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119 papers and 8 presentations; 117 titles.

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Conference × Year × Title × Authors Extras Pages
PharmaSUG CN 2026 A Standardized Programming Framework for Daily Dose Dataset Construction from Multi-Source Clinical Data Xianjun Li,
Chengye Lu		 source 10
PharmaSUG 2026 Advanced SAS Graph Template Language (GTL) with Practical Examples from Oncology Trials Ceng Qian,
Xu Wen,
Wei Lei,
Ling Han		 source 15
PHUSE US 2026 Data Harmonisation for ISS and ISE: A Practical Checklist for Integration Success Qiong Wei,
Lily Cheng		 source
presentation source		 10
PHUSE US 2026 Democratising SDTM Transformations: AI-Assisted Function Development with Business-Driven Governance Ulf Nielsen,
Rostislav Markov		 source
presentation source		 11
PHUSE APAC 2026 SAS to R: Opportunities and Challenges in SDTM and ADaM Transformation Jalendhar Ettedi,
Padmashree Jahagirdar		 source
presentation source		 5
PHUSE EU 2025 Using Visual Dashboards to Improve Data Accuracy Daniel Smith source
poster source		 8
MWSUG 2024 Harnessing the Power of PROC CONTENTS and SELECT INTO: SEPARATED BY [presentation] Yanfang Pang source 17
PHUSE EU 2024 Mastering Pinnacle 21 for Oncology SDTM Daryna Khololovych source
presentation source		 7
PharmaSUG CN 2024 A Story-telling Patient Profile One-page Graph Using GTL Huizheng Yang,
Qili Fei		 source 14
PharmaSUG CN 2024 Programming Activities of Conducting Data Masking in Open-Label Study Xinyun Gao source 6
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 Enhanced Spider Plot in Oncology Ilya Krivelevich,
Cixin He,
Binbin Zhang-Wiener,
Wenyin Lin		 source 14
PharmaSUG 2024 Exploit the Window of Opportunity: Exploring the Use of Analysis Windowing Variables Richann J. Watson,
Elizabeth Dennis,
Karl Miller		 source 4
PharmaSUG 2024 Standardization of the Patient Narrative Using a Metadata-driven Approach Kuldeep Sen source 8
PHUSE US 2024 Beyond Outliers: Unsupervised Anomaly Detection in Clinical Trial Data Helena Yaben,
Kian Norouzi		 source
presentation source		 9
PHUSE US 2024 From stowaway to admiral, a R-iveting tale of a hierarchical composite endpoint's journey from idea to dataset Nicole Major,
Otto Magnusson		 source
presentation source		 16
PHUSE US 2024 USUBJID Challenges: Representing Multiple Participations for Analysis and Reporting Emily Bernstein-Hanlon,
Sirisha Davuluri		 source
presentation source		 9
PharmaSUG 2023 ADaM Datasets with Multiple Participations per Subject Grace Fawcett,
Sandra Minjoe,
Elizabeth Dennis		 source 7
PHUSE US 2023 Friends Don't Let Friends Make Ugly Dashboards [presentation] Marcia Powers,
Deidre Kreifels		 source
video		 14
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
PHUSE US 2021 COVID-19 Presentation: CO01: Harnessing the Power of Shiny to Visualize Missing Data due to the COVID-19 Pandemic [presentation] Mark Rothe,
Sangeeta Bhattacharya		 source 13
PHUSE US 2021 Protocols on FHIR - Exchanging Study Designs with EHR Systems [presentation] Andy Richardson,
Geoffrey Low		 source
video		 24
PharmaSUG 2021 CDISC ADaM Phases, Periods, and Subperiods: A Case Study Jennifer K. Fulton source 9
PharmaSUG 2020 Programming Technique for Line Plots with Superimposed Data Points Chandana Sudini,
Bindya Vaswani		 source 7
PHUSE US 2020 Validation Consistency and Conformance Checking of SEND Datasets Isaac Mativo,
Mohit Matthew		 source
