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treatment arm

144 papers and 9 presentations; 150 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 The Agent That Asks the Questions: Autonomous Hypothesis Generation Over CDISC Trial Data with SAS Mehdi Hajmollaahmad Naraghi,
Lida Gharibvand		 source 14
PharmaSUG 2026 Corticosteroids in severe COVID-19 across molecular endotypes and vaccination status: an Emulated Target Trial approach to benchmark to and extend upon findings from RECOVERY Xi Jiang,
Scott McClain,
Ella Pavlechko,
Varunraj Valsaraj		 source 10
PharmaSUG 2026 Linear versus Log-Log Confidence Intervals for Kaplan-Meier Survival Estimates: Statistical Rationale and Practical Implementation using SAS 9.4 Prayag Shah source 8
PharmaSUG 2026 Path to Consistent Clinical Graphics: An R Shiny Gallery Michelle Harwood,
Austin Taylor		 source 12
PharmaSUG 2026 Perspectives on Leading Effectively in Platform Trials: Leadership and Technical Approaches Zhen (Laura) Li source 7
PharmaSUG 2026 Python for Survival Analysis: Kaplan-Meier and Reverse KM Plots Made Easy Girish Kankipati,
Bala Rajesh Jakka		 source 20
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
PHUSE US 2026 Common Issues in BIMO Clinical Site Dataset Packages Michael Beers source
presentation source		 7
PHUSE US 2026 End-to-End Workflow for CDISC Estimand Framework in Clinical Trials Hiral Raval,
Simon Luo		 source
poster source		 12
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 Group, Collapse, Repeat: A Dynamic SAS Macro for Stratification Pooling in Oncology Efficacy Analysis Venkatesh Burla source
presentation source		 9
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 Is Complexity Worth It? A Case Study Comparing Multiple Imputation Strategies Elnaz Ghadimi,
David Bushnell		 source
poster source		 4
PHUSE US 2026 Is There Really Any Benefit to Stratified Randomisation in Practice? Pavankumar Bhagat source
presentation source		 9
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 Practical Survival Analysis Techniques for Clinical Trials Using SAS Xue Ding,
Tianchen Xu		 source
presentation source		 10
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 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 Solving the Fragmentation Challenge in RA Trials: Deriving deeper insights Umayal Annamalai,
KiranKumar Vyas		 source
presentation source		 13
PHUSE APAC 2026 Summary Outputs Made Simple: A Mirror View for SAS Programmers Exploring R Venkata Koteswara Rao Rayala source
poster source		 7
PHUSE APAC 2026 Working with Biomarker - What Every Programmer Should Know Aboli Katdare source
presentation source		 14
PHUSE EU 2025 Cracking the Curve: Unlocking Clinical Insights with Ridgeline Plots Mariam Babayan,
Rafik Ghazaryan		 source
presentation source		 6
PHUSE EU 2025 gridify: Enrich Figures and Tables with Custom Headers and Footers Maciej Nasinski,
Alexandra Wall		 source
poster source		 10
PHUSE EU 2025 Visualising the Invisible: Patient Journey with Waterfall, Spider and Swimmer Plots Varsha Mithun Patil,
Sunita Poojary		 source
presentation source		 14
PharmaSUG 2025 Checking SDTM Datasets from Biostatistical Perspective Inka Leprince,
Elizabeth Li		 source 14
PharmaSUG 2025 Common Issues in BIMO Clinical Site Dataset Packages Michael Beers source 9
PharmaSUG 2025 How to compute common clinical trials statistics in R Oleksandr Babych source 15
PharmaSUG 2025 Programming Challenges in Master Protocols Vijaya Jonnalagadda source 6
PharmaSUG 2025 Visualizing oncology data through 3D bar charts in R and Python Girish Kankipati,
Venkatesulu Salla		 source 18
PHUSE US 2025 Multiple Imputation in Composite Endpoints - It's Not That Hard! Ashley Mao source
