PharmaSUG2022paper·US·Applications Development
Reconstruction of survival curves: An approach of comparing study drug curve with the standard of care digital survival curve AD-036
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PharmaSUG2022paper·US·Applications Development
How to create SDTM SAS transport datasets using Python AD-045
PharmaSUG2022paper·US·Applications Development
Evaluating and Correcting Nominal and Actual Relative Time Measurements in Clinical Trials PK data AD-059
PharmaSUG2022paper·US·Applications Development
A Multilingual Shiny App for Drug Labelling in Worldwide Submission AD-062
PharmaSUG2022paper·US·Applications Development
A Shiny App to Spell Check an ADaM Specification AD-069
PharmaSUG2022paper·US·Applications Development
Exploring R as a validation tool for statistical programming in clinical trials AD-076
PharmaSUG2022paper·US·Applications Development
A SAS Macro to Aid Assembly Review of M5 Module in Submission AD-084
PharmaSUG2022paper·US·Applications Development
Checking Compliance of CDISC SDTM Datasets Utilizing SAS Procedures. AD-115
PharmaSUG2022paper·US·Applications Development
SAS Macro to Colorize and Track Changes Between Data Transfers in Subject-Level Listings AD-131
PharmaSUG2022paper·US·Applications Development
Optimizing TLF Generation: Titles and Footnotes Applying a New Idea to a Basic Approach AD-145
PharmaSUG2022paper·US·Applications Development
Connecting SAS® and Smartsheet® to Track Clinical Deliverables AD-155
PharmaSUG2022paper·US·Applications Development
Using the SAS System® with the National Center for Biotechnology Information resources and Immune Epitope Database to explore the realm of potential SARS-CoV-2 variants. AD-167
PharmaSUG2022paper·US·Applications Development
Using the SAS System® to interface with the Entrez Programming Utilities (E-utilities) of the National Center for Biotechnology Information (NCBI). AD-170
PharmaSUG2022paper·US·Applications Development
SAS® Spontaneous Combustion: Securing Software Portability through Self-Extracting Code AD-184
PharmaSUG2022paper·US·Applications Development
Using R-Shiny Capabilities in Clinical Programming to create Applications AD-196
PharmaSUG2022paper·US·Artificial Intelligence (Machine Learning)
Data Mining of Tables: The Barrier for Automation AI-010
PharmaSUG2022paper·US·Artificial Intelligence (Machine Learning)
What’s your model really doing? Human bias in Machine Learning AI-106