PharmaSUG2024paper·US·Advanced Programming
Comprehensive Evaluation of Large Language Models (LLMs) Such as ChatGPT in Biostatistics and Statistical Programming AP-191
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PharmaSUG2024paper·US·Advanced Programming
R Shiny and SAS Integration: Execute SAS Procs from Shiny Application AP-212
PharmaSUG2024paper·US·Advanced Programming
Potentials and Caveats When Using ChatGPT for Enhanced SAS Macro Writing AP-218
PharmaSUG2024paper·US·Advanced Programming
Create a Shift Summary of Laboratory Values in CTCAE Grade to the Worst Grade Abnormal Value using R and SASSY System AP-229
PharmaSUG2024paper·US·Advanced Programming
Externally Yours – Adeptly Managing Data Outside Your EDC System AP-252
PharmaSUG2024paper·US·Advanced Programming
Build Your Own PDF Generator: A Practical Demonstration of Free and Open-Source Tools AP-253
PharmaSUG2024paper·US·Advanced Programming
Leveraging ChatGPT in Statistical Programming in the Pharmaceutical Industry AP-256
PharmaSUG2024paper·US·Advanced Programming
A New Approach to Automating the Creation of the Subject Visits (SV) Domain AP-268
PharmaSUG2024paper·US·Advanced Programming
Programming with SAS PROC DS2: Experience with SDTM/ADaM AP-289
PharmaSUG2024paper·US·Advanced Programming
Replicating SAS® Procedures in R with the PROCS Package AP-295
PharmaSUG2024paper·US·Advanced Programming
Comparison of Techniques in Merging Longitudinal Datasets with Errors on Date Variable: Fuzzy Matching versus Clustering Analysis AP-298
PharmaSUG2024paper·US·Advanced Programming
Just Stringing Along: FIND Your Way to Great User-Defined Functions AP-349
PharmaSUG2024paper·US·Advanced Programming
Efficient Repetitive Task Handling in SAS Programming Through Macro Loops AP-361
PharmaSUG2024paper·US·Advanced Programming
Generation of Synthetic Data for Clinical Trials in Base SAS using a 2-Phase Discrete-Time Markov and Poison Rare Event Framework AP-420
PharmaSUG2024paper·China·Advanced Programming (AP)
One-stop solution for QA - Automation Tool by Python AP-10002 Beijing
PharmaSUG2024paper·China·Advanced Programming (AP)
Trial Agent: An Innovative and Intelligent LLM based Agent for Autonomous Clinical Trial Data Analysis AP-10006 Beijing
PharmaSUG2024paper·China·Advanced Programming (AP)
Application of I&I Late Phase in Programming AP-10009 Beijing
PharmaSUG2024paper·China·Advanced Programming (AP)
Validation result checking and tracking by X command AP-10022 Beijing
PharmaSUG2024paper·China·Advanced Programming (AP)
Application of Exhaustive Method in Deriving Confirmed Best Overall Response AP-10030 Beijing