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quality control

310 papers and 25 presentations; 311 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 If a Warning Falls in a SAS Log and Nobody Reads It: Evaluating Generative AI as a First-Pass Reviewer for SAS Enterprise Guide Logs Patrick Leon source 16
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 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 Implementation of IPCW in Oncology Trials and Enhanced SAS Macro Tools Jiayi Chen,
Meiqing Huang		 source 13
PharmaSUG CN 2026 Leading Through Complexity: A Compound Lead Perspective on Planning, Coordination, and Quality Control Fuyuan Pang source 4
PharmaSUG CN 2026 R in study validation Liang Han source 7
PharmaSUG 2026 AI-First Leadership in Biometrics: Redefining Strategy, Teams and Execution in the Agentic AI Era Kevin Lee source 7
PharmaSUG 2026 AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation Lucas Liu,
Bo Ci		 source 5
PharmaSUG 2026 Automating Bioresearch Monitoring (BIMO) Listings Using R Weishan Song,
Wanting Jin,
Weiyu Zhou,
Margaret Huang		 source 15
PharmaSUG 2026 Bridging the Gap A Python-Word Integration for Detecting Ghost Page Breaks in SAS-Generated RTFs Jun Yang,
Robert T. Stemplinger		 source 8
PharmaSUG 2026 Efficiency in Action: Automating Bookmarking for CRFs and Other Regulatory Submission Documents Srivathsa Ravikiran,
Sri Raghunadh Kakani,
Yang Xu		 source 11
PharmaSUG 2026 From SAP to CSR: A Metadata-Driven TFL Workflow Bhavin Busa source 7
PHUSE US 2026 Advancing Precision Medicine and Regulatory Readiness: Data Harmonisation and Statistical Methods for Companion Diagnostics Bridging Studies Ummul Vara Qurratul Ain source
presentation source		 10
PHUSE US 2026 AI as Copilot: Empowering, Not Replacing, Clinical Statistical Programmers Bhavesh Patkar source
presentation source		 5
PHUSE US 2026 AI-Driven Quality Risk Management for Contract Manufacturing Oversight: An ML Approach Kiran Kumar Gande source
presentation source		 7
PHUSE US 2026 AI-Powered Multiple-Agent Pipeline for Automating ADaM Dataset Generation Bo Ci source
presentation source		 4
PHUSE US 2026 Beyond Box-Checking: Five Best Practices for Embedding QC in Modern SCEs Chris McSpiritt source
presentation source		 6
PHUSE US 2026 Data Cleaning and Gene Expression Visualisation in Haematological Conditions Nasreen Bano,
Ashwika Papasani		 source
poster source		 6
PHUSE US 2026 Digital Twins for Clinical Submissions: Simulating Regulatory Review Before Submission Heather Gorr,
Divya Kapoor		 source
presentation source		 9
PHUSE US 2026 From SAS to R for TLGs: A Case Study on Implementing an 'R-First, SAS-QC' Workflow for Time-to-Event Analysis Adler Moisés Fallas Rodríguez source
presentation source		 8
PHUSE US 2026 From System Exports to Standards: Will Standardisation of External Vendor Data Redefine Clinical Data Management/Analysis? Sai Sri Sravya Deevi source
presentation source		 5
PHUSE US 2026 Next Generation QC Workflow Optimisation: Current Practices and Future Directions from the Emerging Trends & Innovation Working Group Matthew Finnemeyer,
Caroline Phares		 source
presentation source		 13
PHUSE US 2026 Optimising Flexibility and Consistency in Statistical Programming for Platform Trials: Practical Approaches to Data Cut, SDTM, ADaM and TFL Setup Kelly Fang,
Zhen (Laura) Li		 source
poster source		 6
PHUSE US 2026 Optimising Global Team Dynamics in Statistical Programming Padma Kishan Korsapati source
presentation source		 5
PHUSE US 2026 Problem-First Agentic AI: Transforming Statistical Computing with Purposeful Automation Rajesh Hagalwadi source
presentation source		 8
PHUSE US 2026 Trends in eSub Evaluation Findings: A Twenty-Year Perspective on Data Traceability Lisa Kaye Brooks source
presentation source		 9
PHUSE US 2026 Utilizing AI for Automated Conversion of ADaM Specifications to R Code Alice Ehmann,
Kjersten Offenbecker		 source
presentation source		 9
PHUSE APAC 2026 From XPT to JSON for submissions: Are we ready for the change? Poorna Suresh,
Bill Qubeck		 source
presentation source		 20
PHUSE APAC 2026 RbQM: An Intersection of Cross-Functional Collaboration of Clinical, Analytics, Statistics and Technology Domains for Better Clinical Trial Governance Abhishek Ghosh source
presentation source		 10
PHUSE APAC 2026 Streamlining SEND Dataset Generation: Enhancing Efficiency and Quality with Shiny Dashboards Madhulika Mishra,
Michael Denieu		 source
presentation source		 10
PHUSE EU 2025 A Git-Driven Automated Workflow for Efficient ADaM and TFL Validation and Quality Control Documentation Xavier Chenede,
Paulin Charliquart		 source
presentation source		 8
PHUSE EU 2025 Automated QC Framework for Reliable ADNCA Dataset Generation with {admiral} Valentin Legras,
Lucy Aspridis		 source
presentation source		 4
PHUSE EU 2025 Collaborative Industry Open-Source Solutions for Clinical Trial Quality Management Björn Koneswarakantha,
Frederik Collin		 source
presentation source		 9
