT Rod Norman source 8
SGF 2013 Assessing Drug Safety with Bayesian Hierarchical Modeling Using PROC MCMC and JMP Richard C. Zink source 13
SGF 2013 Assessing Model Adequacy in Proportional Hazards Regression Michael G. Wilson source 36
SGF 2013 Developing Your SDTM Programming Toolkit David A. Scocca source 10
SGF 2013 Free Expressions and Other GTL Tips Prashant Hebbar,
Sanjay N. Matange		 source 14
SGF 2013 Joint Modeling of Mixed Outcomes in Health Services Research Joseph C. Gardiner source 16
SGF 2013 Patient Profile Graphs Using SAS Sanjay N. Matange source 14
SGF 2013 Using SAS to Dynamically Generate SAS Code in Order to Display Both Variable Label and Name as Column Header in PROC REPORT and PROC PRINT Heli Ghandehari,
Victor Lopez		 source 5
SGF 2013 Using the ADaM ADAE Structure for Non-AE Data Mario Widel,
Sandra Minjoe		 source 13
NESUG 2012 A SAS Program to Construct Simultaneous Confidence Intervals of Relative Risk for Multiple Adverse Events Xiaoli Lu 6
NESUG 2012 Avoiding the "Ooh Nasty" David W. Franklin 9
NESUG 2012 Kick It Old School - Creating Reports with the DATA _NULL_ Step Sai Ma,
Suwen Li,
Minlan Li		 10
SCSUG 2012 POSTER: ADaM Implications of the CDER Data Standards Common Issues Document Sandra Minjoe source 6
PHUSE EU 2012 How Specifications Get Lost in Translation Ralf Minkenberg source
presentation source		 2
PHUSE EU 2012 Interpreting ADaM Standards with OpenCDISC Trupti Bal,
Madhura Paranjape		 source
presentation source		 8
PHUSE EU 2012 JMP Clinical 4.0 [presentation] Valérie Nedbal source 45
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 Master Data Management and Possible Applications for Clinical Trial Data Bill J. Gibson source
presentation source		 2
PHUSE EU 2012 Medical Data Review and Exploratory Data Analysis using Data Visualization Vinod Kerai source
poster source		 6
PHUSE EU 2012 Optimizing Data Validation Andrew Newbigging source
presentation source		 10
PHUSE EU 2012 Parsing ISO 8601 Standard Partial Dates using Perl Regular Expressions Mark Crangle source
presentation source		 8
PHUSE EU 2012 Pooling Clinical Data: Key Points and Pitfalls Florence Buchheitt source
presentation source		 8
PHUSE EU 2012 The 3 Year Obsession: Length of Experiences the Sole Determinant of Competence? Meghana Bhagwat,
Manjusha Gode		 source
presentation source		 9
SESUG 2012 A SAS Macro Approach to Assign CTCAE Grades to Laboratory Mei Dey,
Lisa Pyle		 source 10
SESUG 2012 Developing a Complete Picture of Patient Safety in Clinical Trials Richard C. Zink,
Russell D. Wolfinger		 source 5
SESUG 2012 Diverse Report Generation With PROC REPORT Diverse Report Generation source 6
SESUG 2012 Generating SUPPQUAL Domains From SDTM-Plus Domains John R. Gerlach,
Glenn O'Brien		 source 6
SESUG 2012 Programmatic Automation of Categorizing and Listing Specific Clinical Terms Ravi Kankipati,
Abhilash Chimbirithy		 source 6
SESUG 2012 The SDTM Programming Toolkit David A. Scocca source 10
MWSUG 2012 Error Reduction and Report Automation Approaches for Textually Dense Pharmaceutical Regulatory Conformance Incident Data Barry deVille,
Mark Wolff		 14
MWSUG 2012 Get SASsy with PROC SQL Amie Bissonett 12
MWSUG 2012 Programmed Assisted Patient Narratives (PANs) with New SAS ODS and Graphical Approaches Faye Yeh,
Melvin S. Munsaka		 12
WUSS 2012 Developing Integrated Summary of Safety Database using CDISC Standards Rajkumar Sharma source 7
WUSS 2012 Implementing the New ICH Development Safety Update Report (DSUR) Rajkumar Sharma source 10
WUSS 2012 The Lost Sibling of the Semi-colon William Coar source 4
PharmaSUG CN 2012 Clinical Review on iPad with DEFINE.XML Sy J. Truong 10
PharmaSUG CN 2012 Introduction of an Analysis Table Translation Tool Jessie Zhao,
Mina Chen,
Shengying Cheng,
Yanyun Shen		 ppt 4
PharmaSUG CN 2012 Methods to Generate Unavailable Categories in Interim Analysis Xiaoran Yin 6
PharmaSUG 2012 "Analysis-ready" - Considerations, Implementations, and Real World Applications Ellen (Zihui) Lin,
Beiying Ding		 source 6
PharmaSUG 2012 A Macro to Indent and Hyphenate Lengthy Text in PROC REPORT Stanley Yuen source 5
PharmaSUG 2012 A Mean Way to Count, Enumerating the Values of Multiple Variables Using Formats with the Means Procedure Rod Norman source 6
PharmaSUG 2012 ADaM Implications from the "CDER Data Standards Common Issues" and SDTM Amendment 1 Documents Sandra Minjoe source 6
PharmaSUG 2012 Adapt and Survive: Implementing the new ICH Development Safety Update Report (DSUR) Patricia L. Gerend,
Rajkumar Sharma		 source 10
PharmaSUG 2012 Avoiding a REL-WRECK; Using RELREC Well Karl Miller,
Joseph J. Hantsch,
Janet E. Stuelpner		 source 6
PharmaSUG 2012 Calculating time-to-event parameters using a single DATA step and a RETAIN statement Andrew L Hulme source 7
PharmaSUG 2012 Common Misunderstandings about ADaM Implementation Nate Freimark,
Susan J. Kenny,
Jack Shostak,
John K. Troxell		 source 10
PharmaSUG 2012 Considerations in the Submission of Exposure Data in an SDTM-Compliant Format Fred Wood,
Jerry Salyers,
Richard Lewis		 source 4
PharmaSUG 2012 Creating an Integrated Summary of Safety Database using CDISC ADaM : Challenges, Tips and Things to Watch Out Rajkumar Sharma source 7
PharmaSUG 2012 Creating Define.pdf with SAS Version 9.3 ODS RTF Elizabeth Li,
Carl Chesbrough		 source 36
PharmaSUG 2012 Creating the Time to Event ADaM Dataset: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 source 7
PharmaSUG 2012 Diverse Report Generation With PROC REPORT Chris Speck source 6
PharmaSUG 2012 Experience of Generating an XML file and Uploading Serious and Frequent Adverse Events to ClinicalTrials.gov Juan Wu,
Min Lai		 source 9
PharmaSUG 2012 Generating SUPPQUAL Domains From SDTM-Plus Domains John R. Gerlach,
Glenn O'Brien		 source 6
PharmaSUG 2012 Get SASsy with PROC SQL Amie Bissonett source 12
PharmaSUG 2012 Gilding the Lily: Boutique Programming in TAGSETS.RTF Rohini Rao,
Paul D. Hamilton		 source 9
PharmaSUG 2012 Giving Data a Voice: Partnering with Medical Writing for Best Reporting Practices Katherine Troyer,
Brit Minor		 source 8
PharmaSUG 2012 Identifying and Verifying Treatment-Emergent Adverse Events and Concomitant Medications by Date Specificity Tom Santopoli source 5
PharmaSUG 2012 Multiple Applications of ADaM Time-to-Event Datasets Huei-Ling Chen,
Helen Wang		 source 6
PharmaSUG 2012 One at a Time; Producing Patient Profiles and Narratives Joseph J. Hantsch,
Janet E. Stuelpner		 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 Supplementing Programmed Assisted Patient Narratives (PANs) with Graphs Using SAS Faye Yeh,
Melvin S. Munsaka		 source 12
PharmaSUG 2012 Using PROC COMPARE to identify new and updated records in a subject listing Mark McLaughlin source 5
SGF 2012 Error Reduction and Report Automation Approaches for Textually Dense Pharmaceutical Regulatory Conformance Incident Data Barry deVille,
Mark Wolff		 source 14
SGF 2012 ODS Report Writing Interface Makes Our Reporting Simple and Better Sijian Zhang source 10
SGF 2012 SUPPQUALWhere's My Mommy? Sandra VanPelt Nguyen source 8
SCSUG 2011 A Well Designed Process and QC Tool for Integrated Summary of Safety Reports Huei-Ling Chen source 6
SESUG 2011 Be Bold with Proc Compare and %RTFTable Patricia Guldin source 7
SESUG 2011 Our Adverse Event Review Reports Generated All in ODS Report Writing Interface Sijian Zhang source 10
SESUG 2011 Resolving OpenCDISC Error Messages Using SAS John R. Gerlach source 11
WUSS 2011 Analyze This? Supporting Clinical Decisions Graphically When Not Enough Data is Available A Study Case: Challenges in NCI CTCAE Version 4 Grading Sheila Dayog source 4
