PharmaSUG2026paper·China·Advanced Programming (AP)
TFL Generation Using R: Negative Binomial Regression Implementation and Comparison with SAS AP-155 Shanghai
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PharmaSUG2026paper·China·Advanced Programming (AP)
Validation Strategy for TLF AI-Generated Results AP-163 Shanghai
PharmaSUG2026paper·China·Advanced Programming (AP)
One Pipeline, Zero First Drafts: A Metadata-and-LLM Toolkit for Automated TFL Program Generation AP-169 Shanghai
PharmaSUG2026paper·China·Advanced Programming (AP)
Implementing a Single-Agent Bayesian Logistic Regression Model in SAS for Dose Escalation in Phase I Oncology Trials AP-216 Shanghai
PharmaSUG2026paper·US·Advanced Statistical Methods
Oncology Solid Tumor Subcutaneous vs Intravenous Late-stage Study Analysis AS-160
PharmaSUG2026paper·US·Advanced Statistical Methods
Quantifying Expression Divergence to Identify Candidate RNA-Binding Proteins Modulating Nonsense-Mediated Decay Across Human Tissues Using t-SNE Embedding Analysis AS-166
PharmaSUG2026paper·US·Advanced Statistical Methods
Implementing Dynamic Time Warping in SAS 9.4 Using PROC IML: An Alternative Approach for Time-Series Model Evaluation AS-190
PharmaSUG2026paper·US·Advanced Statistical Methods
Tipping Point Analysis: An Illustration of Sensitivity Analysis on Non-Administrative Censoring for Progression-Free Survival (PFS) AS-269
PharmaSUG2026paper·US·Advanced Statistical Methods
Machine Learning Models for Predicting Diabetes Using the PIMA Indians Dataset AS-315
PharmaSUG2026paper·US·Advanced Statistical Methods
Beyond Imitation: Selecting Synthetic Data with Purpose and Precision AS-359
PharmaSUG2026paper·US·Advanced Statistical Methods
A Faster Algorithm for the Finkelstein-Schoenfeld Test and Win Ratio in Hierarchical Composite Endpoint Analysis AS-365
PharmaSUG2026paper·US·Advanced Statistical Methods
Construction and Evaluation of External Controls Using Propensity Score Methods AS-413
PharmaSUG2026paper·US·Advanced Statistical Methods
Linear versus Log–Log Confidence Intervals for Kaplan–Meier Survival Estimates: Statistical Rationale and Practical Implementation using SAS 9.4 AS-422
PharmaSUG2026paper·China·Applications & Automations (AA)
Applying AI LLM to Reduce Manual Translation Workload in E-Data Package Submission AA-141 Shanghai
PharmaSUG2026paper·China·Applications & Automations (AA)
Breaking Silos via Recycled Metadata: TOC-Driven Automation for Standard Title and Footnote Generation AA-145 Shanghai
PharmaSUG2026paper·China·Applications & Automations (AA)
AI-Powered R Shiny Tool for Automated Footnote Comparison Across TLF Packages and Shells AA-148 Shanghai
PharmaSUG2026paper·China·Applications & Automations (AA)
A Practical Framework for Applying Generative AI in Clinical SAS Programming: A Human-in-the-Loop Approach for Chinese Clinical Studies AA-156 Shanghai
PharmaSUG2026paper·China·Applications & Automations (AA)
A Desktop Application for Automating PDT Management, SAS Execution, and Report Assembly AA-158 Shanghai
PharmaSUG2026paper·China·Applications & Automations (AA)
Demotion Trace-Lite: An application for demotion management AA-170 Shanghai
PharmaSUG2026paper·China·Applications & Automations (AA)
A Comprehensive R Shiny Application for Pharmacokinetic Analysis AA-181 Shanghai