PHUSE EU 2025 Detecting Logical Errors in Clinical Programming by Applying ChatGPT Illia Skliar source
presentation source		 9
PHUSE EU 2025 From Mock to Output: Using Generative AI to Write SAS Code for Standards-Based TFLs Kala Shivali,
Bhuvana Venkatappa		 source
presentation source		 16
PHUSE EU 2025 Roadmap to an ODAC: The Journey to and Through an FDA Oncologic Drug Advisory Committee as a Study Lead Programmer Charles Wright source
poster source		 2
PHUSE EU 2025 Twice as Much Aint Twice as Good: Is Double Programming Really the Gold Standard We Think it Is? Vitali Gering source
presentation source		 6
SESUG 2025 Ensure complete raw data to SDTM mapping: a SAS macro approach for quality control Cally Davidson,
Eric Howard		 8
PharmaSUG 2025 Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables Anu Eldho source 7
PHUSE US 2025 A Guided User Experience for Automated Mapping Nathan Johnson source
presentation source		 9
PHUSE US 2025 Challenges of Genomic Data in Clinical Trials Hong Zheng,
Lingsong Yun		 source
presentation source		 8
PHUSE US 2025 Changes to the Job of a Statistical Programmer in the Pharmaceutical Industry James J. Kim source
presentation source		 8
PHUSE US 2025 Demystifying the Handling and Mapping of External Data to CDISC Standards in Clinical Trials Murali Kanakenahalli,
Vamsi Kandimalla		 source
presentation source		 12
PHUSE US 2025 Digital Health Technologies: Evolution, Insights and Future Directions [presentation] Vijay Pasapula source 28
PHUSE US 2025 Ensuring Data Integrity: A Three Step Approach to Clinical Dashboard Validation River Meckstroth source
presentation source		 7
PHUSE US 2025 Optimising Collaboration and Quality Control in Outsourced Statistical Programming Mukesh Patel,
Nilesh Patel		 source
presentation source		 7
PHUSE US 2025 Spot-It: A Shiny Application for Visual QC at Scale Samiar Ashtiany,
Pravin Lakkaraju		 source
presentation source		 13
PHUSE US 2025 Validated by Verisian: The Future of Quality Control and Validation in Clinical Trial Analyses Henning Kuich source
presentation source		 12
PHUSE EU 2024 A Guided User Experience for Automated Mapping Achilleas Zaras source
presentation source		 9
PHUSE EU 2024 SCE Alchemy: The Return of the QC Process, and Rise of Training via LLM Steve Griffiths,
Eleanor Sparling		 source
presentation source		 6
PHUSE EU 2024 Tailoring Git for SAS Projects: Overcoming Challenges, Achieving Excellence Rajwanur Rahman,
Spencer Renyard		 source
poster source		 4
PHUSE EU 2024 Transcriptomics - A Demanding Data Analysis that Expands the Limits of Regulated Clinical Data Handling Lea Yoshida Hildebrandt source
presentation source		 6
WUSS 2024 Identifying a Skilled Nursing Facility Associated COVID-19 Case in Surveillance Data Kathryn Doh,
Maggie G Tufts		 source 15
PharmaSUG CN 2024 A quick way of the quality control in statistical programming process using SAS Donghai Liu source 3
PharmaSUG CN 2024 Application of Exhaustive Method in Deriving Confirmed Best Overall Response Shang Shi source 9
PharmaSUG CN 2024 Programming Function Vendor Management in a Pharmaceutical Company David L. Wang,
Xingcan Yu		 source 4
PharmaSUG 2024 Advancing the Maturation of Standardized CRF Design Sugumaran Muthuraj,
Rubha Raghu		 source 9
PharmaSUG 2024 Oncology ADaM Datasets Creation Using R Programming: A Comprehensive Approach Ishwar Chouhan source 29
PharmaSUG 2024 Readlog Utility: Python based Log Tool and the First Step of a Comprehensive QC System Zhihao Luo source 20
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 Using R for QC of Tables Marcus Trincia source
poster source		 3
PHUSE EU 2023 Data Managers and R Programming: The Unlikely Pair Anaelle Perretti (Bonetta) source
presentation source		 9
PHUSE EU 2023 Mr. ight - Why R Should Be Used for Validating TLFs in Clinical Trials? Monika Ludwinska source
presentation source		 10
PHUSE EU 2023 Regulating the Future: Navigating the Complexities of 3D Printing in the Pharmaceutical Industry Burger Lubbe source
presentation source		 10
WUSS 2023 Quality Control - Defining an Acceptable Quality Standard without Achieving Perfection Bill Coar source 9
PharmaSUG 2023 Automation of Validation of QC Plan Entries and Managing SAS Programs Venkatesh Nemalipuri,
Ateet Shah		 source 8
PharmaSUG 2023 Traceability: Not just about Data Rohit Nagpal,
Kavitha Mullela		 source 11
PHUSE EU 2022 SanityCheckR: data quality control with R Shiny Diana L. Santos Ferreira source
poster source		 5
SAS Explore 2022 Real Time Quality Control in Manufacturing Using SAS [video] Paul Koot source
PharmaSUG 2022 Quality Control With External Code Bill Coar source 7
PHUSE US 2022 Pan-pharma Industry Collaboration - New Horizon, Success Stories [presentation] Tadeusz Lewandowski source
video		 21
PHUSE EU 2021 Standing Room Only: AR02: The Importance of Being Ernest - The Role of QTLs in QbD [presentation] Andrew Lawton source 19
PHUSE US 2021 A Well Design QC Toolkit for Clinical Programming Compliance Checking [presentation] Huei-Ling Chen,
Sandeep Meesala		 source