presentation source		 6
PHUSE EU 2024 A programmer's introduction to modelling with proc mixed, focusing on how to debug and validate, common mistakes and how to interpret the output George Gibson source
presentation source		 6
PHUSE EU 2024 MAICing Efficient, Flexible and Maintainable Code with Modular Programming Michael Allie source
presentation source		 10
PHUSE EU 2024 Pre ADSL - Revolutionise Your ADaM Workflow Korak Datta,
Taniya Chatterjee		 source
presentation source		 8
PharmaSUG 2024 Deep Dive into the BIMO (Bioresearch Monitoring) Package Submission Mathura P. Ramanathan,
Nancy Brucken		 source 8
PharmaSUG 2024 Updates on Preparing a BIMO Data Package Elizabeth Li,
Carl Chesbrough,
Inka Leprince		 source 17
PharmaSUG 2024 Win a PS5! How to Run and Compare Propensity Score Matching Performance Across Multiple Algorithms in Five Minutes or Less Catherine Briggs,
Sherrine Eid,
Samiul Haque,
S. Robert Collins		 source 11
PHUSE US 2024 Comparing the Performance of Propensity Score Matching Algorithms from Multiple Programming Languages Catherine Briggs source
presentation source		 7
PHUSE US 2024 EOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling Xiaoli Kong,
Jing Dai		 source
presentation source		 8
PHUSE US 2024 USUBJID Challenges: Representing Multiple Participations for Analysis and Reporting Emily Bernstein-Hanlon,
Sirisha Davuluri		 source
presentation source		 9
PHUSE 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
SESUG 2023 SAS Macro for Randomization-Based Methods for Covariance and Stratified Adjustment of Win Ratios and Win Odds for Ordinal Outcomes Elaine Kowalewski,
Ann Marie K. Weideman,
Gary G. Koch		 source 11
PharmaSUG 2023 A model for sponsors to support independent operation of IDMCs in clinical trials. Bhanu Bayatapalli,
Yiyi Chen		 source 8
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 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 Sensitivity Analysis for Missing Data Using Control-based Pattern Imputation Jun Feng,
Jingmin Liu		 source 7
PharmaSUG 2023 Shifting the drug development paradigm with Adaptive Design and master protocol Aman Bahl source 16
PharmaSUG 2023 Survival Methods for Crossover in Oncology Trials Brian Mosier source 18
PHUSE US 2023 Handling Multiple Adaptations in One Clinical Trial Parvee Kumar,
Shrutimita Pokhariyal		 source
presentation source		 6
PHUSE US 2023 Learnings from an External Comparator Study Based on Real-World Data (RWD) / Real-World Evidence (RWE) in T-Cell Therapy for Solid Tumors Rabia Ahmad source
presentation source		 6
PHUSE US 2023 Leveraging Big Data in Real-World Evidence Generation: Data Engineering Challenges and Possibilities Samiul Haque,
S. Robert Collins		 source
presentation source		 6
SESUG 2022 A SAS Macro to Calculate Blinding Index in Clinical Trials: %blinding_index, an application of PROC IML Jingwei Wu,
Di Zhu		 source 7
PharmaSUG 2022 A Multilingual Shiny App for Drug Labelling in Worldwide Submission Jinchun Zhang,
Aiming Yang,
Yiwen Luo,
Nan Xiao,
Yilong Zhang		 source 13
PharmaSUG 2022 Win Ratio Simulation For Power Calculation Made Easy Lili Li,
Roger Chang,
Benjamin Fine,
Yu-Chen Su		 source 13
PHUSE US 2022 (eDISH) Evaluation of Drug-induced Serious Hepatotoxicity Using SAS Graph [presentation] Jaimin Patel source 13
PHUSE US 2022 DPS Helper: A Web Application to Create the Data Presentation Specifications Word Document in Clinical Trials [presentation] Asavari Mehta,
Xiaoguang Yan		 source
video		 37
PHUSE US 2022 Reassure Your Assumptions Using Sensitivity Analysis [presentation] Vadym Kalinichenko source
video		 29
PharmaSUG 2021 Making Customized RTF Output with R Package r2rtf Huei-Ling Chen,
Heng Zhou,
Madhusudhan Ginnaram,
Yilong Zhang		 source 12
