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time variable

124 papers and 2 presentations; 102 titles.

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Conference × Year × Title × Authors Extras Pages
WUSS 2026 From Raw to Compliant: Applying Domain-Specific SAS Macros for Data Cut-Off in Clinical Trials Ballari Sen source 26
PharmaSUG CN 2026 A Comprehensive R Shiny Application for Pharmacokinetic Analysis Keyi Zhang source 17
PharmaSUG 2026 Picking Up the Pieces: Implementation of (the forgotten) ADaM Naming Fragments Richann J. Watson,
Karl Miller		 source 7
PharmaSUG 2026 Two Paths, One PK Journey: The Art of Balancing ADPC and ADNCA Ashok Abburi,
Rakhe Jacob,
Shibani Harite		 source 7
SESUG 2025 Writing ESTIMATE statements to compare continuous scores over time overall and by group Alexis Wardell,
Allison M. Deal		 18
PharmaSUG 2024 A New Approach to Automating the Creation of the Subject Visits (SV) Domain Xiangchen (Bob) Cui,
Jessie Wang,
Min Chen		 source 24
PHUSE US 2024 Population Pharmacokinetic Analysis Data (ADPPK) Programming in {admiral} and the pharmaverse Jeffrey Dickinson source
poster source		 9
WUSS 2023 When ANY Function Will Just NOT Do Richann J. Watson,
Karl Miller		 source 8
PHUSE US 2023 Up-to-Date with Dates - Imputation Rules in R Compared to SAS Monika Ludwinska source
presentation source		 10
PharmaSUG 2022 Evaluating and Correcting Nominal and Actual Relative Time Measurements in Clinical Trials PK data Timothy J. Harrington source 17
PharmaSUG 2022 Unravel the mystery around NONMEM data sets for statistical programmers Sabarinath Sundaram,
Lyma Faroz		 source 9
PHUSE EU 2020 Getting It Right: Refinement of SEND Validation Rules [presentation] Kristin Kelly source
video		 29
SGF 2020 A Beginner's Guide to Using ARRAYs and DO Loops Jennifer L. Waller source 12
SGF 2020 Don't Just Survive, Thrive with This Multi-Stratified Cox Proportional Hazards Model Macro Katelyn J. Ware,
Paul Egeler		 source 11
SGF 2020 Time After Time: D-I-D and ITS Models in SAS Margaret Warton source 21
PharmaSUG 2020 A Brief Introduction to Performing Statistical Analysis in SAS, R & Python Erica Goodrich,
Daniel Sturgeon		 source 22
PharmaSUG 2020 Demographic Table and Subgroup Summary Macro %TABLEN Jeffrey P. Meyers source 12
PharmaSUG 2019 A Practical Guide to the Issues Summary in the Data Conformance Summary of Reviewer's Guides Gary E. Moore source 15
PharmaSUG 2019 Achieving Zen: A Journey to ADaM Compliance Kirsty R. Lauderdale,
Kjersten Offenbecker,
Alice Ehmann		 source 7
PharmaSUG 2019 Considerations and Updates in the Use of Timing Variables in Submitting SDTM-Compliant Datasets Jerry Salyers source 9
SGF 2019 Months to Weeks: SAS Credit Scoring Express Implementation Abhijit S. Joshi source 12
PHUSE US 2019 An Open Clinical Data Quality Framework Vineet Jain source
presentation source		 11
PharmaSUG 2018 PK Data Explained Timothy J. Harrington source 9
PharmaSUG 2018 Programming Support for Anti-Drug Antibody Pharmacokinetics in Therapeutic Protein Drug Development Linghui Zhang,
Jiannan Kang		 source 11
PharmaSUG 2018 TECHNIQUES FOR GLOBAL, ADAPTABLE, AND EFFICIENT PROGRAMMING Sunil Kumar Pusarla source 8
SGF 2018 Claim Risk Scoring Using Survival Analysis Framework and Machine Learning with Random Forest Yuriy Chechulin source 15
SGF 2018 Getting Started with Survival Analysis Marc Huber source 76