video		 30
PHUSE US 2021 Good Cooperation Between SAS and R for Regulatory Submission [presentation] Jingyuan Chen source
video		 19
PHUSE US 2021 Statistical Computing Environment White Paper Jorine Putter,
Mark Bynens		 source
pdf
video		 45
PharmaSUG 2021 -Who wrote this!?- Challenges of replacing Black Box software with more dynamic supportable processes utilizing Open-Source Languages Franklin E. Menius,
Dennis Sweitzer,
Terek Peterson,
Monali Khanna		 source 4
PHUSE EU 2020 How to Configure Automated Data Pipelines in a GxP Clinical Environment? [presentation] Guy R. Garrett source
video		 27
PHUSE EU 2020 Using Software Development Principles and Tools to Create an R Package for Data Analysis Optimisation [presentation] Emanuil Markov,
Svetomir Hitov		 source
video		 19
SGF 2020 From Santiago to the Spirit Lake Nation: 30 Things I Learned in 30 Years as a Statistical Consultant AnnMaria De Mars source 20
SGF 2020 Metrics and Medical Writing - We Don't Just Count Words Daniel Augusto Muriel Ramirez,
Dominic De Bellis		 source 12
SGF 2020 SAS Knows Good Manufacturing Practice Lois Wright source 11
PharmaSUG 2020 Clinical Database Metadata Quality Control: Two Approaches using SAS and Python Craig Chin,
Lawrence Madziwa		 source 16
PharmaSUG 2020 Improving the Quality of Define.xml: A Comprehensive Checklist Before Submission Ji Qi,
Yan Li,
Lixin Gao		 source 8
PharmaSUG 2020 Standard Analyses and Code Sharing Working Group Update Nancy Brucken,
Dante Di Tommaso,
Jane E. Marrer,
Mary Nilsson,
Jared Slain,
Hanming Tu		 source 5
PHUSE US 2020 R Shiny Applications Within Ophthalmology Julia Dedic source
presentation source		 8
PHUSE EU 2019 Quality Control and Validation - More Than Just PROC COMPARE Evgeny Starostin source
poster source		 7
MWSUG 2019 The Doctor Ordered a Prescription ... Not a Description: Driving Dynamic Data Governance Through Prescriptive Data Dictionaries That Automate Quality Control and Exception Reporting Troy Martin Hughes 20
WUSS 2019 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes source 35
PharmaSUG 2019 Do-It-Yourself CDISC! A Case Study of Westat's Successful Implementation of CDISC Standards on a Fixed Budget Richard M. Mitchell,
Rachel Brown,
Jennifer K. Fulton,
Stephen Black,
Marie Byrd Alexander		 source 6
PharmaSUG 2019 Tame Your SHARE with a Python and SAS Michael Stackhouse,
Terek J. Peterson		 source 6
PharmaSUG 2019 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes source 24
SGF 2019 Data Governance: Harder, Better, Faster, Stronger Vincent Rejany source 18
PHUSE US 2019 Tame Your SHARE with a Python and SAS Terek J. Peterson,
Michael Stackhouse		 source
poster source		 5
PHUSE EU 2018 Cost-Benefit Analysis of Using CDISC Standards in Trial Set-up Jasmine Kestemont source 9
PHUSE EU 2018 Crowdsourced ADaM Programming and Standardisation: A Design Study Holger Langkabel source
presentation source		 10
PHUSE EU 2018 SDTM Legacy Data Conversion Markus Stoll,
Angelo Tinazzi		 source
presentation source		 13
PHUSE EU 2018 Unique Technology for the Future Catharina Dahlbo,
Amanuel Workneh		 source
poster source		 6
SESUG 2018 Automation Methods: Using SAS to Write the Code for Repetitive Quality Control Checks Imelda C. Go source 5
SESUG 2018 Easily Updating Programs with the SAS Macro Language: an EDFacts Example Aaron Brown source 8
SESUG 2018 The Doctor Ordered a Prescription ... Not a Description: Driving Dynamic Data Governance Through Prescriptive Data Dictionaries That Automate Quality Control and Exception Reporting Troy Martin Hughes source 20
SESUG 2018 When Reliable Programs Fail: Designing for Timely, Efficient, Push-Button Recovery Troy Martin Hughes source 14
MWSUG 2018 From Readability to Responsible Risk Management: Facilitating the Automatic Identification and Aggregation of Software Technical Debt within an Organization Through Standardized Commenting in SAS Program Files and SAS Enterprise Guide Project Files Troy Martin Hughes 35
WUSS 2018 The Doctor Ordered a Prescription ... Not a Description: Driving Dynamic Data Governance Through Prescriptive Data Dictionaries That Automate Quality Control and Exception Reporting Troy Martin Hughes source 20
WUSS 2018 Using PROC MCMC in a Process Control Setting: An Illustrative Example with PROC IML Austin R. Brown source 8
PHUSE US 2018 Assuring Data Integrity and Data Quality in Sponsor Submissions Paul Schuette source
presentation source		 5
PHUSE US 2018 Cue the Word - QC - All You Need to Know! Subha Jamburajan,
Nancy Haeusser		 source
presentation source		 6
PHUSE US 2018 Don't Sweat It! Consider Taking the Risk Out of your Outsourced Deliverables Jennifer True,
Nancy Haeusser		 source
presentation source		 4
PharmaSUG 2018 Common Data Related Review Issues and Prevention: A Statistical Reviewer's Thoughts Huanyu Chen source 18
PharmaSUG 2018 Introducing Dynamic Data Quality Control Methods: Abstracting Data Validation through External Data Troy Martin Hughes source 20
PharmaSUG 2018 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 26