PharmaSUG 2021 Survival Statistics with PROC LIFETEST and PROC PHREG: Pitfall-Avoiding Survival Lessons for Programmers Yun (Julie) Zhuo source 10
PHUSE EU 2020 A Programmer's Journey Through an Early Oncology Adaptive Platform Trial [presentation] Rafi Rahi source
video		 20
PHUSE EU 2020 The TransCelerate Hackathon: Accelerating Development [presentation] Johannes Ulander source
video		 26
PHUSE EU 2020 Use Cases of Google Sheets in Programming Applications [presentation] Carina Hillenbach source
video		 16
PharmaSUG 2020 %MVMODELS: a Macro for Survival and Logistic Analysis Jeffrey P. Meyers source 23
PharmaSUG 2020 End-to-end Prostate-Specific Antigen (PSA) Analysis in Clinical Trials: From Mock-ups to ADPSA Joy Zeng,
Varaprasad Ilapogu,
Xinping Cindy Wu		 source 12
PharmaSUG 2020 Making Customized ICH Listings with ODS RTF Huei-Ling Chen,
William Wei		 source 13
PharmaSUG 2020 Preparing a Successful BIMO Data Package Elizabeth Li,
Carl Chesbrough,
Inka Leprince		 source 20
PharmaSUG 2020 Principal Stratum strategy for handle intercurrent events: a causal estimand to avoid biased estimates Andrea Nizzardo,
Giovanni Marino Merlo,
Simona Scartoni		 source 13
PHUSE US 2020 A Programmer's Journey through the BIMO Submission Process Raghavender Ranga source
presentation source		 12
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 Volcano Plot: Demystifying Why and How Chandana Sudini,
Jyothi Nelakurthi		 source
presentation source		 9
PHUSE EU 2019 Dose-finding Schemes in Clinical Trials Michael Brockmann source
presentation source		 15
PHUSE EU 2019 Optimise PRO Data Analysis with an Interactive Approach Tadeusz Lewandowski source
presentation source		 9
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
PharmaSUG 2019 A macro of evaluating the performance of the log-rank test using different weight for enrichment studies Chuanwu Zhang,
Byron J. Gajewski,
Jianghua(Wendy) He		 source 13
PharmaSUG 2019 Enhancing Randomization Methodology Decision-Making with SAS Simulations Kevin Venner,
Jennifer Ross,
Kyle Huber,
Graham Nicholls		 source 15
PharmaSUG 2019 Interactive TLFs - A Smarter Way to Review your Statistical Outputs Bhavin Busa source 5
PharmaSUG 2019 Useful SAS techniques in Efficacy Analysis for Oncology studies Joy Zeng source 21
PHUSE US 2019 Optimize PRO Data Analysis with an Interactive Approach Xiangyun Wang,
Elisabeth Piault-Louis		 source
presentation source		 8
PHUSE EU 2018 Forest Plots in Survival Subgroup Analyses Michael Brockmann,
Julia Benzing		 source
presentation source		 11
PHUSE EU 2018 The MetaDataHub - Integrating, Searching and Presenting Study Descriptive Information Elisabeth Nyman,
Michail Doulis		 source
presentation source		 8
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 US 2018 Adverse Event Analysis - One step forward! Anuja Rasal source
presentation source		 11
PHUSE US 2018 Interim Survival Analysis Across 3 Platforms Venita DePuy source
presentation source		 22
PharmaSUG 2018 A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening William Coar source 8
PharmaSUG 2018 Exploring techniques of using multiple SET statements in a DATA step Yizhong Huang source 10
PharmaSUG 2018 Implementing the Rank-Preserving Structural Failure Time Model in SAS and R Bradford J. Danner,
Indrani Sarkar		 source 8
SGF 2018 A One-Sided Fisher's Exact Test: A Tail of Clinical Worsening Bill Coar source 9
PHUSE EU 2017 FlexRandomizer: Easy Randomisation in Real Time Priyadarshan Shinde,
Mangesh Kulkarni		 source
presentation source		 12
PHUSE EU 2017 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
PharmaSUG CN 2017 Overview of OSI Deliverables from Programming Perspective Wang Zhang 6