WUSS 2011 Clinical Data Review on iPad with DEFINE.XML Sy J. Truong source 10
WUSS 2011 Tips and Tricks for SG Procedures and GTL for Clinical Graphs Sanjay N. Matange source 16
PHUSE EU 2011 Chernof face graphs as an efficient way of creating comprehensive Patient Profiles in SAS Adam Amborski source
presentation source		 5
PHUSE EU 2011 Chernoff face graphs as an efficient way of creating comprehensive Patient Profiles in SAS Adam Amborski source
poster source		 5
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 Learning from critical values - adverse event identification and classification Milena Balcerzak source
poster source		 10
PHUSE EU 2011 Modular Programming - Some Lessons Learned and Benefits Gained Ross Farrugia source
presentation source		 6
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 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 Three Unique Case Studies - On the Trail of the Holy Grail of SDTM Implementation Kenneth Stoltzfus source
presentation source		 6
MWSUG 2011 Driving Clinical Safety Reviews with Data Standards Geoffrey A. Mann 7
MWSUG 2011 Fuzzy Merges - A Guide to Joining Data sets with Non-Exact Keys Using the SAS SQL Procedure Robert W. Graebner 5
MWSUG 2011 I Don't Look Good in Orange or Stripes Susan M. Fehrer 4
MWSUG 2011 Oncology Trials 101 - The Basics and Then Some David J. Polus 4
NESUG 2011 A Practical and Efficient Approach in Generating AE (Adverse Events) Reports Within a Clinical Study Environment Jiannan Hu 8
NESUG 2011 Generating Define.xml Sandeep Kottam,
Uma Sarath Annapareddy,
Sree Lakshmi Kalyani Tripuraneni		 20
NESUG 2011 Product Repository: Oblectives and Utilization - A Case Study Amit Bhanose,
Smitha Mullapudi		 5
NESUG 2011 Repeating Statistics Tables - Building A Macro that Dynamically Organizes and Formats Wayne (Weizhen) Zhong 6
PharmaSUG 2011 A Cost-Effective SDTM Conversion for NDA Electronic Submission Xiangchen (Bob) Cui,
Scott E. Moseley,
Min Chen		 source 12
PharmaSUG 2011 A Special SDTM Domain RELREC and its Application Changhong Shi,
Beilei Xu		 source 8
PharmaSUG 2011 Analytical Methods for Post-Marketing Safety Surveillance Annette Stemhagen,
Juliane K. Mills		 source 3
PharmaSUG 2011 Assumptions and Consequences of Comparative Effectiveness Analysis Using Data Mining Patricia B. Cerrito source 21
PharmaSUG 2011 Automated Generation of Clinical Study Reports Suhas R. Sanjee,
Rajavel Ganesan,
Jason Clark		 source 4
PharmaSUG 2011 Beyond the Comma Delimited File for Bringing Data into a SAS Dataset David W. Franklin source 5
PharmaSUG 2011 Challenges in Implementing ADaM datasets: Balancing the Analysis-Ready and Traceability Concepts Pushpa Saranadasa source 7
PharmaSUG 2011 Creating a Customized Graph for Adverse Event Incidence and Duration Sanjiv Ramalingam source 7
PharmaSUG 2011 Creating Hyperlinked PDF Graphical Patient Profiles with PROC REPORT William Conover source 11
PharmaSUG 2011 Creating SDTM Datasets from Legacy Data Fred Wood source 6
PharmaSUG 2011 Data Edit-checks Integration using ODS Tagset Niraj J. Pandya,
Vinodh Paida		 source 6
PharmaSUG 2011 Epidemiology in Drug Development Catherine Sigler,
Annette Stemhagen		 source 3
PharmaSUG 2011 Evaluating Safety Signals in Clinical Trials: the Dirichlet-NBD Model Implementation with SAS Yuqin Li,
Xiaohai Wan		 source 7
PharmaSUG 2011 Evolution of SDTMIG 3.1.1 to 3.1.2: A mapping specialist must reference on these changes Rachit Desai,
Anirudh Gautam,
Vikash Jain		 source 8
PharmaSUG 2011 From SAP to BDS: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 source 9
PharmaSUG 2011 Oncology Trials 101 - The Basics and Then Some David J. Polus source 4
PharmaSUG 2011 Resolving OpenCDISC Error Messages Using SAS Virginia Redner,
John R. Gerlach		 source 10
PharmaSUG 2011 Similarities and Differences in SAS Programming Among CRO and Pharmaceutical Industries Sandra Minjoe,
Mark Matthews		 source 6
PharmaSUG 2011 Statistical Analysis of Adverse Events in Randomized Clinical Trials Using SAS Dongsun Cao,
Xiaomin He		 source 12
PharmaSUG 2011 Tips and Tricks for Clinical Graphs using ODS Graphics Sanjay N. Matange source 16
PharmaSUG 2011 Using SAS for Modeling and Simulation in Drug Development - A Review and Assessment of Some Available Tools Melvin S. Munsaka,
Michael Carniello		 source 10
PharmaSUG 2011 Using the ADaM Basic Data Structure for Survival Analysis Nancy Brucken,
Sandra Minjoe,
Mario Widel		 source 5
PharmaSUG 2011 Validating Controlled Terminology in SDTM Domains John R. Gerlach source 12
SGF 2011 Driving Clinical Safety Reviews with Data Standards Geoffrey A. Mann source 7
SGF 2011 Tips and Tricks for Clinical Graphs using ODS Graphics Sanjay N. Matange source 16
SGF 2011 Using the PRELOADFMT Option with User-Defined Formats to Create Summary Tables Suwen Li,
Yi Hua,
Daniel Li,
Bob Lan		 source 11
NESUG 2010 An efficient way to create graphs in SAS 9.2: Utilizing SG procedures and GTL Yunzhi Ling 12
NESUG 2010 ClinicalTrials.gov: Creating an XML upload from SAS Daniel J. Boisvert,
Andy Illidge,
Troy A. Ruth		 11
NESUG 2010 Creating an Input Dataset to Produce Incidence and Exposure Adjusted Adverse Events Pushpa Saranadasa 8
NESUG 2010 Date Conversions in SDTM and ADaM Datasets Lily Zhang,
Lili Chen,
Huei-Ling Chen		 8
NESUG 2010 The Past, Present, and Future of Clinical Data Standards Chris Decker 10
WUSS 2010 A SAS Macro To Fit Parametric And Semi-Parametric SCCS Models Christina Clarke source 4
WUSS 2010 Clinical Graphs using ODS Graphics Sanjay N. Matange source 25
PHUSE EU 2010 CDISC integration in a clinical data management system Peter Van Reusel source
presentation source		 13
PHUSE EU 2010 Code evolution: how programs are developed and refined over time [presentation] Panteleo Nacci source 25
PHUSE EU 2010 Electronic transfer of sAE to Global Pharmacovigilance Eva Bervar source
presentation source		 5
PHUSE EU 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach,
John Bowen		 source
presentation source		 8
PHUSE EU 2010 GSTARS a complete strategy for the reporting [presentation] Alain Vasseur source 30
PHUSE EU 2010 How to process data from clinical trails and their open label extensions Thomas Grupe,
Stephanie Bartsch		 source
presentation source		 5
PHUSE EU 2010 Interactive Clinical Data Review for Safety Assesment and Trial Operations Management Michael O'Connell source
presentation source		 13
PHUSE EU 2010 Statistical Graphics for Review and Reporting in Clinical Development Kerstin Pietzko,
Michael O'Connell		 source
poster source		 12
PHUSE EU 2010 The Ultimate Integration Challenge Jennifer Choon-Moi Chin,
Hester Schoeman		 source
presentation source		 11
PHUSE EU 2010 Uncover Useful Patterns in Clinical Trials Safety Data with JMP Clinical Valérie Nedbal source 7
PHUSE EU 2010 Using Data and Text Mining to drive Innovation David Smith source
presentation source		 6
MWSUG 2010 Medical Guidelines: Consensus Panel Versus Healthcare Analytics Patricia B. Cerrito 17
SESUG 2010 Proc Report Data = Subject.Event_Chronology; Christina Carty,
Elizabeth R. Spence		 source 12
PharmaSUG 2010 %rtf2data : A utility macro to convert RTF Table to SAS dataset Neeral Beladia 11
PharmaSUG 2010 Analytics in the Converging Health and Life Sciences Industries: The Catalyst for the Next Generation of Healthcare Matt Gross 15
PharmaSUG 2010 Application of Modular Programming in Clinical Trial Environment Mirjana Stojanovic 8
PharmaSUG 2010 Assigning NCI CTC Grades To Laboratory Results Carol Matthews 8