SESUG 2017 When ANY Function Will Just NOT Do Richann J. Watson source 8
WUSS 2017 Standardized Approaches for Analyzing Quality Improvement Interventions in Healthcare Settings Polina Kukhareva source 20
PharmaSUG 2017 The %NEWSURV Family of Macros: An Update on the Survival Plotting Macro %NEWSURV and an Introduction to Expansion Macros Jeffrey P. Meyers source 21
SGF 2017 When ANY Function Will Just NOT Do Richann J. Watson,
Karl Miller		 source
pdf		 8
PharmaSUG 2016 When ANY Function Will Just NOT Do Richann J. Watson,
Karl Miller		 source 8
SGF 2016 How to STRIP Your Data: Five Go-To Steps to Assure Data Quality Michael Santema,
Fagen Xie		 source 6
SGF 2016 Let the Schedule Manager Take Care of Scheduling Jobs in SAS Management Console 9.4 Anjan Matlapudi source 11
SESUG 2015 All Data Are (Most Likely) Not Created Equal: A SAS Macro to Compare Structure and Data Across Multiple Datasets Jason L. Salemi source 13
SESUG 2015 Behavioral Trajectories: An Analysis of Growth Patterns and Predictors of Changes from Preschool to First Grade Jin Liu,
Fan Pan,
Yin Burgess,
Christine DiStefano		 source 11
SGF 2015 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 20
MWSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers 20
PharmaSUG 2014 Kaplan-Meier Survival Plotting Macro %NEWSURV Jeffrey P. Meyers source 19
PharmaSUG 2014 Survival Analysis Approaches and New Developments using SAS Jane Lu,
David Shen		 source 13
PharmaSUG 2014 Times Can Be Tough: Taming DATE, TIME and DATETIME Variables Sajeet Pavate source 6
SESUG 2013 ISO 101: A SAS Guide to International Dating Xiaojin Qin source 22
SESUG 2013 Lost in Translation: A Statistician's (Basic) Perspective of PROC LIFETEST Alexandra Buck source 7
PHUSE EU 2013 Considerations in the Submission of Holter (EG) Data in an SDTM Compliant Format Elsa Lozachmeur,
Sophie Arnould		 source
presentation source		 7
PHUSE EU 2013 Extensions of Cox Model for Non-Proportional Hazards Purpose Jadwiga Borucka source
presentation source		 10
PharmaSUG 2013 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt source 12
PharmaSUG 2013 Working Hard to Become Lazy Sunil Kumar Pusarla,
Paul D. Hamilton		 source 7
SGF 2013 ISO 101: A SAS Guide to International Dating Peter W. Eberhardt,
Xiaojin Qin		 source 22
SGF 2013 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt source
pdf		 12
MWSUG 2012 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt 15
PharmaSUG CN 2012 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt 15
PharmaSUG 2012 Automatic Consistency Checking of Controlled Terminology and Value Level Metadata between ADaM Datasets and Define.xml for FDA Submission Xiangchen (Bob) Cui,
Min Chen		 source 15
PharmaSUG 2012 Multiple Applications of ADaM Time-to-Event Datasets Huei-Ling Chen,
Helen Wang		 source 6
PharmaSUG 2012 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt source 15
SGF 2012 Automatic Consistency Checking of Controlled Terminology and Value Level Metadata between ADaM Datasets and Define.xml for FDA Submission Xiangchen (Bob) Cui,
Min Chen		 source 15
SGF 2012 SAS Tools for Cost-Effective and High-Quality Clinical Trial Reporting Paul J. Novotny,
Angelina Tan,
Nathan R. Foster,
Jeff A. Sloan		 source 10
SESUG 2011 Why the Bell Tolls 108 times? Stepping Through Time with SAS Peter W. Eberhardt,
Yunbo Sun		 source 15