presentation source		 6
PharmaSUG 2019 Dataset Specifications: Recipes for Efficiency and Quality David A. Scocca source 7
PharmaSUG 2019 De-Identification of Data & It's Techniques Shabbir Bookseller source 7
PharmaSUG 2019 How to Build a Complicated Patient Profile Graph by Using Graph Template Language: Turn Mystery to a LEGO Game Ruohan Wang,
Chris Qin		 source 24
PharmaSUG 2019 Pharmacokinetic Parameters for Sparse and Intensive Sampling - Nonclinical and Clinical Studies Shallabh Mehta source 5
PHUSE US 2019 CDISC Doesn't Tell You What to Collect But Regulators Do! Diane Wold source
presentation source		 4
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 Managing Privacy Risk in Data & Documents Sharing - Lessons Learned Balancing Progress & Perfection [presentation] Julie Holtzople,
Stephen Baker		 source 29
PHUSE US 2019 Optimizing Over Time Plots Via Analytics Kishore Pothuri,
Mayank Choudhary		 source
poster source		 5
PHUSE US 2019 Visualizing Oncology Data Through Interactive Dashboards Vikram Chanduri,
Bhavin Busa		 source
presentation source		 5
SCSUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach source 15
PHUSE EU 2018 First Aid Kit for an Observational Study Yuliia Bahatska,
Vladlen Ivanushkin		 source
poster source		 4
SESUG 2018 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels John R. Gerlach,
Keith J. Brown		 source 15
PHUSE US 2018 Transforming Clinical Trials with Linked Data Tim P. Williams,
Armando Oliva		 source
presentation source		 9
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 Patient-Level Longitudinal Analysis Plots Showing Adverse Event Timelines and Dose Titration Levels Keith J. Brown,
John R. Gerlach		 source 15
SESUG 2017 An Introduction to Visit Window Challenges and Solutions Mai Ngo source 6
PHUSE EU 2017 Intervention ML: Mapping of Meal data Rahul Loharkar source
presentation source		 8
PHUSE EU 2017 Managing Study Workflow Using the Resource Description Framework (RDF) Armando Oliva source 7
PHUSE EU 2017 The Impact of Regulations on Immuno-OncologySubmissions Geoffrey A. Mann source
presentation source		 8
PharmaSUG 2017 Deriving Rows in CDISC ADaM BDS Datasets Sandra Minjoe source 12
PharmaSUG 2017 Good versus better SDTM: Including Screen Failure Data in the Study SDTM? Henry B. Winsor,
Mario Widel		 source 9
PharmaSUG 2017 Harmonizing CDISC Data Standards across Companies: A Practical Overview with Examples Keith Shusterman,
Prathima Surabhi,
Binoy Varghese		 source 6
PharmaSUG 2017 Overview and Application of the HCV Vertical Resistance Analysis Template Yan Xie source 5
SGF 2017 Deriving Rows in CDISC ADaM BDS Data Sets Using SAS DATA Step Programming Sandra Minjoe source 17
SESUG 2016 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2016 Developing Better Training Guides Alastair Scarlett source 8
PHUSE EU 2016 Device Domains: Examples of their Use in Clinical Trials Oksana Voevutska source
presentation source		 12
PharmaSUG 2016 Good versus Better SDTM: Data Listings Mario Widel,
Henry B. Winsor		 source 11
PharmaSUG 2016 Programming Support for Exposure-Response Analysis in Oncology Drug Development Peter Lu,
Hong Yan		 source 8
PharmaSUG 2016 The Standard for the Exchange of Nonclinical Data (SEND): History, Basics, and Comparisons with Clinical Data Fred Wood source 10
PHUSE EU 2015 Study Anonymisation: From Request to Delivery Kelly Mewes,
Sai Jandhyala		 source
presentation source		 11