SGF 2018 Tools Designed to Aid in Quality Control of Administrative Data Research Projects Matthew Keller,
Katelin B. Nickel		 source 10
SESUG 2017 Pinching Off Your SAS Log: Adapting from Loquacious to Laconic Logs To Facilitate Near-Real Time Log Parsing, Performance Analysis, and Dynamic Data-Driven Design and Optimization Troy Martin Hughes source 25
SESUG 2017 Quality Control in SAS: Checking Input, Work, and Output Aaron Brown source 11
PHUSE EU 2017 Check Your Code! Control Your Data! Kristina Zweier source
presentation source		 16
PHUSE EU 2017 Experiences of Managing Quality Registry Data for Effective Exploration Catharina Dahlbo source
presentation source		 6
WUSS 2017 Open Source Platform Unveiled Karen Walker source 9
WUSS 2017 Pinching Off Your SAS Log: Shifting the Perception of "SAS Logs" from a Post Hoc Validation Used Haplessly and Often Too Late...to a Dynamic Quality Control That Drives Exception Handling and Program Flow Troy Martin Hughes source 26
PharmaSUG 2017 Data Monitoring Committee Report Programming: Considering a Risk-Based Approach to Quality Control Amber Randall,
Bill Coar		 source 9
SGF 2017 Quality Control Programming: A Lost Art? Amber Randall,
Bill Coar		 source 15
SGF 2017 SAS: A Unifying Tool That Manages Hospital and Research Pharmacy Data and Reporting Robert MacArthur,
Arman Altincatal		 source
pdf		 8
SESUG 2016 A Five-Step Quality Control Method: Checking for Unintended Changes to SAS Datasets Aaron Brown source 4
SESUG 2016 Spawning SAS Sleeper Cells and Calling Them into Action: Implementing Distributed Parallel Processing in the SAS University Edition Using Commodity Computing To Maximize Performance Troy Martin Hughes source 17
SESUG 2016 What Do You Mean My CSV Doesn't Match My SAS Dataset? Patricia Guldin source 10
PHUSE EU 2016 Efficiency and Delivery Driven by Metadata [presentation] Magnus Mengelbier source 15
WUSS 2016 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes source 23
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 Getting Clouds Moving across the Pacific - a case study on working with a Chinese CRO on SAS Drug Development Chen Shi source 4
SGF 2016 Lenovo Success Story: Early Detection of Pervasive Quality Issues through the Voice of Customer Analytics Murali Krishna Pagolu,
Rob Carscadden		 source 16
SGF 2016 When Reliable Programs Fail: Designing for Timely, Efficient, Push-Button Recovery Troy Martin Hughes source 14
MWSUG 2015 Ushering SAS Emergency Medicine into the 21st Century: Toward Exception Handling Objectives, Actions, Outcomes, and Comms Troy Martin Hughes 23
MWSUG 2015 When Reliable Programs Fail: Designing for Timely, Efficient, Push-Button Recovery Troy Martin Hughes 12
PHUSE EU 2015 Close operation between Developers and End-Users is Vital to Deployment of CDISC Standard Software Donald Benoot source
presentation source		 8
PHUSE EU 2015 Implementation of an in-house Data QC Tool to Streamline SDTM Production Data Karlien Knevels source
presentation source		 3
PHUSE EU 2015 The Vision of Clinical Data Science - Where will we be in 2025? [presentation] Sam Warden,
Chris Price		 source 17
SESUG 2015 Design of Experiments (DOE) Using JMP and SAS Charles E. Shipp source 4
WUSS 2015 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes source 15
PharmaSUG 2015 Lessons Learned from the QC Process in Outsourcing Model Faye Yeh source 5
PharmaSUG 2015 Steps Required to Achieve Operational Excellence (OpEx) Within Clinical Programming Opeyemi Ajoje source 8
PharmaSUG 2015 When Reliable Programs Fail: Designing for Timely, Efficient, Push-Button Recovery Troy Martin Hughes source 12
SGF 2015 Integrating Data and Business Rules with a Control Data Set in SAS Edmond Cheng source 11
SGF 2015 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes source 17
SGF 2015 Will You Smell Smoke When Your Data Is on Fire? The SAS Smoke Detector: A Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes source 25
SCSUG 2014 Design of Experiments (DOE) Using JMP Charles E. Shipp 4
SCSUG 2014 JMP Visual Statistics Charles E. Shipp 7
SESUG 2014 A Comprehensive Automated Data Management System For Clinical Trials Heather F. Eng,
Jason A. Lyons,
Theresa M. Sax		 source 12
SESUG 2014 Design of Experiments (DOE) Using JMP Charles E. Shipp 4
PHUSE EU 2014 Learnings and Evolutions of Risk Assessment Quality Control within Statistical Programming Group Timothy Barnett source
presentation source		 5
PHUSE EU 2014 The Quality System in Good Pharmacovigilance Practice (GVP) Veronique Chapalain source
presentation source		 9
MWSUG 2014 A Comprehensive Automated Data Management System For Clinical Trials Heather F. Eng,
Jason A. Lyons,
Theresa M. Sax		 12
MWSUG 2014 Design of Experiments (DOE) Using JMP Charles E. Shipp 4
MWSUG 2014 JMP Visual Statistics Charles E. Shipp 7
MWSUG 2014 Why Aren't Exception Handling Routines Routine? Toward Reliably Robust Code through Increased Quality Standards in Base SAS Troy Martin Hughes 14
