PharmaSUG2025paper·US·Artificial Intelligence and Machine Learning
Productive Safety Signal Detection and Analysis using In-context Learning AI-345
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PharmaSUG2025paper·US·Artificial Intelligence and Machine Learning
Harnessing AI & CDISC ARS for Effortless Statistical Reporting & CSR Writing AI-349
PharmaSUG2025paper·US·Artificial Intelligence and Machine Learning
Application of advanced GenAI tools in sample size estimation – questions and thoughts AI-356
PharmaSUG2025paper·US·Artificial Intelligence and Machine Learning
AI-Powered Data Issue Tracker for Efficient Data Issue Tracking and Resolution AI-362
PharmaSUG2025paper·China·Coder's Corner (CC)
From Circles to Custom Icons: Controlling Symbols in SAS GTL CC-130 Shanghai
PharmaSUG2025paper·China·Coder's Corner (CC)
Identifying New and Updated Records: SAS PROC COMPARE vs. SAS Hashing CC-136 Shanghai
PharmaSUG2025paper·China·Coder's Corner (CC)
SAS Code preprocessing tool development: accurate identification and removal of non-named text CC-138 Shanghai
PharmaSUG2025paper·China·Coder's Corner (CC)
A Hands-On Guide: Efficiently Managing Special Characters with a Tool for Chinese Study CC-149 Shanghai
PharmaSUG2025paper·China·Coder's Corner (CC)
Enhancing Error Handling in R: Leveraging cli and rlang Packages CC-164 Shanghai
PharmaSUG2025paper·China·Coder's Corner (CC)
Development of an Automated Tool for Define.xml Generation and Review in Clinical Data Standardization CC-190 Shanghai
PharmaSUG2025paper·US·Data Standards
Which ADaM Data Structure Is Most Appropriate? Gray Areas in BDS and OCCDS. DS-065
PharmaSUG2025paper·US·Data Standards
Multiple Imputation Techniques in the Context of ADaM Datasets DS-067
PharmaSUG2025paper·US·Data Standards
BDS Dataset with PARQUAL and PARQTYP Variables for Time-to-Safety Events Analysis DS-079
PharmaSUG2025paper·US·Data Standards
ADaM Pet Peeves: Things Programmers Do That Make Us Crazy DS-105
PharmaSUG2025paper·US·Data Standards
Impact of Drug Accountability on Drug Compliance and Dose Intensity in Clinical Trials DS-109