PharmaSUG 2015 Have a Complicated Graph? Annotate Can be Great! Scott Burroughs source 6
SESUG 2014 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2014 A Day in the Life of a Data Sharing Specialist [presentation] Kelly Mewes source 29
PHUSE EU 2014 Drug Exposure Plot: Tailored Approach to Display Ongoing Data Mathias Lebreton source
presentation source		 12
PharmaSUG 2014 A SAS Macro to address PK timing variables issues Timothy J. Harrington source 14
PharmaSUG 2014 Adopted Changes for SDTMIG v3.1.3 and 2013 OpenCDISC Upgrades Yi Liu,
Stephen Read		 source 17
PharmaSUG 2014 Hands-On ADaM ADAE Development Sandra Minjoe,
Kimberly Minkalis		 source 7
PharmaSUG 2014 Techniques of Preparing Datasets for Visualizing Clinical Adverse Events Amos Shu,
Qinghua (Kathy) Chen		 source 8
SGF 2014 Programmatic Challenges of Dose Tapering Using SAS Iuliana Barbalau,
Chen Shi,
Yang Yang		 source 9
WUSS 2013 Creating Graphical Patient Profiles Using SAS William Garner source 12
PHUSE EU 2013 Standardising the Standards - The Benefits of Consistency Nathan James source
presentation source		 6
PharmaSUG 2013 ADaM Datasets for Graphs Kevin Lee,
Chris Holland		 source 15
SGF 2013 Developing Your SDTM Programming Toolkit David A. Scocca source 10
SCSUG 2012 POSTER: ADaM Implications of the CDER Data Standards Common Issues Document Sandra Minjoe source 6
PHUSE EU 2012 JMP Clinical 4.0 [presentation] Valérie Nedbal source 45
SESUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach source 11
SESUG 2012 A three-piece suite to address the worth and girth of expanding a data set Daniel Wojdyla source 5
SESUG 2012 The SDTM Programming Toolkit David A. Scocca source 10
MWSUG 2012 Programmed Assisted Patient Narratives (PANs) with New SAS ODS and Graphical Approaches Faye Yeh,
Melvin S. Munsaka		 12
PharmaSUG 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
PharmaSUG 2012 ADaM Implications from the "CDER Data Standards Common Issues" and SDTM Amendment 1 Documents Sandra Minjoe source 6
PharmaSUG 2012 Supplementing Programmed Assisted Patient Narratives (PANs) with Graphs Using SAS Faye Yeh,
Melvin S. Munsaka		 source 12
SGF 2012 A Standard SAS Program for Corroborating OpenCDISC Error Messages John R. Gerlach,
Ganesh Sankaran Thangavel		 source 12
MWSUG 2011 Driving Clinical Safety Reviews with Data Standards Geoffrey A. Mann 7
PharmaSUG 2011 Confessions of a Clinical Programmer: Dragging and Dropping Means Never Having to Say You're Sorry When Creating SDTM Domains Janet E. Stuelpner,
Jack Shostak		 source 12
PharmaSUG 2011 Keeping Patients on Schedule, The Art of Visit Windows and Cycle Slotting Paul K. Slagle source 4
SGF 2011 Driving Clinical Safety Reviews with Data Standards Geoffrey A. Mann source 7
WUSS 2010 Clinical Graphs using ODS Graphics Sanjay N. Matange source 25
PHUSE EU 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach,
John Bowen		 source
presentation source		 8
PharmaSUG 2010 Facilitating Data Integration for Regulatory Submissions John R. Gerlach 9
PharmaSUG 2010 Multidimensional Data Visualization for Generating Patient Profile Rajavel Ganesan,
Suhas R. Sanjee,
Jason Clark		 4
SGF 2010 SAS One-liners Stephen Hunt source 6
PHUSE EU 2009 Implementation of ADaM standards NOT driven by a submission Karin Fleischer source
presentation source		 7
PHUSE EU 2009 SDTM Validation: How can we do it right? Peter Van Reusel source
presentation source		 8