PharmaSUG 2010 Building Effective Statistical Programming Teams for Clinical Trials Dawn Edgerton 3
PharmaSUG 2010 CDASH Standards for Medical Device Trials: CRF Analysis Parag Shiralkar,
Jennie Tedrow,
Kit Howard,
Laura Fazio,
Daniela Luzi,
Rhonda Facile		 8
PharmaSUG 2010 Checking for SDTM Compliance: The Need for Human Involvement Fred Wood,
Adrienne Boyance		 8
PharmaSUG 2010 Clinical Programming For Novice Ramesh Ayyappath 5
PharmaSUG 2010 ClinicalTrials.gov: Creating an XML upload from SAS Daniel J. Boisvert,
Andy Illidge,
Troy A. Ruth		 11
PharmaSUG 2010 Create Comprehensive Patient Profiles with SAS Sanjay N. Matange,
Daniel O'Connor		 12
PharmaSUG 2010 Creating SV and Se First Henry B. Winsor,
Mario Widel		 7
PharmaSUG 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach 9
PharmaSUG 2010 From SAP to ADaM: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 9
PharmaSUG 2010 MAED Service: A SAS Tool for Implementing SMQs and Performing MedDRA-Based Analyses of AE Data P. Chris Holland 9
PharmaSUG 2010 The CDISC/FDA Integrated Data Pilot: A Final Summary of Findings, Reviewer Feedback, and Recommendations Implementing CDISC Standards Within and Across Studies Chris Decker 20
PharmaSUG 2010 The Compliance and Implementation of Clinical Trial Outcome Disclosure on ClinicalTrials.gov Eric T. Sun,
Craig Anderson		 13
PharmaSUG 2010 Using the SAS Clinical Standards Toolkit to Validate CDISC SDTM Data [presentation] Gene Lightfoot,
Bill J. Gibson		 33
SGF 2010 Analytics in the Converging Health and Life Sciences Industries: The Catalyst for the Next Generation of Healthcare Matt Gross source 15
SGF 2010 Data Simulation for Piloting Clinical Trials Display Programs Brandon L. Welch,
Rita Slater		 source 9
SGF 2010 Predictions of Infection and Their Accuracy Patricia B. Cerrito,
John C. Cerrito		 source 13
SGF 2010 The Past, Present, and Future of Clinical Data Standards Chris Decker source 10
SGF 2010 Where Does This WHERE Statement Go? Scott Davis source 4
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
PHUSE EU 2009 A Framework for Acheiving an Industry-Driven, Open-Source Clinical Reporting System Dante Di Tommaso,
Ann Marie Martin		 source 5
PHUSE EU 2009 ACCESS YOUR DATA IN AN OPEN MANNER Stephen Prust source 10
PHUSE EU 2009 ClinicalTrials.gov - a programmers perspective Ralf Minkenberg source
presentation source		 6
PHUSE EU 2009 Creating Articulate and Captivating e-Learning Courses Tony Cooper source 7
PHUSE EU 2009 Data review: To see or not to see.. Estelle Tiemtore source
presentation source		 6
PHUSE EU 2009 Kendle Implementation of CDASH [presentation] Elke Sennewald,
Gill Lawrence		 source 32
PHUSE EU 2009 Medical Data Review in Exploratory Drug Development Michaela Jahn,
Joshua Haznedar		 source
presentation source		 21
PHUSE EU 2009 Medical Research: What should Programmers prepare for? Emilie Brennion source 12
PHUSE EU 2009 Moving from Full Development to Translational Medicine Nassim Sleiman source 5
PHUSE EU 2009 Safety analysis using Bayesian simulation methods in SAS 9.2 Armin Gemperli source 8
PHUSE EU 2009 Simple Safety Monitoring with Signal Detection [presentation] Magnus Mengelbier source 22
PHUSE EU 2009 Techniques for Assigning NCI CTC Grades to Laboratory Results Carol Matthews source 7
PHUSE EU 2009 The CDISC/FDA Integrated Data Pilot: A Case Study in Implementing CDISC Standards to support an Integrated Review Chris Decker source
presentation source		 15
PHUSE EU 2009 Using SAS Macros to simplify preparation and validation of SDTM data, Annotated CRFs and Define.xml in a metadata driven environment Niels Both source
presentation source		 10
MWSUG 2009 Where Does This Where Go? Scott Davis 4
NESUG 2009 A Complete Derivation of Duration and Display in ISO 8601 Using SAS Program Joyce Gui,
Helen Wang,
Sandy Wang		 8
NESUG 2009 A Practical Introduction to implementing the Clinical Data Acquisition Standards Harmonization (CDASH) standards Jennifer Price 7
WUSS 2009 CDISC for the Medical Device and Diagnostic Industry: An Update Carey G. Smoak source 3
WUSS 2009 How a SAS/IntrNet tool was created at the FDA for the detection of potential drug-induced liver injury using data with CDISC standard Kate Gelperin,
Ted J. Guo,
John Senior		 source 17
WUSS 2009 The CDISC Study Data Tabulation Model (SDTM): History, Perspective, and Basics Fred Wood source 9
PharmaSUG 2009 %ANYTL: A Versatile Table/Listing Macro Yang Chen 11
PharmaSUG 2009 A Framework For Achieving An Industry-Driven, Open-Source Clinical Reporting System Dante Di Tommaso,
Ann Marie Martin,
Paul OldenKamp,
Paul D. Hamilton		 6
PharmaSUG 2009 A Practical Introduction to Clinical Data Acquisition Standards Harmonization (CDASH) Jennifer Price 5
PharmaSUG 2009 A SAS Macro Application for Generating Patient-Level Reports in Clinical Studies Yao Huang 4
PharmaSUG 2009 A SAS Macro for Creating Adverse Event Analysis Dataset Daniel Li,
Suwen Li,
Stephanie Sproule		 10
PharmaSUG 2009 A Statistical Analysis System for Categorical Data using SAS Cheng Jun Tian 10
PharmaSUG 2009 ARROW Clinical Data Analysis System: An Integration of Statistical Analysis and Reporting Cheng Jun Tian,
Denis Michel		 9
PharmaSUG 2009 Automate the Process of Creating and Updating Titles and Footnotes of TLG for a Clinical Study Report from a Table Shell Document Xiangchen (Bob) Cui,
Shan Chen,
Mei Wu		 18
PharmaSUG 2009 Medical Coding System for Clinical Trials - 21 CFR Part 11 Compliant SAS/AF Application Annie S. Guo 12
SGF 2009 A Framework to Customize Frame: Building an Interactive Report Web Portal by ODS Xin Wei source 10
PHUSE EU 2008 Applying SMQs to Adverse Event Data John van Bemmelen source 10
PHUSE EU 2008 Automated Drug Safety Signal Detection with Guided Ana Eric C. Brinsfield,
David Olaleye		 source 7
PHUSE EU 2008 Automated table generation: The macro SAS %GEEWHIZ Guido Wendland source 12
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 Developing a clinical reporting system collaboratively under an Open Source software license. Ann Marie Martin source 7
PHUSE EU 2008 Drug Safety Reporting - now and then David J. Garbutt source 23
PHUSE EU 2008 Flexible Code Using Arrays With a Variable Name Wildcard Jonathan Goodard source 4
PHUSE EU 2008 Implementing CDISC at Boehringer Ingelheim Michael Knoessl,
Peter Leister		 source 5
PHUSE EU 2008 In at the Deep-End (thoughts on mapping multiple studies into CDISC for an ISS/ISE) Andrew Noller source 7
PHUSE EU 2008 Statistically guided review of safety data in clinical trials Michael O'Connell,
Harry Southworth		 source 12
PHUSE EU 2008 The application of SDTM in a disease (oncology)-oriented organization Angelo Tinazzi,
Enrica Paschetto		 source 8
PHUSE EU 2008 Validation of Clinical Output: More Quality with Less Effort Jules Van der Zalm source 7
MWSUG 2008 Blinding Sponsors for Open Label Studies: Challenges and Solutions Quan Jenny Zhou,
Shengyan Hong,
Zhengping Ma		 9
NESUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
NESUG 2008 Multiple Adverse Event Tables without Surgical Intervention Adel Fahmy,
Carol Matthews		 11
PharmaSUG 2008 A regulatory submission "DEFINE"d: The who, where, and what Robby A. Diseker,
Lindsay Dean		 9
PharmaSUG 2008 Automated Drug Safety Signal Detection with Guided Analysis Eric C. Brinsfield,
David Olaleye		 5
PharmaSUG 2008 Automated SAS Macro for Adverse Event Logistic Regression Analysis Suhas R. Sanjee 8
PharmaSUG 2008 Avoiding the "Ooh Nasty" David W. Franklin 9
PharmaSUG 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta 15
PharmaSUG 2008 Create Flowcharts Using Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 6