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 Good versus better SDTM: Including Screen Failure Data in the Study SDTM? Henry B. Winsor,
Mario Widel		 source 9
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 Visualizing Enrollment Over Time Laura Gruetzner source 11
SESUG 2016 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
SESUG 2016 Surviving the Interim: Insights Into Interim Survival Analyses Venita DePuy source 31
PHUSE EU 2016 Interactive Data Visualisation and Exploration Using the Loon R Package Adrian Waddell source
presentation source		 8
PharmaSUG 2016 SAS Macro for Summarizing Adverse Events Julius Kirui,
Rakesh Mucha		 source 11
PHUSE EU 2015 Adjusting Long-term Efficacy Estimates when Patients Cross Over to Experimental Treatment Sabine Lauer source
presentation source		 11
SESUG 2015 Multilevel Randomization Marina Komaroff,
Lois Lynn		 source 10
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 2015 Have a Complicated Graph? Annotate Can be Great! Scott Burroughs source 6
PharmaSUG 2015 Multilevel Randomization Marina Komaroff,
Lois Lynn		 source 10
SESUG 2014 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
PHUSE EU 2014 Checking Symmetry in Predefined Time Assessments Antonio Nieto,
José Luis Jiménez Moro		 source
presentation source		 9
PHUSE EU 2014 Clinical Site Dataset in eSubmissions to the FDA Stefanie Sturm source
presentation source		 3
PHUSE EU 2014 Inverse Probability of Censoring Weighting for Selective Crossover in Oncology Clinical Trials José Luis Jiménez Moro,
Javier Gómez Garcia		 source
presentation source		 5
PHUSE EU 2014 PROC EASTMONITOR - A SAS Add-on for Monitoring Adaptive Clinical Trials Sheetal Solanki,
Ajay Sathe		 source
presentation source		 15
PHUSE EU 2014 Submitting Summary Level Site Data: Overview, Implementation and Case Studies Robert F. Woolson,
Jeffrey M. Abolafia,
Ben Vaughn		 source
presentation source		 9
PharmaSUG 2014 %ME: A SAS Macro to Assess Measurement Equivalence for Patient-Reported Outcome Measures Qinlei Huang source 8
PharmaSUG 2014 Risk-Based Approach to Identifying and Selecting Clinical Sites for Sponsor's Preparation for FDA/EMA Inspection Xiangchen (Bob) Cui source 21
SGF 2014 Using SAS to Support the Implementation of a Patient-Centered Outcomes Research Institute Grant Funded by the Affordable Care Act Michele Mesiano,
Meghna Parthasarathy,
Lauren Terhorst		 source 12
WUSS 2013 Flexible Code: How Not to Get Stuck in a "Maze of twisty little passages, all alike" Paul D. Hamilton source 6
SESUG 2013 A SAS Macro for Finding Optimal k-Means Clustering in One Dimension with Size Constraints Fengjiao Hu source 5
PHUSE EU 2013 Evolving Regulatory Guidance on the Submission of Standardised Data [presentation] James R. Johnson source 25
PharmaSUG 2013 Combining Analysis Results from Multiply Imputed Categorical Data Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly		 source 19
PharmaSUG 2013 Experiences in Preparing Summary Level Clinical Site Data within NDA's Submission for FDA's Inspection Planning Xiangchen (Bob) Cui source 19
PharmaSUG 2013 JMP versus JMP Clinical for Interactive Visualization of Clinical Trials Data Doug Robinson,
Jordan Hiller		 source 11
PharmaSUG 2013 The Hash of Hashes as a "Russian Doll" Structure: Application to Clinical Adverse Events Data Analysis Joseph W. Hinson source 12
SGF 2013 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 12
SGF 2013 The Surprisingly "Sym"ple Alternative to Hardcoding Rachel Carlson,
Ruchi Sharma		 source 6
WUSS 2012 Implementing the New ICH Development Safety Update Report (DSUR) Rajkumar Sharma source 10
PharmaSUG 2012 Adapt and Survive: Implementing the new ICH Development Safety Update Report (DSUR) Patricia L. Gerend,