MWSUG 2011 A Macro to Estimate Sample-size Using the Non-Centrality Parameter of a Non-Central F-Distribution Matthew C. Fenchel,
Raouf S. Amin,
Rhonda D. VanDyke		 20
PharmaSUG 2011 A Programmer's Introduction to Survival Analysis Using Kaplan Meier Methods John Ventre,
Lisa Fine		 source 8
PharmaSUG 2011 Good Versus Better SDTM - Date and Time Variables Mario Widel,
Henry B. Winsor		 source 3
SGF 2011 If Its 18722 Then This Must Be SAS Global Forum: An Introduction to SAS Dates Peter W. Eberhardt source 13
NESUG 2010 Date Conversions in SDTM and ADaM Datasets Lily Zhang,
Lili Chen,
Huei-Ling Chen		 8
NESUG 2010 Tick-Tock, Watch the Clock: How Long Will This Take to Run? (aka. Making Information Maps and Web Report Studio Projects More Efficient) Fazal Davood,
Susan M. Jumper		 12
SCSUG 2010 It's Five O'Clock Somewhere!!! Handling Dates And Times In SAS Toby Dunn,
Sarah Woodruff		 source 21
PHUSE EU 2010 Assesment of Cox Proportional Hazard Model Adequacy Using PROC PHREG and PROC GPLOT Jadwiga Borucka source
presentation source		 13
SESUG 2010 It's Five O'Clock Somewhere!!! Handling Dates And Times In SAS Toby Dunn,
Sarah Woodruff		 source 21
PharmaSUG 2010 Surviving Survival Analysis: Basic Knowledge from a Programmer's Viewpoint Deb Cassidy 9
SGF 2010 Optimizing Revenues in the Hospitality and Retail Industries: Comparing and Contrasting Different Industry Problems and How SAS Analytics Is Used to Solve Them Alex Dietz,
Kelly A. McGuire		 source 12
SGF 2010 Working with SAS Date and Time Functions Andrew H. Karp source 20
SESUG 2009 Using SAS to Explore the Impact of a Care Management Maternity Program Barbara B. Okerson source 9
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
PharmaSUG 2009 Concepts and Ideas for Developing and Maintaining a Utility Toolbox of SAS Statistical Procedures David W. Carr 6
SGF 2009 Using SAS to Explore the Impact of a Care Management Maternity Program Barbara B. Okerson source 9
WUSS 2008 Score Test of Proportionality Assumption for Cox Models Xiao Chen source 6
SESUG 2008 Conversion from Daylight Savings to Standard Time Audrey Ewen source 6
SGF 2008 CDISC: Pains and Pitfalls of Data Set Creation Steven L. Michaelson,
Janet E. Stuelpner		 source 5
NESUG 2007 Using Dates and Times - A Tutorial Jonas V. Bilenas 10
PharmaSUG 2007 CDISC: Pains and Pitfalls to Dataset Creation Janet E. Stuelpner,
Steven L. Michaelson		 5
PharmaSUG 2007 From CRF Data to DEFINE.XML: Going "End to End" with Metadata Frank C. DiIorio,
Jeffrey M. Abolafia		 20
SGF 2007 An Analysis of Abundance and Catch Probability of Sharks off Coastal Louisiana Rebecca Barry,
Kevin Condrey,
Richard Geaghan,
James P. Christofferson		 source 9
SGF 2007 Data Mining to Investigate the Prescribing of Medications Longitudinally Mussie A. Tesfamicael source 17
SGF 2007 The Electronic Project: Effectively Using Metadata throughout the Project Life Cycle Jeffrey M. DiIorio,
Frank Abolafia		 source 18
SGF 2007 Using SAS Dates and Times: A Tutorial Jonas V. Bilenas source 10
NESUG 2006 Standard SAS Macros for Standard Date/Time Processing Qin Lin,
Timothy D. Kelly		 18
SUGI 2006 Graphing Laboratory Data and an Introduction to the Custom Macro %GRAPHME Adrienne Groulx source 7
WUSS 2005 A Macro Mapping Date and Time Variable to CDISC Date and Time Variable Song Liu,
Brett Sellars		 source 5