PharmaSUG 2008 EZTABLE Macros Daniel Huang 12
PharmaSUG 2008 Labor-Saving SQL Constructs Brian P. Fairfield-Carter,
David W. Carr		 11
PharmaSUG 2008 Methods for Flexibly Controlling Combined and Customized Outputs Xiaoyu (Sean) Liu 4
PharmaSUG 2008 Sample Size Estimation for Trials of Recurrent Events Kuolung Hu 8
PharmaSUG 2008 The CDISC Study Data Tabulation Model (SDTM): History, Perspective, and Basics Fred Wood 8
PharmaSUG 2008 The Power of PROC GPLOT in Statistical Analysis of Clinical Studies Aiming Yang 13
PharmaSUG 2008 Tightening the Corners for Better Search Efficiency Meera G. Kumar 5
PharmaSUG 2008 Using Pharmacovigilance Reporting System to Generate Ad-hoc Reports Jeff Cai 9
PharmaSUG 2008 Using Scheduler to Automate Pharmacovigilance Reporting David Clawson 12
PharmaSUG 2008 Utilizing the SAS Business Intelligence Platform in a Clinical Trial Environment Brian K. Varney,
Mindy Kiss		 5
SGF 2008 An Interpretation of Sparkline Graphs and Their Creation with SAS Software Paul OldenKamp source 7
SGF 2008 CDISC: Pains and Pitfalls of Data Set Creation Steven L. Michaelson,
Janet E. Stuelpner		 source 5
SGF 2008 Clinical-Data Acceptance Testing Procedure Sunil Kumar Gupta source 15
SGF 2008 Creating Flowcharts Using the Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 source 6
SGF 2008 Increased Team Effectiveness through Information Visualization Using ActiveX Drill-Down Graphs Created via SAS/GRAPH Terek J. Peterson,
Robert Gordon		 source 19
SGF 2008 Labor-Saving SQL Constructs Brian P. Fairfield-Carter,
David W. Carr		 source 10
SGF 2008 Standard Management-Approved Report Templates: The SMART System Gary S. Stevens source 7
SGF 2008 Tools of Miscalculation: Managing Missing Values with SAS William C. Murphy source 4
SGF 2008 Using Excel XP to Display SDTM Metadata and More Christine S Teng,
Shaoan Yu		 source 8
NESUG 2007 Common Pitfalls in SAS Statistical Analysis Macros in a Mass Production Environment Huei-Ling Chen,
Aiming Yang		 9
NESUG 2007 Create Flowcharts Using Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 6
NESUG 2007 Creating ActiveX Graphs for Presentations using SAS Enterprise Guide ... And Drill-Down Graphs Too Terek J. Peterson,
Robert Gordon		 10
NESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS - Part 1 Vincent DelGobbo 20
NESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS - Part 2 Vincent DelGobbo 19
NESUG 2007 Macros: Data Listings with Power Daphne E. Ewing 8
NESUG 2007 Metadata 101: A Beginner's Guide to Table-Driven Applications Programming Frank C. DiIorio 11
NESUG 2007 Relationships Between CDISC Variables Linking Domains (relrec) (CDISC Variable Relationships Part 3 of 3) Susan Fehrer,
Russell M. Lavery		 12
NESUG 2007 The SQL Procedure: Tricks and Techniques for Efficiency and Simplicity Sreekanth Reddy Middela,
Suhas R. Sanjee		 4
NESUG 2007 Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting John Ulicny,
Thomas Klumpp		 13
SESUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
MWSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
WUSS 2007 Auto-Attributes: No More Typing of Variable Labels (and Other Attributes) Jonathan M. Squire,
Johnny Tai		 source 7
WUSS 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
WUSS 2007 Using Annotate to Create Flowcharts Priya Lakshmi Saradha,
Gurubaran Veeravel		 source 7
PHUSE EU 2007 Bayesian Modelling with SPLUS and the S+flex Bayes library Andrew Jack,
Dawn Woodard		 source 11
PHUSE EU 2007 Clinical Research Information Management... David Handelsman source 8
PHUSE EU 2007 Compute; Your future with Proc Report Ian J Dixon,
Suzanne E Johnes		 source 11
PHUSE EU 2007 Data mining in the clinical research environment David Smith source 7
PHUSE EU 2007 DQC checker Ryan Finch source 7
PHUSE EU 2007 From local lab to standards and beyond Angelo Tinazzi,
Irene Corradino		 source 10
PHUSE EU 2007 LSLV to Final CSR Tables in 24 hours - Dream or Reality? Stinder Fowler source 10
PHUSE EU 2007 MAKS: A validated SAS Macro Library for data in SDTM structure Rolf Meinert,
Katrin Bhalla-Muller		 source 3
PHUSE EU 2007 Medical safety review Marleen Nijs,
Ilse Augustyns		 source 7
PHUSE EU 2007 Relationships between CDISC variables linking domains (relrec) Susan Fehrer,
Russell M. Lavery		 source 12
PHUSE EU 2007 Standard Management Approved Report Templates Gary S. Stevens source 7
PHUSE EU 2007 Web-enabling the Pharmaceutical sector Raymond Ebben,
Jules Van der Zalm		 source 14
SCSUG 2007 Create Flowcharts Using Annotate Facility Priya Lakshmi Saradha,
Gurubaran Veeravel		 7
PNWSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
PharmaSUG 2007 A Low Cost Graphical Patient Profiler with SAS MetaViewApplet Ya Huang 6
PharmaSUG 2007 A Scalable Platform For Clinical Trials - Interoperability And Automation In A Web-Based Environment John R. Gerlach,
Maulik Shah		 11
PharmaSUG 2007 An Application of ODS Tagset to Produce HTML Files for Clinical Study Reports Li Luo 10
PharmaSUG 2007 An Efficient Report Checking Method Xuejing (Susan) Mao,
Mario Widel		 7
PharmaSUG 2007 Can Coding MedDRA and WHO Drug Be as Easy as a Google Search? Sy J. Truong 9
PharmaSUG 2007 CDISC Implementation Step by Step: A Real World Example Sy J. Truong 19
PharmaSUG 2007 CDISC: Pains and Pitfalls to Dataset Creation Janet E. Stuelpner,
Steven L. Michaelson		 5
PharmaSUG 2007 Challenge the Specs Catherine Edwards 7
PharmaSUG 2007 Clinical Adverse Events Data Analysis and Visualization Shi-Tao Yeh 12
PharmaSUG 2007 Creating AND Importing Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 20
PharmaSUG 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo 19
PharmaSUG 2007 Evolution and Implementation of the CDISC Study Data Tabulation Model (SDTM) Fred Wood,
Tom Guinter		 7
PharmaSUG 2007 Graphical Patient Profiles David Stokar 8
PharmaSUG 2007 Implementing Worst Rank Imputation Using SAS Qian Wang,
Eric Qi		 10
PharmaSUG 2007 It's Not All Relative: SAS/Graph Annotate Coordinate Systems Rick Edwards 10
PharmaSUG 2007 Reading Format Values From Formats Library and Creating Labels Automatically Kalyani Kothapalli 4
PharmaSUG 2007 Selective Parameter Passing Angelina Cecilia Mauldin 5
PharmaSUG 2007 Using Proc Report Compute Blocks to Enhance ODS RTF Output David Ryerson 10
PharmaSUG 2007 Using the SAS Information Delivery Portal in the Pharmaceutical Sector Raymond Ebben 12
SGF 2007 Can Coding MedDRA and WHO Drug Be as Easy as a Google Search? Sy J. Li,
Na Truong		 source 9
SGF 2007 Creating ActiveX Graphs for Presentations using SAS Enterprise Guide ... And Drill-Down Graphs Too Terek J. Peterson,
Robert Gordon		 source 10
SGF 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
SGF 2007 Creating Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 19
SGF 2007 Perl Regular Expressions 102 Kenneth W. Borowiak source 11
PHUSE EU 2006 An Introduction to PROC SQL Anthony Cooper source 20
PHUSE EU 2006 Creating (PK-) concentration - event graphs Berber Snoeijer source 6
PHUSE EU 2006 Duplicates or "Can you repeat that?" Lawrence Heaton-Wright source 5
PHUSE EU 2006 Implementation & Maintenance of a Reporting System Lee Seymour 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 Partial Dates; decisions and implications of handling partially missing dates Rachel Bowman source 6
PHUSE EU 2006 Proc mixed -- Trials and Tribulations Shelley Fordred source 7
PHUSE EU 2006 Statistical Graphics and Reporting in Drug Development Michael O'Connell,
Sven Knudsen		 source 13
PHUSE EU 2006 Titles and Footnotes Macro Jennie McGuirk,