Rajkumar Sharma		 source 10
PharmaSUG 2012 Pattern-Mixture Models as Linear Combinations of Least Squares Means from MMRM with Delta Method Variance Estimation Bohdana Ratitch,
Michael O'Kelly		 source 15
PharmaSUG 2012 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 23
SCSUG 2011 A Well Designed Process and QC Tool for Integrated Summary of Safety Reports Huei-Ling Chen source 6
SESUG 2011 Permutated-block randomization with varying block sizes using SAS Proc Plan Lei Li source 6
WUSS 2011 Consistency of Treatment Effect cross Regions Yunfeng Li source 6
WUSS 2011 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 23
PharmaSUG 2011 Computing Percentage Using PROC TABULATE - from Simple to More Complex Wende (Ted) Tian,
Hong (Lily) Zhang		 source 11
PharmaSUG 2011 Creating Forest Plots Using SAS/GRAPH and the Annotate Facility Amanda Tweed source 7
PharmaSUG 2011 Implementation of Pattern-Mixture Models Using Standard SAS/STAT Procedures Bohdana Ratitch,
Michael O'Kelly		 source 10
SGF 2011 Randomizing Small Strata Groups: Balancing Baseline Population Measures While Staying True to a Chosen Allocation Strategy, an Alternative to PROC SURVEYSELECT Gregg M. Oginz source 12
WUSS 2010 Blocked Randomization with Randomly Selected Block Sizes: A Flexible SAS Macro Jimmy Thomas Efird source 3
PharmaSUG 2010 Assessing superiority/futility in a clinical trial: from multiplicity to simplicity with SAS Philip J. d'Almada,
Laura Aberle		 9
PharmaSUG 2010 From SAP to ADaM: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 9
PharmaSUG 2010 SAS Programmer's check list-Quick checks to be done before the statistical reports go off the SAS Programmer's table Thomas T. Joseph 7
PharmaSUG 2009 A SAS Macro for Creating Adverse Event Analysis Dataset Daniel Li,
Suwen Li,
Stephanie Sproule		 10
MWSUG 2008 Blinding Sponsors for Open Label Studies: Challenges and Solutions Quan Jenny Zhou,
Shengyan Hong,
Zhengping Ma		 9
PharmaSUG 2008 The Power of PROC GPLOT in Statistical Analysis of Clinical Studies Aiming Yang 13
WUSS 2007 A SAS Algorithm for Block Randomization Jimmy Thomas Efird,
Miki Hong,
Pollie Bith-Melander,
Chieko Kimata,
Caroline Jiang,
Kathleen Baker		 source 4
WUSS 2007 AN ADAPTIVE ALGORITHM TO COMPUTE POWER FOR THE HOCHBERG SEQUENTIAL REJECTIVE PROCEDURE: A CORRELATED DATA EXAMPLE Jimmy Thomas Efird,
Susan Searles Nielsen		 source 6
WUSS 2007 Health Outcomes Research Using Time-to-Event Analytic Approaches Tyler C. Smith,
Besa Smith		 source 22
PharmaSUG 2007 A Unified SAS Macro for Generating Randomisation Schedule Madan G. Kundu,
Arjun Roy		 12
SUGI 2006 Using the SAS System for Experimental Designs for Multi-Component Interventions in Medicine Heather G. Allore,
Peter Peduzzi,
Ling Han,
Mary Tinetti		 source 7
PHUSE EU 2005 Splendida fugilente oculi, e.g. dummy randomization lists to more than designed patient profiles Magnus Mengelbier source 5
WUSS 2005 Graphing the Probability of Event as a Function of Time Using Survivor Function Estimates and the SAS System's PROC PHREG Tyler C. Smith,
Besa Smith		 source 18
PharmaSUG 2005 Analyzing and Displaying Study Data in Clinical Trials Made Easy Denise J. Smith 15
NESUG 2004 Minimization: Testing a Dynamic Randomizaton Algorithm Donna E. Levy,
Emily Blood		 15
WUSS 2004 Kaplan Meier And Cox Proportional Hazards Modeling: Hands On Survival Analysis Tyler C. Smith,
Besa Smith		 source 14
SUGI 2004 A SAS Macro for Generating Randomization Lists in Clinical Trials Using Permuted Blocks Randomization Mazen Abdellatif source 12
PharmaSUG 2003 Implementing Constrained or Balanced-Across-the-Centers Randomization with SAS v8 Procedure PLAN Cindy Q. Song,
Olga M. Kuznetsova		 8

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