MWSUG 2014 Will You Smell Smoke When Your Data Are on Fire? The SAS Smoke Detector: Installing a Scalable Quality Control Dashboard for Transactional and Persistent Data Troy Martin Hughes 25
WUSS 2014 JMP Visual Statistics Charles E. Shipp source 7
PharmaSUG 2014 Design of Experiments (DOE) Using JMP Charles E. Shipp source 4
PharmaSUG 2014 JMP Visual Analytics Charles E. Shipp source 7
PharmaSUG 2014 QC made easy using macros Prashanthi Selvakumar source 7
SGF 2014 Application of Survey Sampling for Quality Control Yi Du source 8
SGF 2014 Useful Tips When Deploying SAS Code in a Production Environment Elena Shtern source 6
WUSS 2013 Design of Experiments (DOE) Using JMP Charles E. Shipp source 4
WUSS 2013 JMP Visual Analytics Charles E. Shipp source 7
SESUG 2013 Not Enough Time To Catch Extreme Observations? Flag and Report with Macros and Arrays Jamelle Simmons source 11
PHUSE EU 2013 My First QlikView Application "CTI" [presentation] Anthony Caudard source 12
MWSUG 2013 Design of Experiments (DOE) Using JMP Charles E. Shipp 4
MWSUG 2013 JMP, and JMP Training: a Panel Discussion Charles E. Shipp 2
PharmaSUG 2013 Efficient Statistical Review Using the ExcelXP Tagset Bradford J. Danner source 5
NESUG 2012 Quality Assurance: Best Practices in Clinical SAS Programming Parag Shiralkar 8
PHUSE EU 2012 Bootstrap Analysis Double-Independent Programming: Issues and Solutions Nils Penard source
presentation source		 10
PHUSE EU 2012 Using Workflows to Standardize Business Processes and Best Practices in Pharmaceutical Programming Mark Lambrecht,
Julie A. Maddox		 source
presentation source		 7
PharmaSUG CN 2012 Rising to Excellence - How a China CRO Achieves International Standards [presentation] Helen Yin,
Minzhi Liu		 27
SGF 2012 Lean and Mean: Using Lean Six Sigma to Improve Your Analytic Processes Robbie Reynolds,
Rachel Alt-Simmons		 source 8
SESUG 2011 Business Intelligence and Analytics: Complements within a Decision Support Culture Alan R. Mann,
Albert Briggs,
Emile Barnes		 source 6
WUSS 2011 Managing Your Intellectual Property: Optimizing Your Investment of Resources by Building a Searchable SAS Program Repository Joe Perry source 3
NESUG 2011 Authoring Quality Process Documents for Clinical Trial Programmers Jane E. Marrer 13
NESUG 2011 Don't Lose Your Data! Tracking and Reporting on Dropped Records Quentin McMullen,
Joshua Black		 9
PharmaSUG 2011 Validating define.xml: Tools, trials, and tribulations Sandra VanPelt Nguyen source 5
SGF 2011 Hands Free Data Transfer Using SAS Teo Gamishev source 5
SGF 2011 How to Drive Your SAS Programs on Cruise Control Teo Gamishev source 6
SGF 2011 In Control of Your Data Warehouse Processes With the Help of SAS Stored Processes and the SAS Information Delivery Portal Ralf Vaessen,
Danny Pannemans,
Juan M. Quesada,
Koen Vyverman		 source 24
SGF 2011 Traffic Lighting Your Reports the Easy Way with the SAS Output Delivery System and PROC REPORT Andrew H. Karp source 12
PHUSE EU 2010 How to improve quality control in a data conversion process? By extended usage of metadata! Dimitri Kutsenko source
presentation source		 4
PHUSE EU 2010 Traceability between SDTM and ADaM converted analysis datasets Florence Somers,
Michael Knoessl		 source
presentation source		 7
PharmaSUG 2010 Importing Data from RTF Output into SAS utilizing Microsoft Access/Word in an intriguing, efficient way Ajay Gupta 8
SGF 2010 Quality Outcomes and SAS: Structuring, Managing, and Working in Programming Groups Based in SAS Joe Perry source 7
SGF 2010 Using PROC CONTENTS Output to Perform Quality Control Checks on SDTM Data Sets Jennifer M. Srivastava source 6
WUSS 2009 Quality Outcomes and SAS: Structuring, Managing and Working in SAS-Based Programming Groups Joe Perry source 9
WUSS 2009 Simple but Effective SAS-based Automation Techniques to Combine SAS Data Libraries Joe Perry source 9
PharmaSUG 2009 Using CDISC Lab Terminology and Determining Standard Units Matthew Davis 7
SGF 2009 Beyond SAS/Genetics Amina Barhdadi,
Yassamin Feroz Zada,
Marie-Pierre Dube		 source 10
SGF 2009 Traffic-Lighting Your Reports the Easy Way with ODS and PROC REPORT Andrew H. Karp source 12
PHUSE EU 2008 Efficiency Issues in Evaluating Pharmacogenetic Data With SAS Volker Harm,
Stephan Lehr		 source 10
NESUG 2008 Analyzing Laboratory Assay Data for Accuracy Sara Hickson,
Jeanne Sparrow		 13
PharmaSUG 2008 Detecting Incorrect P-values John Morrill 5
PharmaSUG 2008 Quality Oversight Measured By Complexity Hui-Ping Chen,
Mark Matthews		 4
PharmaSUG 2008 Working experience for the filing resubmission from supporting Statistical Programming Analysis (SPA) perspective Minh V Truong 3
SGF 2008 The Evolution of SAS in Life Sciences Research and Development David Handelsman source 10
WUSS 2007 A Scattered Approach to Quality Control Christina Schmunk,
Komal Sunak		 source 10
PharmaSUG 2007 The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets Marcus Bloom,
David Edwards		 15
SGF 2007 Better SAS Programming through Version Control Tim P. Williams source 14