NESUG 2005 A Time Machine: Using SAS Macros Adel Fahmy 13
PharmaSUG 2005 %KMPlot - An Enhancement of SAS PROC LIFETEST Weifeng Xu,
William W.B. Wang		 8
WUSS 2004 Working with SAS Date and Time Functions Andrew H. Karp source 12
MWSUG 2004 SAS Macros to Implement Survival Analyses for Oncology Clinical Trials Adeline Yeo 5
SESUG 2003 Working with SAS Date and Time Functions Andrew H. Karp source 9
MWSUG 2003 Working with SAS Data and Time Functions Andrew H. Karp 9
PharmaSUG 2003 SAS Macro to Create ADDL Records To Estimate Dosing Not Represented in the Collected Data, In a NONMEM Population Pharmacokinetic Analysis Dataset Richard Schneck,
Mike Heathman,
Lynn Reynolds		 6
MWSUG 2001 Working with SAS Date and Time Functions Andrew H. Karp 7
NESUG 2001 Data Transfers Across Diverse Platforms Denis Michel 5
WUSS 2001 A Beginners Guide to SAS Date and Time Handling Wayne B. Finley source 6
SEUGI 2001 New Visualisation in 8.2 [presentation] Stuart A. Nisbet source 32
NESUG 2000 Working with SAS Date and Time Functions Andrew H. Karp 7
WUSS 2000 A Beginners Guide to SAS Date and Time Handling Wayne B. Finley source 6
SUGI 2000 A Beginners Guide to SAS Date and Time Handling Wayne B. Finley source 6
WUSS 1999 Using PROC EXPAND with Time Series Data Andrew H. Karp source 4
WUSS 1999 Working with SAS Date and Time Functions Andrew H. Karp source 8
MWSUG 1999 Working with SAS Date and Time Functions with Reference to Year 2000 Issues Andrew H. Karp 7
SUGI 1999 Working with SAS Date and Time Functions Andrew H. Karp source 7
WUSS 1998 Working with SAS Date and Time Functions Andrew H. Karp source 7
NESUG 1998 "PROC TRANSPRINT" AND OTHER ODD USES OF PROC TRANSPOSE Ralph W. Leighton 8
NESUG 1998 Creative Uses of Functions Steven A. Wright 5
NESUG 1998 Working with SAS Date and Time Functions With Reference to Year 2000 Andrew H. Karp 8
PNWSUG 1998 Using PROC EXPAND with Time Series Data Andrew H. Karp 4
PNWSUG 1998 Working with SAS Date and Time Funcitons Andrew H. Karp 8
SUGI 1998 Working with SAS Date and Time Functions Andrew H. Karp source 7
WUSS 1997 Working with SAS Date and Time Functions Andrew H. Karp source 7
NESUG 1997 Portable Data Process Denis Michel 7
MWSUG 1997 An Introduction to Survival Analysis Linda M. Quinn 12
MWSUG 1997 Working with SAS Date and Time Functions Andrew H. Karp 7
SESUG 1996 Macros for Calculating Block and Rolling Averages Randy C. Finch,
Muscle Shoals		 2
SUGI 1996 Working with SAS Date and Time Functions Andrew H. Karp source 5
NESUG 1995 Working with SAS Date and Time Functions Andrew H. Karp 5
SESUG 1995 Working with SAS Date and Time Functions Andrew H. Karp 5
WUSS 1994 Working with SAS Date and Time Functions Andrew H. Karp source 5
NESUG 1992 An In-Depth Look at the PHREG Procedures Peter P. Gaccione 9
MWSUG 1991 A Flexible System of Reporting Safety Data in Clinical Trials Gregory C. Steffens 6
SUGI 1990 Programming with SAS Functions, with a Special Emphasis on SAS Dates and Times Ann K. Doty source 4
SUGI 1988 A DataEase' to SAS Interface Frank E. Harrell Jr.,
Lawrence H. Muhlbaier		 source 5
SUGI 1986 Verifying Assumptions of the Cox Proportional Hazards Model Frank E. Harrell Jr.,
Kerry L. Lee		 source 6
SUGI 1985 More Efficient Data Storage when PROC TRANSPOSE is Used for Displaying the Output Lynn T. Julian,
Donald D.M. Tong		 source 6

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