HOME QUICK SEARCH AUTHORS KEYWORDS HELP BUGS

treatment period

71 papers and 2 presentations; 67 titles.

Back to keywords

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 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
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 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 EU 2025 Robust Programming Strategies for Exposure to ADaM Datasets Susann Grill source
poster source		 13
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
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 EU 2024 Data integration on CDISC ADaM Level: Multi-purpose Structures of ADSL and BDS Datasets Renate Scheiner-Sparna source
presentation source		 6
PharmaSUG CN 2024 Application of I&I Late Phase in Programming Renxiang Wang source 15
PharmaSUG CN 2024 Implementation and tips on How to handle the ILD case in ADC trials Chen Lin Juan source 8
PharmaSUG CN 2024 Return to baseline status of the worst elevated liver function tests Yuan Sun,
Tingting Zhang		 source 10
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
PHUSE US 2024 USUBJID Challenges: Representing Multiple Participations for Analysis and Reporting Emily Bernstein-Hanlon,
Sirisha Davuluri		 source
presentation source		 9
PHUSE US 2023 ADAE Design for Multiple Phase Trial Deepak S. Grewal source
presentation source		 4
PHUSE EU 2021 Standing Room Only: SA07: Programming Pooled Safety Data for Ongoing Oncology Submissions [presentation] Sarah Berenbrinck source 36
PharmaSUG 2021 Automated CONSORT Flow Diagram Generation by SAS Programming Ryan Yu source 10
PharmaSUG 2021 CDISC ADaM Phases, Periods, and Subperiods: A Case Study Jennifer K. Fulton source 9
PharmaSUG 2021 Double Waterfall Plot Creation for Comparing Target Lesions Data Anilkumar Anksapur,
Raghava Pamulapati		 source 9
PharmaSUG 2021 Neoadjuvant and Adjuvant Oncology Clinical Trials and Considerations for Designing the Subject Level Analysis Dataset (ADSL) Madhusudhan Reddy Papasani,
Swathi Kotla,
Elisabeth Pyle		 source 9
PHUSE EU 2020 Novel eCRF Study Template to Support Adaptive Design Studies in Medidata Rave [presentation] Nele Claes,
Ray Lacchman		 source
video		 29
PharmaSUG 2020 Butterfly Plot for Comparing Two Treatment Responses Raghava Pamulapati source 13
PHUSE EU 2019 ADaM Programming Made Easy - Common ADaM Templates and an SAS Macro Library Niels-Kristian Kjøller source
poster source		 4
PHUSE EU 2019 Analysis of crossover studies in patient narratives Rebecca Lyzinski source
presentation source		 6
PHUSE EU 2019 Challenges Involved with Using Legacy Clinical Trial Study Data During Integration Adebola Opasanya source
poster source		 8
MWSUG 2019 Timing is Everything: Defining ADaM Period, Subperiod and Phase Nancy Brucken 7
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 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 Making Lab Toxicity Tables Less Toxic on Your Brain Lindsey Xie,
Jinlin Wang,
Jennifer Sun,
Rita Lai,
Richann J. Watson		 source 13
PharmaSUG 2019 Practical Guide for Creating ADaM Datasets in Cross-over Studies Neha Sakhawalkar,
Kamleshkumar Patel		 source 10
PharmaSUG 2019 Timing is Everything: Defining ADaM Period, Subperiod and Phase Nancy Brucken source 7
PHUSE EU 2018 The MetaDataHub - Integrating, Searching and Presenting Study Descriptive Information Elisabeth Nyman,
Michail Doulis		 source
presentation source		 8
MWSUG 2018 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson 15
PharmaSUG 2018 ADaM data structure layout: common issues and ways to avoid Jianfei Jiang source 5
PharmaSUG 2018 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson,