PHUSE EU 2006 The Submission Data File System Automating the Creation of CDISC SDTM and ADaM Datasets David Edwards,
Marcus Bloom		 source 6
SESUG 2006 The Design and Use of Metadata: Part Fine Art, Part Black Art Frank C. DiIorio,
Jeffrey M. Abolafia		 source 20
NESUG 2006 Combining, Combining, Combining, Splitting, Splitting, Splitting Emmy V Pahmer 9
NESUG 2006 Using SAS to improve the quantification of environmental chemistry samples Charles Dow,
Anthony Aufdenkampe		 8
PharmaSUG 2006 SAS Drug Development: Bringing Innovation to Life Sciences David Handelsman 12
PharmaSUG 2006 The Design and Use of Metadata: Part Fine Art, Part Black Art Frank C. DiIorio,
Jeffrey M. Abolafia		 20
SUGI 2006 SAS Applications Introduced into China Customs Bin Fang source 6
SUGI 2006 Save Those Eyes: A Quality-Control Utility for Checking RTF Output Immediately and Accurately Michael Hagendoorn,
Jonathan M. Squire,
Johnny Tai		 source 10
SUGI 2006 The Design and Use of Metadata: Part Fine Art, Part Black Art Frank C. DiIorio,
Jeffrey M. Abolafia		 source 17
SUGI 2006 Version Control on the Cheap. A User-Friendly, Cost-Effective Revision Control System for SAS Tim P. Williams source 10
PHUSE EU 2005 Best Practices for Managing Clinical Research Information David Handelsman source 16
NESUG 2005 A SAS Programmer's Guide to Project - and Program-Level Quality Control Paul Gorrell 15
PharmaSUG 2004 So You Want To Write A PharmaSUG Paper? That Paper About Writing A Paper Dianne Louise Rhodes 7
PharmaSUG 2004 Version Control on the Cheap. A User-Friendly, Cost-Effective Revision Control System for SAS Tim P. Williams 11
SUGI 2004 Designing Validation and Verification Activities as a Staff Development Tool John Gorden source 8
SUGI 2004 Programming Standards, Style Sheets, and Peer Reviews: A Practical Guide Dianne Louise Rhodes source 7
SUGI 2004 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown source 7
SUGI 2004 So You Want to Write a SUGI Paper? That Paper about Writing a Paper Dianne Louise Rhodes source 8
SESUG 2003 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown source 6
NESUG 2003 Quality Control With SAS Numeric Data Paul Gorrell 11
NESUG 2003 Run All Your SAS Programs in One Program: Automatically Ling Y. Chen,
Steven Gilbert		 4
NESUG 2003 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown 6
NESUG 2003 So You Want to Write a NESUG paper? That Paper about Writing a Paper Dianne Louise Rhodes 6
SEUGI 2003 Data Modelling in SAS - How SAS is Used for Research and Teaching to Enable Students to Become More Marketable [presentation] Iveta Stankovicova source 30
SEUGI 2003 The changing role of Business Intelligence and the effect of Packaged Analytical Applications [presentation] Hubert Wentzel source 27
PharmaSUG 2003 Error Checking and Version Control of SAS Programs Christopher Kania 4
SUGI 2003 Programming Standards, Style Sheets, and Peer Reviews: A Practical Guide Dianne Louise Rhodes source 5
NESUG 2002 Efficiency and Quality Control in the Preparation of a Preparing Statistical Review Aid in FDA e-Submissions James Wu,
Frederick A. Cieri,
Amy Gillespie		 4
NESUG 2002 Quality Control As Data Analysis Paul Gorrell 7
SESUG 2002 The Value of SAS in Manufacturing Eric C. Brinsfield source 4
PharmaSUG 2002 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta 10
SUGI 2002 Developing and Maintaining a Tips Database: A Practical Approach to Programming Standards, Style Sheets and Peer Reviews Dianne Louise Rhodes source 5
SUGI 2002 Run All Your SAS Programs in One Program: Automatically Lingyun Chen,
Steven A. Gilbert		 source 2
VIEWS 2001 Software Validation in Clinical Trial Reporting: Experiences from the Biostatistics & Data Sciences Department Andrea Baker presentation 5
WUSS 2001 Scalable Methods for the Quality Control of Patient Data Michael J. Yee source 6
SEUGI 2001 Software Validation in Clinical Trial Reporting: Experiences from the Biostatistical & Data Sciences Department [presentation] Andrea Baker source 25
SUGI 2001 Preparing the SAS Software Programming Environment for Regulatory Submission Sunil Kumar Gupta source 9
SUGI 2001 Statistical Quality Control and a Capability Analysis Paul W. Johnson,
Ling Huang		 source 5
SESUG 2000 SAS Macros Are the Cure for Quality Control Pains Implementing A Macro Driven Evaluation of Survey Data for Quality Control Gary M. McQuown source 7
NESUG 2000 Data Quality Control in Multi-State, Multi-year, Multi-type Databases: A Method for Examining Year-to-Year Percentage Changes Li wan Chen 8
NESUG 2000 Programming Data Displays Using SAS Software: Meeting Regulatory Requirements for Quality Michael A. Walega 11
NESUG 2000 SAS Macros are the Cure for Quality Control Pains Gary M. McQuown 6
SEUGI 2000 Building an Integrated Clinical Trial Data Management System With SAS Using OLE Automation and ODBC Technology [presentation] Alexandre Peregoudov source 9
SEUGI 2000 How to get a CEO behind a PC-Screen!! [presentation] Berry van der Schans source 23
SEUGI 2000 Introduction to AppDev Studio Software [presentation] Olivier Zaech source 47