John Woods		 source 8
PHUSE EU 2006 Using CDISC Models for the Analysis of Safety Data Susan J. Kenny,
Edward D. Helton		 source 10
PHUSE EU 2006 Using the SAS Information Delivery Portal in the Pharmaceutical Sector Raymond Ebben source 12
PHUSE EU 2006 Using Web Services to exchange information via XML Edward Foster source 8
PHUSE EU 2006 Visualising Adverse Events in 3D Jayaprabha Ramakrishnan,
Tim Palmer		 source 5
SESUG 2006 A Relational Understanding of SDTM Tables John R. Gerlach source 10
SESUG 2006 Creating AND Importing Multi-Sheet Excel Workbooks the Easy Way with SAS Vincent DelGobbo source 20
WUSS 2006 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker source 5
WUSS 2006 Changing Careers to Become a SAS Programmer in the Biotech/Pharmaceutical Industry Sy J. Truong source 9
WUSS 2006 Dynamic Code Creation Using Call Symput and the SAS Macro Language Mark Gustafson source 4
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
NESUG 2006 Creating ActiveX Graphs for Presentations using SAS Enterprise Guide ... And Drill-Down Graphs Too Terek J. Peterson,
Robert Gordon		 13
NESUG 2006 It's About Time! A Primer on Time-Slotting of Data Using SAS Maria Y. Reiss 13
NESUG 2006 Perl Regular Expressions 102 Kenneth W. Borowiak 11
NESUG 2006 Standard SAS Macros for Standard Date/Time Processing Qin Lin,
Timothy D. Kelly		 18
NESUG 2006 Using PROC GENMOD to Model Adverse Event Counts in a Healthcare Setting John Ulicny,
Thomas Klumpp		 13
PharmaSUG 2006 CDISC Implementation, Real World Applications Sy J. Truong 26
PharmaSUG 2006 Creating ActiveX Graphs for Presentations using SAS Enterprise Guide ... And Drill-Down Graphs Too Terek J. Peterson,
Robert Gordon		 13
PharmaSUG 2006 Dynamic Column Breaking Macro and other Applications Fan Ping,
Richard Schiefelbein		 3
PharmaSUG 2006 Dynamic Output: Do You Have Any Observations? Lara E.H. Guttadauro 4
PharmaSUG 2006 Effective Ways to Manage Thesaurus Dictionaries Sy J. Truong 9
PharmaSUG 2006 Evolution and Implementation of the CDISC Study Data Tabulation Model (SDTM) Tom Guinter,
Fred Wood		 6
PharmaSUG 2006 Imputing ISO8601 Dates From Character Variables Containing Partial Dates John R. Gerlach 4
PharmaSUG 2006 Large Scale Standard Macros - A Methodical Approach to Development and Implementation Jeremy Gratt,
John H. Adams		 18
PharmaSUG 2006 Longitudinal Graphs with Annotate Jasmin Fredette 11
PharmaSUG 2006 Macros to get to "Know Thy Data" Diane E. Foose 14
PharmaSUG 2006 Page Breaks: Simple and Effective Ways to Neatly Present Data Suzanne M. Humphreys 9
PharmaSUG 2006 SAS & Safety Signal Detection and Analysis Karthikeyan Chidambaram,
Sunandan Banerjee		 8
PharmaSUG 2006 SAS Drug Development: Bringing Innovation to Life Sciences David Handelsman 12
PharmaSUG 2006 Using SAS to Manage and Report Long Text Fields in a Clinical DBMS Na Li 7
PharmaSUG 2006 Using Table-Driven Solution in Clinical Safety Pause Rule Reporting Xiaoming Liang,
Paul OldenKamp		 5
SUGI 2006 Advanced Array Applications in Clinical Data Manipulation Zaizai Lu,
David Shen		 source 11
SUGI 2006 Developing, Managing, and Evaluating a Standard Macro System Albert Mo source 10
SUGI 2006 Duration Calculation from a Clinical Programmer's Perspective Alice M. Cheng source 10
SUGI 2006 Dynamic Table Numbering - A Straightforward Approach Diane C. Hall source 3
SUGI 2006 PROC SQL: A Powerful Tool to Improve Your Data Quality Keh-Dong Shiang source 10
SUGI 2006 Subject Profiles Generated with Macro Profile System (MPS) John Iwaniszek source 12
PNWSUG 2005 ODS to RTF: Tips and Tricks Paul D. Hamilton 9
SESUG 2005 Automated Excel-lent Validation Janet E. Stuelpner source 9
SESUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source 20
SCSUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo 20
PHUSE EU 2005 An Introduction to CDISC - Available CDISC Standards and Models and How SAS Supports These Laurie Rose source 43
PHUSE EU 2005 An Introduction to CDISC - CDISC Collaborations and Standards in Progress Becky Kush source 46
PHUSE EU 2005 CLIREV - A friendly and flexible Clinical Data Review Tool Angelo Tinazzi source 6
PHUSE EU 2005 Customer oriented CDISC implementation Edelbert Arnold,
Ulrike Plank		 source
poster source		 13
PHUSE EU 2005 Data Mining in a Pharmaceutical Environment Franky De Cooman source 4
PHUSE EU 2005 Implementing Shared Column Variables Shan Lee source 8
PHUSE EU 2005 ODM & define.xml David Iberson-Hurst source 58
PHUSE EU 2005 Only Interactive Graphics Will Do Nelson Kinnersley source 4
PHUSE EU 2005 SAS Dataset Content Conversion to CDISC Data Standards Anthony L. Friebel source 9
PHUSE EU 2005 Signal Detection in EudraVigilance Jim Slattery source 5
PHUSE EU 2005 Splendida fugilente oculi, e.g. dummy randomization lists to more than designed patient profiles Magnus Mengelbier source 5
PHUSE EU 2005 The Dataset Diet - How to transform short and fat into long and thin Kathryn Wright source 6
PHUSE EU 2005 Visions of a Drug Development Data Warehouse Paul Vervuren source 7
WUSS 2005 Duration Calculation from a Clinical Programmer's Perspective Alice M. Cheng source 9
WUSS 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source 20
NESUG 2005 Large Scale Standard Macros - A Methodical Approach to Development and Implementation Jeremy Gratt,
John H. Adams		 18
NESUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo 20
NESUG 2005 Setting Uniform Spacing Between Columns for Table/Listings Lily Yu 4
NESUG 2005 Using GRADAR Procedure to Display Clinical Data Shi-Tao Yeh 13
PharmaSUG 2005 %PREFTAB - A macro to automatically create adverse event, medical history and concomitant medication tables Wilfried Esken 11
PharmaSUG 2005 A Technique for Producing Sorted Columns with a Hanging First Line Using PROC REPORT David C. Izard,
David C. Chen		 6
PharmaSUG 2005 Advanced Array Applications in Clinical Data Manipulation Zaizai Lu,
David Shen		 9
PharmaSUG 2005 An Approach Finding the Right Tolerance Level for Clinical Data Acceptance Karen Walker 6
PharmaSUG 2005 An Introduction to Regular Expressions with Examples from Clinical Data Richard F. Pless,
Highland Park		 8
PharmaSUG 2005 Analyzing and Displaying Study Data in Clinical Trials Made Easy Denise J. Smith 15
PharmaSUG 2005 Automated Excel-lent Validation Janet E. Stuelpner 9
PharmaSUG 2005 Don't Stay up Late Completing your Late-Phase Analysis! Kathleen Kushner 8
PharmaSUG 2005 Everything You Always Wanted to Know About Fuzzy Merges But Were Afraid to Ask - A Guide to Merging Datasets with Non-Exact Keys Using SAS Proc SQL Robert W. Graebner 4
PharmaSUG 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo 20
PharmaSUG 2005 Pharmacovigilance and Drug Safety Reporting Algorithms (Content and Process) David Olaleye,
Michael Kilhullen,
Gail Kongable,
Tanyss Mason,
Eugenia Bastos,
Edward D. Helton		 8
PharmaSUG 2005 Prepare Data Listings with SAS Software for Database Audit Jay Zhou,
Larry Shen		 8
PharmaSUG 2005 Programming and Data Differences Between Clinical Trials and Observational Studies Margaret M. Coughlin 6
PharmaSUG 2005 Retrieving SAS Programs Back From PDF Files Eric Zhang 6
PharmaSUG 2005 SAS Dataset Content Conversion to CDISC Data Standards Anthony L. Friebel,
Thomas Cox,
Edward D. Helton		 10
PharmaSUG 2005 Selected SAS Macro and SQL Techniques For Efficient Analysis Programming Brian P. Fairfield-Carter 12
PharmaSUG 2005 Streamlining Processes: Reconciling Programming and Documentation James E. Witt 11
PharmaSUG 2005 The Role of Analysis Datasets in Successful FDA Advisory Meetings Sandy Chang 9