Karl Miller		 source 18
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
WUSS 2017 Avoiding Sinkholes: Common Mistakes During ADaM Data Set Implementation Richann J. Watson,
Karl Miller		 source 15
SESUG 2016 SDTM What? ADaM Who? A Programmer's Introduction to CDISC Venita DePuy source 9
MWSUG 2016 Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency Angela Wells,
Ashlie Ossege		 14
PharmaSUG 2016 Implementation of ADaM Basic Data Structure for Cross-over Studies Songhui Zhu source 10
PHUSE EU 2015 EPOCH in Reverse Ann Croft source
presentation source		 7
PharmaSUG CN 2015 Build Child Growth Charts Using SAS GTL Rajesh Babu Moorakonda 8
PharmaSUG 2015 Leveraging ADaM Principles to Make Analysis Database and Table Programming More Efficient Andrew L Hulme source 13
SGF 2015 Assessing the Impact of Communication Channel on Behavior Changes in Energy Efficiency Angela Wells,
Ashlie Ossege		 source 14
SGF 2015 Deriving Adverse Event Records Based on Study Treatments Jonson Jiang source 6
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 Challenges with the Interpretation of CDIOSC - Who Can We Trust? Linda Palm Simonsson source
presentation source		 10
SGF 2013 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 12
PharmaSUG 2012 A Complex ADaM dataset? Three different ways to create one. Kevin Lee source 11
PharmaSUG 2012 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 23
WUSS 2011 Statistical Graphics for Clinical Research Using ODS Graphics Designer Wei Cheng source 23
PHUSE EU 2011 Use of early longitudinal viral load as a surrogate to the virologic endpoint in Hepatitis C Igwebuike Enweonye source
presentation source		 12
PharmaSUG 2011 Trials and Tribulations of SDTM Trial Design Fred Wood,
Mary Lenzen		 source 5
PHUSE EU 2009 Implementation of ADaM standards NOT driven by a submission Karin Fleischer source
presentation source		 7
PharmaSUG 2009 CHECK YOUR DATA MORE EFFICIENTLY Jian Hua (Daniel) Huang 12
SGF 2007 Graphical Representation of the Mean Measurement over Time Wei Cheng source 9
PNWSUG 2006 You Can't Stop Statistics: SAS/STAT Software Keeps Rolling Along Maura E. Stokes,
Robert N. Rodriguez		 32
NESUG 2006 It's About Time! A Primer on Time-Slotting of Data Using SAS Maria Y. Reiss 13
NESUG 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 32
PharmaSUG 2006 CFB: A Programming Pattern for Creating "Change from Baseline" Datasets Lei Zhang 12
SUGI 2006 Constructing Stack Tables with Magic %GluePlus (Another User-Defined Macro for Creating Stack Tables) Lei Zhang,
George Li		 source 12
SUGI 2006 title=Like Wine, the TTEST Procedure Improves with Age John M. Castelloe,
Randall D. Tobias		 source 14
SUGI 2006 You Can't Stop Statistics Maura E. Stokes,
Robert N. Rodriguez		 source 32
NESUG 2005 A Programming Pattern for Differences Calculation in Clinical Data Analysis Lei Zhang,
Chang Y. Chung		 8
PharmaSUG 2005 Constructing Stack Tables With Proc Report and ODS RTF Lei Zhang 11
SESUG 2004 Crossover Designs and Proc Mixed In SAS Hossein N. Yarandi source 11
PharmaSUG 2004 SAS Application in 2x2 Crossover Clinical Trial Wuwei Wayne Feng 10
PharmaSUG 2000 From Data to Study Report in One Step: A SAS Macro for the 2,2,2 Crossover Design Amy Morris,
Thomas E. Bradstreet		 5
SUGI 1997 Graphical and Analytical Tools for the Analysis of Two-Period Crossover Clinical Trials Jeff A. Sloan,
Paul J. Novotny,
Charles L. Loprinzi,
Suresh Nair		 source
SUGI 1992 Using the GLM Procedure to Analyze Multivariate Response in Crossover Designs Julie Myers Grender,
William D. Johnson		 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