SEUGI 2000 Med-Dial - Towards a dialogue with physicians by giving information on their drug prescription behavior via the internet [presentation] Ludwig Cluyse source 33
SEUGI 1999 The Bridge between ERP and Business Intelligence - illustrated by example of SAP Retail and SAS [presentation] Frank-Stefan Rock source 29
SEUGI 1999 The good, the bad, and the quality [presentation] Chris Henricx,
Dirk Waegemans,
Ignace Follet		 source 21
SUGI 1999 Interviewing and Assessing SAS Programmers Neil H. Howard source 6
SUGI 1999 Realizing Baosteel's Technology &Quality Data Warehouse Based on SAS Zhang Yaochun source 4
SUGI 1999 Three Methods to Produce Descriptive Statistics and Histogram Using SAS Bing Deng source 4
SUGI 1999 Uncorking SAS/AF Bottlenecks with the SCL Dynamic Performance Analyzer Jeffrey L. Lessenberry source 5
MWSUG 1998 A Project Tracking and Analysis Application for Bioequivalence Trials A. David Mundt 4
NESUG 1998 Knowledge Discovery: The Seven New Multivariate Identification Model Tools Nicholas Skovran 5
NESUG 1998 Tips and Techniques For Moving Between Operating Environments J. Meimei Ma,
Sandra D. Schlotzhauer		 10
SESUG 1998 Designing Accessible Help Systems Cathy L. Brinsfield 5
SEUGI 1998 Data warehousing to support commercial reorganisation [presentation] Eddy Volcher,
Philippe Colpin		 source 46
SEUGI 1998 Forecasting Software - A sales planning tool for the Marketing Department [presentation] Christophe Bonnart source 11
SUGI 1998 Tips and Techniques For Moving Between Operating Environments J. Meimei Ma,
Sandra D. Schlotzhauer		 source 10
NESUG 1997 Missing Value Imputation Methods for Large Databases Leonardo Auslender 8
SEUGI 1997 An intranet approach to generating, distributing and managing metadata using SAS software Kristien Smets,
Tom Tollenaere		 source 10
SEUGI 1997 Data warehousing and reporting through the Internet/intranet in a transport company using SAS software Michael Jensen,
Ralph Eriksen		 source 8
SEUGI 1997 ROI in DW: a fast return on investment in data warehousing Jim Davis,
Thomas J. R. Emmerich		 source 42
SEUGI 1997 SASSEE - A Software Engineering Environment for SAS Application Development Martin Studemund,
Rainer Uhl,
Robert N. Lemke-Noe,
Wolf-Dieter Batz		 source 22
SEUGI 1997 SPC system in steel works and control of the implemented SPC Cinzia Amandonico,
Franca Vicino,
Stefano Conedera		 source 4
SEUGI 1997 Understanding and enforcing standards to promote efficiency Meimei Ma,
Sandra D. Schlotzhauer		 source 9
SUGI 1997 Effective Applications of Control Charts Using SAS Software Robert N. Rodriguez,
Sharad S. Prabhu		 source 145
NESUG 1996 Using the SAS System for Continuous Quality Improvement Melissa A. Durfee 10
MWSUG 1996 Taguchi Methods in Experimental Design Ting James Kong 10
WUSS 1996 Designing and Implementing SAS Programming Standards: Examples and Suggestions Miriam G. Cisternas,
Marcia Stoddard		 source 5
SEUGI 1996 Building a metric information system to monitor UNIX, Bull and MVS systems [presentation] UNKNOWN source 33
SEUGI 1996 PADRES: a system supporting the user friendly access and analysis of pharma Chemical Production Data B. Rutishauser,
H.W. Schrader,
Th. Graf		 source 44
SEUGI 1996 Quality control in a public company in Denmark Per Andersen source 10
SEUGI 1996 The SAS System in the Heterogeneous Systems Environment of an Industrial Company Mattias Wolff source 44
NESUG 1995 Managing Large Databases With Customized SAS Windows Ronald W. Matheny 10
NESUG 1995 Training in a World of Cost-Cutting and Downsizing Charles E. Shipp,
Kirk Paul Lafler		 6
SESUG 1995 Training in a World of Cost-Cutting and Downsizing Charles E. Shipp,
Laser Prints Plus		 6
SESUG 1995 Using SAS to Auto-code Occupation and Industry Fields Gail Wisan 6
SEUGI 1995 SAS is an Effective Tool to keep Control over Production in the Process Industry John Jessesand source 3
SUGI 1995 Training in a World of Cost-Cutting and Downsizing Charles E. Shipp,
Kirk Paul Lafler		 source 6
NESUG 1994 Assignin a I/O Value to a Variable through Comparisons Charles A. DePascale 1
SESUG 1994 Using SCL For Quality Control During Data Entry Philip J. d'Almada 7
SEUGI 1994 The SAS System for Information Delivery Bou Maurits source 8
SUGI 1994 Constructing Multivariate Control Charts with SAS Software Melissa A. Durfee source 9
SUGI 1994 Environmental Monitoring Data Entry and Data Quality Application Pamela Y. Goldberg source 6
SUGI 1994 Surveillance of Foetal Alcohol Syndrome(FAS) using SAS/FSP and SAS/AF Software with SCL Philip J. d'Almada,
Valborg Kvigne,
Michele D. Strachan		 source 5
SUGI 1994 TQT - Total Quality Training David E. Beam source 6
NESUG 1993 Constructing Multivariate Control Charts is SAS Melissa A. Durfee 9
SCSUG 1993 A SAS/GRAPH Application in Support of Quality Improvement D. Mark Carpenter,
Cecil R. Hallum		 2
SEUGI 1993 An Executive Information System for General Hospitals Sabine Beullens source 7
SEUGI 1993 Morphological Analysis Applied to Quality Marie-Francois Doutre source 11
