HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

baseline

47 papers and 5 presentations; 51 titles.

Back to keywords

Conference × Year × Title × Authors Extras Pages
PharmaSUG 2026 ADaM Pet Peeves Part 2: More Things Programmers Do That Make Us Crazy Sandra Minjoe,
Nancy Brucken,
Alyssa Wittle,
Nate Freimark,
Richann J. Watson,
Paul K. Slagle,
Tatiana Sotingco		 source 15
PHUSE EU 2025 RECISTance Is Useless, A Novel Visualisation Of RECIST Data Using Bubbles, On A Time-line Daniel Lindenbaum source
presentation source		 10
PharmaSUG 2025 Roadmap to Efficacy Analysis for Early Phase Oncology studies Dhruv Bansal,
Christiana Hawn,
Chris Kelly		 source 23
PHUSE EU 2024 The Challenges of Using Parent Study Data in a Long-Term Extension Study Kirsty Wall source
presentation source		 9
PharmaSUG 2024 Submitting Patient-Reported Outcome Data in Cancer Clinical Trials - Guidance for Industry Technical Specifications Document [presentation] Flora Mulkey source 48
PHUSE US 2024 Accelerating Clinical Trial Submissions with Graph Theory and Log Analysis [presentation] Henning Kuich,
Tomás Sabat Stofsel		 source 42
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
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 The Phantom of the ADaM: adding missing records to BDS datasets Anastasiia Drach source 10
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 How Python or R Support/Facilitate the Validation Process of TFLs for a Study Development Using Hybrid SAS and R [presentation] Linshan Yuan,
Weiwei Xu		 source 19
PHUSE US 2023 SPECification DOCument (SPECDOC): Automating Text for Data Description, Statistical Methods, and Analysis Results for Medical Communications [presentation] Michael Pannucci source 20
PharmaSUG 2020 Oncology Graphs-Creation (Using SAS and R), Interpretation and QA Taniya Muliyil source 10
PharmaSUG 2019 From Lesion size to Best Response - Implementing RECIST through programming Ankit Pathak source 12
PharmaSUG 2019 Implementing Laboratory Toxicity Grading for CTCAE Version 5 Keith Shusterman,
Mario Widel		 source 11
PharmaSUG 2019 Making Lab Toxicity Tables Less Toxic on Your Brain Lindsey Xie,
Jinlin Wang,
Jennifer Sun,
Rita Lai,
Richann J. Watson		 source 13
PharmaSUG 2019 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PHUSE US 2019 A Future 'View' of Digital Data from Wearable Devices Daniel Schramek source
presentation source		 11
PHUSE EU 2018 Step-by-step Guide to Efficacy Analysis in Solid Tumors Oncology Clinical Trials Anastasiia Tiurdo source
presentation source		 11
PHUSE EU 2018 The Oncology-specific Domains TU, TS and RS: What to Know as a Statistical Analyst Frieder Wolff,
Vitali Gering		 source
presentation source		 8
SGF 2018 The Anatomy of Clinical Trials Data: A Beginner's Guide Venky Chakravarthy source 14
PHUSE EU 2017 Health Technology Assessment PRO Least Squares Mean Difference Programming Techniques Using SAS Yirong Cao,
Siory Traoré		 source
presentation source		 11
PharmaSUG 2016 Novel Programming Methods for Change from Baseline Calculations Mina Chen,
Peter W. Eberhardt		 source 7
PharmaSUG 2015 A Methodology of Laboratory Data Reporting of Potentially Clinical Significant Abnormality (PCSA) for Clinical Study Report Xiangchen (Bob) Cui,
Min Chen		 source 21
PHUSE EU 2014 FLIPFLOP the Data: To Check Sustained Timepoint Occurrences Rucha Landge source
presentation source		 8
PHUSE EU 2014 Implementation of Oncology Specific SDTM Domains Jacintha Eben source
presentation source		 8
MWSUG 2014 Case Study: Generating Clinical Trial Summary Plots from an ORACLE database using the SAS Macro Language Shannon L. Morrison 8
WUSS 2014 Exploring Phase 1 ADaM Deriving System from SDTM Yiwen Li source 4
PHUSE EU 2013 Using PROC GENMOD to Analyses Ratio to Placebo in Change of Dactylitis Imgard Hollweck source
presentation source		 9
PharmaSUG 2013 Combining Analysis Results from Multiply Imputed Categorical Data Bohdana Ratitch,
Ilya Lipkovich,
Michael O'Kelly		 source 19
PharmaSUG 2012 A Complex ADaM dataset? Three different ways to create one. Kevin Lee source 11
PharmaSUG 2012 Ir-RECIST-ible Sanket Kale,
Jeffrey Moran		 source 4
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 2011 From SAP to BDS: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 source 9
WUSS 2010 Mix-and-Match: Mixed Models for Analyzing Binary Outcomes with Matched Samples Sarah Short source 9
WUSS 2010 The Last Shall Be First: Matching Patients by Choosing the Least Popular First Stefanie Millar source 9
PHUSE EU 2010 The Ultimate Integration Challenge Jennifer Choon-Moi Chin,
Hester Schoeman		 source
presentation source		 11
PharmaSUG 2010 From SAP to ADaM: The Nuts and Bolts Nancy Brucken,
Paul K. Slagle		 9
NESUG 2009 LOCF: It's more than just carrying forward Vikash Jain,
Niraj J. Pandya		 10
PharmaSUG 2007 Implementing Worst Rank Imputation Using SAS Qian Wang,
Eric Qi		 10
PHUSE EU 2006 Standardization in Clinical Development Marianne Carames source 7
NESUG 2006 It's About Time! A Primer on Time-Slotting of Data Using SAS Maria Y. Reiss 13
WUSS 2005 Revisiting the Cross-Over: A Two-Period Design Using a Treatment and a Placebo Qian Zhang,
Mable Kong		 source 10
NESUG 2003 A SAS Program for Estimating Incidence Density for Cohort Studies with Multiple Follow-ups Jinbing Zhang,
Xiaofang Yu		 5
PharmaSUG 2003 How to LOCF without RETAIN and REINITIALIZING for FIRST.PATIENT Venky Chakravarthy 4
SUGI 2003 The DOW (Not that DOW!!!) and the LOCF in Clinical Trials Venky Chakravarthy source 4
PharmaSUG 2002 Data Exploration in the Pharmaceutical Industry Andrew T. Fagan 8
NESUG 2000 Clinical Trial Laboratory Data Management using the SAS System Marianne Hack 5
SCSUG 1994 Two Macros for Calculating Often Used Statistics of Symmetry and Agreement in the Biopharmaceutical Industry Jeff Heckathorn,
Mark F. Munsell		 12
SUGI 1992 The Parke-Davis Assessment Program - An Example Using SQL in SAS Programming Russell Newhouse source 6
SUGI 1990 The Analysis of Data from 2 X 2 Crossover Trials with Baseline Measurements Joe DiGennaro,
William C. Huster		 source 6
SUGI 1989 Multivariate Models for the Analysis of Crossover Experiments Vernon M. Chinchilli,
Ronald K. Elswick		 source 5

Back to keywords