SUGI 2005 CALL EXECUTE: A Powerful Data Management Tool Denis Michel source 13
SUGI 2005 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source
zip		 20
SUGI 2005 Reporting Statistical Results with PROC REPORT Nestor Rohowsky source 6
NESUG 2004 Clinical Trials Online - Running SAS on the Web Without SAS/IntrNet Quan Ren 15
NESUG 2004 From SAS to Excel via XML Vincent DelGobbo 14
SESUG 2004 Moving Data and Analytical Results between SAS and Microsoft Office Vincent DelGobbo source 20
WUSS 2004 Comparing Two SAS Data Sets: Start at the Top Ann Olmsted source 5
WUSS 2004 Constructing Analysis Files: A Multi-Tiered Approach Tyler Cole source 7
WUSS 2004 Successful FDA Advisory Meetings by using Analysis Datasets Sandy Chang,
Steven Wong		 source 10
WUSS 2004 Text Processing with the New Perl Regular Expression Functions Richard F. Pless source 11
WUSS 2004 The Path to Data Standards Sy J. Truong source 10
WUSS 2004 Validating Data Via PROC SQL Keh-Dong Shiang source 7
PharmaSUG 2004 An FDA-Requested XML Replacement for SAS Version 5 Transport Files in U.S. Regulatory Submissions Michael C. Palmer 5
PharmaSUG 2004 Automation of Patient Narratives Using SAS and Analysis Datasets David C. Izard 6
PharmaSUG 2004 Building a Powerful Clinical Decision Support System Using SAS/IntrNet Nick Pászty 10
PharmaSUG 2004 Clinical Trials Terminology for SAS Programmers Sy J. Truong 6
PharmaSUG 2004 Constructing Analysis Files: A Multi-Tiered Approach Tyler Cole 7
PharmaSUG 2004 Creating PDF Files for SAS Programs Eric Zhang 9
PharmaSUG 2004 Data Standards with and without CDISC Sy J. Truong 8
PharmaSUG 2004 Instant SAS Applications With VBScript, Jscript, and dHTML Brian P. Fairfield-Carter,
Tracy Sherman,
Stephen Hunt		 12
PharmaSUG 2004 One Frequency Macro for All Frequency Tables Sam Mao 9
PharmaSUG 2004 PROC POWER: V9.1 Deborah J. Bauer 6
PharmaSUG 2004 Programming Tips and Examples for Your Toolkit John Morrill,
Kristi Wiser		 8
PharmaSUG 2004 SAS and Microsoft Excel for Tracking and Managing Clinical Trial Data: Methods and Applications for Information Delivery Na Li 11
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 Tools to Facilitate the Creation of Pooled Clinical Trials Databases Patricia Majcher 8
PharmaSUG 2004 Using a Decision Table to Program Complex Date Logic Arthur Collins 4
PharmaSUG 2004 Version Control on the Cheap. A User-Friendly, Cost-Effective Revision Control System for SAS Tim P. Williams 11
PharmaSUG 2004 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson 12
SUGI 2004 An Introduction to Regular Expressions with Examples from Clinical Data Richard F. Pless source 9
SUGI 2004 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren source 16
SUGI 2004 Designing Validation and Verification Activities as a Staff Development Tool John Gorden source 8
SUGI 2004 PROC POWER in SAS 9.1 Deborah J. Bauer,
Russell M. Lavery		 source 7
SUGI 2004 Solutions to the Investigation of Healthcare Outcomes in Relationship to Healthcare Practice Patricia B. Cerrito source 18
SUGI 2004 Using Text Files to Enhance SAS Code David J. Austin source 11
SUGI 2004 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson source 13
WUSS 2003 Getting the Right Data to the Right People the Right Way at the Right Time. Building a Powerful Clinical Decision Support System Using SAS/Intrnet Nick Pászty source 6
WUSS 2003 MedDRA Made Easy with SAS/IntrNet Sy J. Truong source 9
WUSS 2003 Two Approaches to Presenting Hierarchical Clinical Trials Data through SAS/IntrNet Using SAS/GRAPH DSGI and SAS Treeview Applet Nick Pászty source 6
MWSUG 2003 Missing observations: Identification and resolutions using the SAS System Doug Moore,
Tahereh Nourbakhsh		 14
NESUG 2003 Date/Time Stamped Files and Audit Trails: What Part 11 Compliant SAS Systems are Made Of Carolyn Dougherty 11
SEUGI 2003 Opportunities for efficiency gains created by the availability of the Output Delivery System [presentation] John Kirkpatrick source 25
PharmaSUG 2003 Automated Page Breaking and Numbering For Output Lara E.H. Guttadauro 4
PharmaSUG 2003 Clinical Data Model and FDA/CDISC Submissions Mark Edwards,
Gajanan Bhat		 10
PharmaSUG 2003 Clinical Data Standards - An eSubmissions Perspective Shy Kumar 6
PharmaSUG 2003 Data Extraction & MedDRA: A SAS Coding Shortcut Fang Dong,
Saket Badola		 4
PharmaSUG 2003 Likelihood Approach in Estimation and Testing Problems Involving Grouped Data Daniel Bonzo,
InfoVision Consultants		 8
PharmaSUG 2003 Macro Specializing in Adverse Events Reporting Tony T. Salehi,
Doug Moore		 2
PharmaSUG 2003 Progress Toward Standardization of Submissions with the Electronic Common Technical Document and the Evolving Standardization of Clinical Data Susan Bairnsfather 8
PharmaSUG 2003 SAS and MedDRA - A Winning Combination A "Home Grown" application for the Medical Coding of Adverse Events with MedDRA Elaine Dempsey 4
PharmaSUG 2003 Using Indexes to Perform Table Look-up Sandra Lynn Aker 4
PharmaSUG 2003 Why SAS is the Best Place to Put Your Clinical Data Steven A. Wilson 10
SUGI 2003 A Simplified and Efficient Way to Map Variables of a Clinical Data Warehouse Yanyun Shen source 6
SUGI 2003 A Table-Driven Solution for Clinical Data Submission Jim Sattler source 6
SUGI 2003 Creating Tables or Listings with a Zero-Record SAS Data Set -- Basic Program Structure and Three Simple Techniques Rubin Nan,
Victor Loher		 source 3
SUGI 2003 ODS to RTF: Tips and Tricks Paul D. Hamilton source 9
SUGI 2003 Report? Make It Easy - An Example of Creating Dynamic Reports into Excel Liping Huang source 6
MWSUG 2002 Using ODS to Create User Defined Reports Without Proc Template Nicolle Mode 4
NESUG 2002 Calling External Compiled Code into SAS with Application to Clinical Trial Safety Analyses Eric Qi,
A. Lawrence Gould,
Liping Zhang,
Weifeng Xu		 3
NESUG 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren 7
NESUG 2002 Merging Multiple Observation Data Sets Together Timothy D. Kelly 2
PharmaSUG 2002 A data dictionary. A more complete alternative to Proc contents. Angelina Cecilia Casas 4
PharmaSUG 2002 A Web Based Clinical Data Browser Eric Grelak,
Chester Springs		 6
PharmaSUG 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren 8
PharmaSUG 2002 Data Dependent Footnotes using PROC REPORT Angelina Cecilia Casas 4
PharmaSUG 2002 Data Exploration in the Pharmaceutical Industry Andrew T. Fagan 8
PharmaSUG 2002 Date and Time Values in Clinical Trial Data George Li 4
PharmaSUG 2002 IND Annual Reporting at a Glance Kristi Wiser 6
PharmaSUG 2002 It's Easy If You Know How: Importing, Processing, and Exporting CDISC XML with SAS Michael C. Palmer 4
PharmaSUG 2002 ODS to RTF: Tips and Tricks Paul D. Hamilton 10
PharmaSUG 2002 Pitfalls and Successes of Automating In-Text Tables for a Clinical Study Report: A Case Study Matthew J. Becker 6
PharmaSUG 2002 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta 10
PharmaSUG 2002 The 800-Pound Gorilla: Taking on the Challenge of Globally Standardizing Adverse Event and Medication Reporting Deborah Harper,
Jennifer Tjernagel		 4
SUGI 2002 An Useful Chart to Display Adverse Event Occurrences in Clinical Trials Chuanchieh Hsu,
Zhongwei Zhou,
James M. Hardin		 source 4
SUGI 2002 Clinical Trial Online - Running SAS on the Web without SAS/IntrNet Quan Ren source 7
SUGI 2002 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2002 Dynamic Data Matching in Clinical Trial Research Zaizai Lu,
David Shen		 source 4
SUGI 2002 Macros: Data Listings with Power Daphne E. Ewing source 6
SUGI 2002 Quick Results in PROC REPORT Sandra D. Schlotzhauer,
J. Meimei Ma,
Maria Ilieva		 source 10