SEUGI 1993 Quality and Security of Clinical Data under the SAS System Ketil Eidsaunet source 5
SEUGI 1993 Trends in EIS Burhard Lehmann source 10
SUGI 1993 A Menu System Featuring SAS/QC Software for Monitoring Alpha Detector Performance Delano M. Splett source 3
SUGI 1993 Integrating Decision Support Jo Fisher,
Marco Mongalo		 source 5
SCSUG 1992 Graphical Analysis of Clinical Canceer Data Using SAS Macros and SAS/GRAPH Karen L. Knorr,
David G. Mascorro,
Greg S. Shaw,
Susan G. Hilsenbeck,
John J. Hough,
Gary M. Clark		 10
SCSUG 1992 Mining For SAS Gold? Tom Mannigel 4
SEUGI 1992 Using the SAS System as an Executive Information System Claudia Cavedon source 5
SUGI 1992 Essential SAS Software for Engineers William D. Kahn,
Diccon R. E. Bancroft		 source 10
SEUGI 1991 Current Status of the SAS System in the Soviet Union Harry Bush source 7
SEUGI 1991 New SAS/QC Tools for Quality Improvement Reinhold Koch source 10
SEUGI 1991 Using the SAS System as an Executive Information System Claudia Cavedon source 5
SUGI 1991 Using SAS/GRAPH Software to Produce High-Resolution Color Images for Publication Craig Sampson,
Woody Middleton		 source 3
SUGI 1990 A Hierarchical Database Engine for Version 6 of the SAS' System Barbara A. Barrett source 6
SUGI 1990 Andrews Function Control Chart for Bivariate Quality Control Meng-Koon Chua,
Mark Reiser		 source 5
SUGI 1990 Using the SAS System to Analyze Quality Control Data from Data-Collection Devices Julie A. Maddox,
Donna O. Fulenwider		 source 9
SEUGI 1989 An Introduction To Statistical Quality Control Using The SAS System Randy Topp,
Tasha Kostantacos		 source 4
SEUGI 1989 Statistical Quality Methods For The European Industry (Invited Paper) Tony Bendell source 4
SUGI 1989 Assessing Capability of a Bivariate Process with Emphasis on Hole Location Douglas L. Berg,
Melinda J. DeCoste,
Robert Nagel		 source 4
SUGI 1989 Auditing the Premium Entry Function: A SAS System Case Study Andrew P. Ragnes source 2
SUGI 1989 Data Quality Control Reporting in a Multisite Clinical Trial Dana Le Tendre,
Michael S. Shing		 source 3
SUGI 1989 Estimating the Minimum Total Error-Squares Weight Parameter for the Geometric Moving Average Melvin T. Alexander,
Christine Macklin		 source 6
SUGI 1989 Improving the Quality of Survey Data: WESTAT's Computer Assisted Coding and Editing (CACE) System David L. Bayless,
James E. Smith		 source 4
SUGI 1989 New Directions in SAS/QC Software Paul Bachteal,
Robert N. Rodriguez		 source
SUGI 1989 Structured Test Design for Data Quality Control Randy Whitfield source 3
SUGI 1989 Using the SAS System for Error Identification and Resolution in Large and Complex Data Structures Herbert C. Reynolds,
Donald P. Trees		 source 6
SUGI 1988 Gaining a Competitive Advantage in Business Using SAS/QC Software Matt D. Leet,
Rodney L. Reish		 source 3
SEUGI 1987 A General Application for the Optimisation of Data Analysis Gerhard Hugues source 5
SEUGI 1986 An Introduction to SAS/QC Software Gerhard Held source 11
SUGI 1986 A SAS Macro Which Computes Upper Confidence Limits of the Number of Defective Units in a Lot Melvin T. Alexander source 4
SUGI 1986 An Introduction to SAS/QC Software Robert N. Rodriguez source 11
SUGI 1986 SAS Program Generator for Statistical Quality Control Chris Potter source 6
SUGI 1986 What's New? SAS, Institute Training in 1986 Herbert J. Kirk source 5
SUGI 1985 A Generic Data Entry Quality Assurance Tool Paul Kanciruk,
Aaron E. Rosen		 source 3
SUGI 1985 A Quality Assurance System for Manufacturing Applications using Base SAS Software on a Minicomputer Sandra Heard,
Judith H. Mopsik		 source 8
SUGI 1985 Cumulative Sum (CUSUM) Control Schemes J.M. Lucas source 6
SUGI 1985 Maintaining Quality Control over Input Data with SAS Software R.A. Whitfield source 3
SUGI 1985 The Current and Potential Role of the SAS System in Industrial Applications James F. Sattler,
Joshua Sharlin		 source 12
SUGI 1984 Development of a Multi-Disciplined Environmental Data Base Management System James R. Johnson,
Marji J. Randall		 source 6
SUGI 1983 Interactive Control Charts using SAS82 David C. Schlotzhauer source
SUGI 1982 Environmetrics of Synfuels: IV. Project Results Tracking System (PRIS) Karen L. Daniels,
Jonathan C. Goyert,
Rodney H. Strand,
Michael P. Farrell		 source 9
SUGI 1981 Control Charts with SAS and TSO Dale F. Kraemer,
Judy A. Stober		 source 6
SUGI 1981 Data Management Problems with a Large Medical Survey Henry A. Anderson,
Wm. Ford Calhoun,
Douglas Dorph,
James Holt		 source
SUGI 1980 Quality Assurance Controls in Research Data Base Management: Nonsense Codes in Hierarchical File Structures Steven P. Cobb,
Karen L. Daniels,
Michael P. Farrell,
A. Dale Magoun,
C. H. Pennington,
Harold Schramm,
Rodney H. Strand		 source 5
SUGI 1979 Management of Evolving Ecological Data Sets with SAS: An Open-ended Management Approach Karen L. Daniels,
Michael P. Farrell,
A. Dale Magoun		 source 8
SUGI.ONE 1976 Data Management for Environmental Research Rodney H. Strand source 18

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