PHUSE EU 2009 Simple Safety Monitoring with Signal Detection [presentation] Magnus Mengelbier source 22
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
SGF 2009 PROC SQL and SAS Macro: Beyond the Basics Louie Huang source 8
WUSS 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky source 15
MWSUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
PNWSUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
NESUG 2008 A Sampler of What's New in Base SAS 9.2 Jason Secosky 15
PharmaSUG 2008 Single Page Graphical Display of Multiple Subjects' Time Pattern on Studies Louie Huang 9
NESUG 2007 Relationships Between CDISC Variables Concerning Day and Date (CDISC Variable Relationships Part 2 of 3) Susan Fehrer,
Russell M. Lavery		 10
NESUG 2007 Relationships Between CDISC Variables Linking Domains (relrec) (CDISC Variable Relationships Part 3 of 3) Susan Fehrer,
Russell M. Lavery		 12
WUSS 2007 Auto-Attributes: No More Typing of Variable Labels (and Other Attributes) Jonathan M. Squire,
Johnny Tai		 source 7
PHUSE EU 2007 DQC checker Ryan Finch source 7
PHUSE EU 2007 Relationships between CDISC variables concerning day and date Susan Fehrer,
Russell M. Lavery		 source 10
PHUSE EU 2007 Relationships between CDISC variables linking domains (relrec) Susan Fehrer,
Russell M. Lavery		 source 12
PharmaSUG 2007 Coding for Efficient Presentations: The Case of Trend Tests Karen M. Schlangen 11
PharmaSUG 2007 The Creation of Time Deviations Karen Easterling 5
SESUG 2006 A Relational Understanding of SDTM Tables John R. Gerlach source 10
NESUG 2006 Standard SAS Macros for Standard Date/Time Processing Qin Lin,
Timothy D. Kelly		 18
PharmaSUG 2006 De-Identification of Clinical Trials Data Demystified Jack Shostak 12
WUSS 2005 A Macro Mapping Date and Time Variable to CDISC Date and Time Variable Song Liu,
Brett Sellars		 source 5
PharmaSUG 2005 Create Your Customized Case Report Form (CRF) Tracking System Tikiri B. Karunasundera 9
PharmaSUG 2005 Implementation of the CDISC SDTM at the Duke Clinical Research Institute Jack Shostak 12
PharmaSUG 2004 Programming Tips and Examples for Your Toolkit John Morrill,
Kristi Wiser		 8
PharmaSUG 2003 CDISC, ADaM, and TTE: What Are These Acronyms and How Can They Help Me with My Filing? Sandra Minjoe,
Judy Phelps		 4
PharmaSUG 2003 You've Got Data! : Using SAS from Data Receipt to Reporting Philip Vecchione 8
NESUG 2002 You've Got Data! Data Receipt and Reporting Using SAS Philip Vecchione 8
PharmaSUG 2002 Rapid Assessment of Data Set Structures Philip Vecchione 4
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
SUGI 2001 Data Visualization of Phase 1 Clinical Studies - by "Big Al's Worlds " Richard F. Synowiec source 6
SUGI 1998 Individual Summaries: Bigger Needles in Smaller Haystacks Joel J. Gruenke source 5
PNWSUG 1997 Developing SAS/AF Class Libraries for Automated Program Generation Carl R. Haske 9
SESUG 1997 Developing SAS/AF Class Libraries for Automated Program Generation Carl R. Haske 9
PharmaSUG 1997 A SAS/AF Class Library for Automated Generation of Clinical Report Programs Carl R. Haske 7
PharmaSUG 1997 Using SAS/AF as a Front End for Developing Report Program Skeletons Jeff Hamilton,
Jennifer Lester		 4
SUGI 1997 Using SAS/AF as a Front End for Developing Report Program Skeletons Jeff Hamilton,
Jennifer Lester		 source 4
SUGI 1992 The Parke-Davis Assessment Program - An Example Using SQL in SAS Programming Russell Newhouse source 6

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