SUGI 2002 To ODS RTF and Beyond David Shannon source 8
MWSUG 2001 Date & Time Values in Clinical Trial Data George Li,
John Morrill		 4
MWSUG 2001 Work Process from Data Management to Final Analysis File Creation (Scope: Adverse Events) Tony T. Salehi 4
NESUG 2001 Using SAS/Warehouse Administrator., Enterprise Guide., and Enterprise Reporter. to Manage and Access a Clinical Data Warehouse Theresa J. Kelso 3
VIEWS 2001 Software Validation in Clinical Trial Reporting: Experiences from the Biostatistics & Data Sciences Department Andrea Baker presentation 5
WUSS 2001 Clean Your Data with PROC SQL Ann Olmsted source 5
SEUGI 2001 Software Validation in Clinical Trial Reporting: Experiences from the Biostatistical & Data Sciences Department [presentation] Andrea Baker source 25
PharmaSUG 2001 %ICS - A SAS Macro to Automate Individual Case Summaries Doug E. Lassman 8
PharmaSUG 2001 Data Visualization of Phase 1 Clinical Studies - "Big Al's World" or Using SAS Version 8 to Acquire Quality Ice Cream Richard F. Synowiec 8
PharmaSUG 2001 Developing a SAS Macro Library to Create Standard Clinical Data Summary Reports Chad W. Melson,
James T. Decker		 10
PharmaSUG 2001 Enhancing Code with the SQL Procedure Jeff Goodrich 6
PharmaSUG 2001 Leveraging Existing SAS Programs for Wireless Delivery Deborah A. Testa,
Russell Holmes		 3
SUGI 2001 Analysis of Count Data Using SAS Alexander Pedan source 6
SUGI 2001 Clinical Trial System - A Front End SAS/AF Application Quan Ren source 7
SUGI 2001 Data Cleaning 101 Ronald P. Cody source 10
SUGI 2001 Data Visualization of Phase 1 Clinical Studies - by "Big Al's Worlds " Richard F. Synowiec source 6
SUGI 2001 Wireless SAS Applications for Tracking Clinical Research Deborah A. Testa,
Russell Holmes		 source 3
SCSUG 2000 Data Cleaning 101 Ronald P. Cody 13
SESUG 2000 Using SAS/AF to Create Applications for Looking Up and Coding Adverse Events and Generic Drug Names in Clinical Trials Karen B. Fowler,
Emily A. Mixon		 source 3
NESUG 2000 A Coding History for Clinical Data Phyllis Wolf 2
NESUG 2000 Programming Data Displays Using SAS Software: Meeting Regulatory Requirements for Quality Michael A. Walega 11
WUSS 2000 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 5
SEUGI 2000 Efficient reporting to the authorities using SAS [presentation] An Smets source 37
SEUGI 2000 From Infancy to Maturity: SAS/PH-Clinical Introduction at Fujisawa [presentation] Soren Kristiansen source 40
SEUGI 2000 Targeted Drug Discovery through Data Mining [presentation] John C. Brocklebank,
Wayne Thompson		 source 28
PharmaSUG 2000 A Standard Reporting System for Phase 1 Clinical Trials A SAS Based Application "Clin Pharm World" Fang Dong,
Lorraine Dunn,
Brian Rosson,
Richard F. Synowiec		 4
PharmaSUG 2000 Data Mining and Statistics in a Pharmaceutical Environment Franky De Cooman 3
PharmaSUG 2000 POINT: A useful way to get around your data Greg Silva 4
PharmaSUG 2000 SAS for Analyzing Side-effects of Drugs Christine Vander Vorst 3
PharmaSUG 2000 SAS version 8 ODS for Drug Safety Reporting (Without Use of HTML) Rene E. Laurencot 6
PharmaSUG 2000 Subject Profiles: (Almost) as easy as 1, 2, 3 Greg Silva 4
PharmaSUG 2000 Using the Annotate Facility for Enhancing Output Marcia Branham,
Timothy Maxwell		 7
SUGI 2000 Fast Track to PROC REPORT Results Meimei Ma,
Sandra D. Schlotzhauer		 source 10
SUGI 2000 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 5
SUGI 2000 Standard Reporting System for Phase I Clinical Trials Fang Dong,
Brian K. Rosson,
Richard F. Synowiec,
Lorraine Dunn		 source 4
SUGI 2000 Use of SPEDIS Function in Finding Specific Values Yefim Gershteyn source 3
SUGI 2000 Using Macros as a Data Table Generation Tool Daphne E. Ewing 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 Generalized Report Programming Techniques Using Data-Driven SAS Code Kathy Hardis Fraeman,
Karen G. Malley		 7
MWSUG 1999 New PROC REPORT Procedure - An Enhanced PROC REPORT Quan Ren 4
MWSUG 1999 PROC SQL Dictionary Tables - A Great Source of Information about Data Sets Wendih S. Yao 4
SEUGI 1999 Clinical processes and SAS/PH-Clinical, a good marriage? [presentation] Patrick Genyn source 24
SEUGI 1999 SAS solution for analysing side effects of drug [presentation] Christine Vander Vorst,
Lieve Debaecke		 source 31
SEUGI 1999 Using SAS software with other packages to produce faster and more reliable analysis of adverse events in clinical trials [presentation] Michael O'Kelly source 34
SUGI 1999 Developing Standardized Requirements, Specifications and Programs for Clinical Trials Reports Deborah J. Harper,
Nancy Brucken,
Christopher Makowski		 source 4
SUGI 1999 New PROC REPORT Procedure - An Enhanced PROC REPORT Quan Ren source 4
NESUG 1998 Monitoring Data Discrepancies During Clinical Trials Cornelius Chase 4
SESUG 1998 Programmatic Generation of Table Specifications Using the SAS Macro Facility Weimin "WilHam" Sun,
Caroline Stewart		 10
SESUG 1998 SERENDIPITY A ''Big Picture" Data Diagnostic Program for COnical Trials Data Dorothy E. Pugh 4
SEUGI 1998 Development of an interactive review and reporting tool based on SAS/PH-Clinical software [presentation] Sylvia Pratz source 33
SEUGI 1998 Making the most of dictionary views in the SAS Help Library Simon Wilcock source 10
SEUGI 1998 SAS Software for analyzing the side effects of drugs [presentation] Irmgard Asnong,
Annick Persoon,
Christine Vander Vorst		 source 21
PharmaSUG 1998 A Data Audit Report for Any Occasion Drew K. Edwards 7
PharmaSUG 1998 A Technique for Importing External Data into a Relational Database Using PROC SQL, the Pass-Through Facility and the Macro Language Paul Doucette 7
PharmaSUG 1998 Advanced Techniques for Creating Format with Variables Values Erika Y. Liu 3
PharmaSUG 1998 Development of Global Reporting Systems for the Hoechst Marion Roussel Inc. Dorothy Hu Huang,
I. Outline		 7
PharmaSUG 1998 Identifying and Reporting of Medically Serious Adverse Events: An Interactive Approach Anna Kunina,
Palo Alto		 3
PharmaSUG 1998 PROC SQL Dictionary Tables - A Great Source of Information about Data Sets Wendih S. Yao 4
PharmaSUG 1998 SAS Techniques for Developing an Intranet Drug Safety Review System Dennis X. Tang,
Mickey Cheng		 10
PharmaSUG 1998 Transposing a Relational Database: The Q-System for Pharmaceutical Safety Summarization, Graphics and Analysis Mary Cowmeadow 8
SUGI 1998 Advanced Techniques for Creating Format with Variable Values Erika Y. Liu source 3
SUGI 1998 Individual Summaries: Bigger Needles in Smaller Haystacks Joel J. Gruenke source 5
SUGI 1998 On Data Transfer Aileen L. Yam source 10
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
PNWSUG 1997 Developing SAS/AF Class Libraries for Automated Program Generation Carl R. Haske 9
WUSS 1997 A Data Management System for Use in Smaller Biotech Companies Ellen Krantz source 5
WUSS 1997 The Use of Central Analysis File or Patient File in the Analysis and Management of Clinical Trials Data Ajit Gemunu de Silva source 3
NESUG 1997 Using PROC SQL to Create Ad Hoc Reports Anne Marie Smith 7
MWSUG 1997 Transporting a Relational Database: The Q-System for Pharmaceutical Safty Summarization, Graphs, and Analysis Mary Cowmeadow 5
SESUG 1997 Developing SAS/AF Class Libraries for Automated Program Generation Carl R. Haske 9
SESUG 1997 Identifying Clinical Practice Improvement Opportunities Using Resampling Techniques in PROC MULTTEST Gregory L. Pearce 6
SEUGI 1997 A data management system for use in the pharmaceutical and biotechnology Industries Ellen Krantz source 12
SEUGI 1997 HP Clinical, a software tool for faster and better checking of clinical data Fredrik Hedvall,
Per Haglund,
Jesper Abrahamsson		 source 9
SEUGI 1997 Information delivery techniques used for standard analysis of clinical trials Dirk Grosse source 9
SEUGI 1997 Understanding and enforcing standards to promote efficiency Meimei Ma,
Sandra D. Schlotzhauer		 source 9
SEUGI 1997 Using SAS software to fulfill an FDA request for database documentation Adam Crisp,
Panteleo Nacci		 source 11
PharmaSUG 1997 A SAS/AF Class Library for Automated Generation of Clinical Report Programs Carl R. Haske 7
PharmaSUG 1997 Adverse Events Summary Tables in Clinical Trials: Incorporating P-values Using SAS Macros and SAS/AF Incorporating P-values 10
PharmaSUG 1997 ClinAccess: An Integrated Client/Server Approach to Clinical Data Management and Regulatory Approval Martin J. Rosenberg 9
PharmaSUG 1997 Developing a Suite of Clinical Report Macros for SAS/PH-Clinical Paul M. Gilbert,
Steven Light		 9
PharmaSUG 1997 FDA Initiatives: Electronic Data Interchange (EDI) for Drug Safety Monitoring Bill Calvert 3
PharmaSUG 1997 How Do I Take the Mean of an Apple and an Orange? Techniques for Integrating Data from Multiple Studies Linda Collins 8
PharmaSUG 1997 Migration of SAS Environment from IBM Mainframe to UNIX CLIENT/SERVER Setting Dorothy Hu Huang,
Hoechst Marion Roussel		 3
PharmaSUG 1997 The Standard Programs Management System (SPMS): A Utility to Manage Report Generation within a SAS/AF Application Fern Grillo 2
SUGI 1997 A Standard Adverse Event Summary Report Generation Frank Liu source 7
SUGI 1997 Creating Clinical Trial Summary Tables Containing P-Values: A Practical Approach Using Standard SAS Macros Jun Zuo,
Carl R. Haske		 source 6
SUGI 1997 Creating Forms Using the DATA Step Graphic Interface (DSGI) Harvey Monder source 4
SUGI 1997 Overcoming Kainophobia: Replacing Complex Merges with PROC SQL Brenda M. Barber source 6
SUGI 1997 Report Writing, SAS/GRAPH Creation, and Output Verification Using SAS/ASSIST Software Matthew J. Becker source 6
SUGI 1997 Using Resampling Techniques in PROC MULTITEST to Evaluate Surgeon SpecificResults Following Coronary Artery Bypass Graft (CABG) Surgery Gregory L. Pearce,
Peter H. Westfall		 source 5
SESUG 1996 Report Writing, SAS/GRAPH Creation, and Output Verification using SAS/ASSIST Matthew J. Becker 8
NESUG 1996 A Standard Adverse Event Summary Report Generation Frank Liu 7
NESUG 1996 Conversion of Report Programs to SAS/PH Clinical Templates Paul M. Gilbert,
Steven Light,
Andy Siegel,
Jack Jacobsen		 9
NESUG 1996 Creating Forms Using The Data Step Graphics Interface (DSGI) Harvey Monder 5
NESUG 1996 Macros Developed for Statistical Summary and Tabulation of Clinical Data William Sun,
David Lago,
David Handelsman,
Jack Shostak		 10
WUSS 1996 Using PROC REPORT to Summarize Clinical Safety Data Justina M. Flavin source 5
SEUGI 1996 A Practical Application of a SAS Data Warehouse in Clinical Trial Reporting Christine Smith,
David Smith		 source 6
SEUGI 1996 A SAS Macro to Present a Summary Table of the Number of Patients Having Experienced Adverse Events in a Clinical Trial Christoph Gerlinger,
Ursula Franke		 source 8
SEUGI 1996 Re-engineering the CAPLA: integrating electronic submissions into the drug development Guy Pawson source 34
SUGI 1996 A Simple Methodology for Developing Clinical Reporting Macros Paul M. Gilbert,
Steven Light		 source 6
SUGI 1996 Choosing an Application Development Tool for Your CANDA Barry R. Cohen source 8
SUGI 1996 Using Macros as a Data Table Generation Tool Daphne E. Ewing source 6
NESUG 1995 A Simple Methodology for Developing Clinical Reporting Macros Paul M. Gilbert,
Steven Light		 6
NESUG 1995 Simplifying NDA Programming with PROC SQL Aileen L. Yam 7
NESUG 1995 The Adoption of Computer Interface Technologies in Health Services Delivery Richard Switalski 9
NESUG 1995 The Choice of SAS Software as the Application Development Tool for Your CANDA Barry R. Cohen 9
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 Designing an Integrated Safety Summary of Clinical Trials Linda Collins,
Patricia L. Gerend		 source 6
WUSS 1995 Solutions for the Data "Where?" House: Presenting Data form Many Sources Using SAS and ODBC Andrew J. L. Cary source 10
SEUGI 1995 Adverse Event Surveillance Using the SAS System Julian Singer source 12
SEUGI 1995 Reporting Clinical Adverse Events and Concomitant Medications - How to Compress Several Days Work into a few Minutes Christoph Vidy source 6
SUGI 1995 Simplifying NDA Programming with PROC SQL Aileen L. Yam source 7
SUGI 1995 Using Macros as a Data Table Generation Tool Daphne E. Ewing source 6
SUGI 1995 What A Difference a Line Makes Mary Cowmeadow,
Paul C. Wehr		 source 6
WUSS 1994 A Computer Assisted New Drug Application (CANDA) Using SAS/AF Frame and SAS/PH-Clinical Ai-Yu Wu,
Doug Brown		 source 4
WUSS 1994 Advantages and Pitfalls of the SQL Procedure Patricia L. Gerend source 9
NESUG 1994 Using Macros as a Data Table Generation Tool Daphne E. Ewing 7
SESUG 1994 A PPLICA liONS DEVELOPMENT David S. Focht 8
SEUGI 1994 Data Management of Clinical Studies Magdolna Kiss source 6
SUGI 1994 A Macro to Associate Time-Oriented Data From Two Independent Sources David Arnold source 5
SUGI 1994 A Macro to Facilitate the Visualization of Individual Patient Efficacy and Safety During an Investigational (Phase III) Clinical Trial Marjorie Bell,
Marcella D. Stricklin		 source 5
NESUG 1993 An Overview of Methods Available For Obtaining Frequency Counts of Categorical Data Lawerence P. Specht 10
NESUG 1993 Optimization of Adverse Event Auto-Encoding Walter R. Young 5
NESUG 1993 Using Macros as a Data Table Generation Tool Daphne E. Ewing 9
NESUG 1993 Using SAS Macros to Generate Patient-Oriented Edit Listing from an Ingres Clinical Trials Database Varghese N. Kariakose,
James T. Crowe Jr.		 9
MWSUG 1993 An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way Judy L. Gilbert 5
MWSUG 1993 Using SAS to Create Statistical CANDA (SCANDA) Datasets Rocco L. Brunelle,
Debbie Romjue-Bailey,
Bill Huster,
Michelle McNabb,
Sharon Symanowski,
Ted Shaw,
Linda Bergin,
Kathy Koskowicz		 5
SEUGI 1993 The SAS System in Dental Clinical Trials Paul Jones source 10
SUGI 1993 Administering a Large, Long-Term Clinical Trial Requiring a Hierarchical Database Using the SAS System, Release 6.07 Mitchell Snyder,
Mark Goldberg,
Michal Benderly		 source 6
SUGI 1993 An Extraordinary Reporting System for the Pharmaceutical Industry - the Macro Way Judy L. Gilbert 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 1992 Design Features of a Clinical Information System Bernadette H. Johnson source 6
SUGI 1992 Optimal Clinical Data Structures for Use with SAS/PH-Clinical Software Sandra D. Schlotzhauer,
Andrew T. Fagan		 source 8
SUGI 1992 SAS Classes for Nonprogrammers in the Clinical Data Management World Susan V. Hale source 4
SUGI 1991 Job Submission Menu (JSM): A Programming Tool to Standardize Clinical Trial Summarization Iraj Mohebalian,
Mark Becker,
Lora H. Schwab		 source 5
SEUGI 1990 SAS Software at Boehringer Ingelheim Ltd. Andrew Lawton source 5
SUGI 1990 Using SAS/AF Software to Transport SAS Data Files from the VMS'"Environment to an IBM OS Environment Kathleen M. Freeman source 8
SEUGI 1989 PROC TABULATE, A Challenge Tove Kristoffersen source 12
SEUGI 1989 SAS/AF Software In Clinical Data Applications Mark Crawford source 26
SUGI 1988 Integration of ORACLE and the SAS System in the Generation of Adverse Experience Reports Chih-Wu Chang,
Edward F.C. Pun		 source 5

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