PharmaSUG2025paper·US·Statistics and Analytics
An Introduction to Obtaining Test Statistics and P-Values from SAS® and R for Clinical Reporting SA-130
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PharmaSUG2025paper·US·Statistics and Analytics
The Allowable Total Difference Zone: A construction method using the ATDzone SAS® Macro SA-168
PharmaSUG2025paper·US·Statistics and Analytics
Super Learner for Predictive Modeling and Causal Analysis SA-171
PharmaSUG2025paper·US·Statistics and Analytics
Calculating exact posterior probabilities and credible intervals from Bayesian borrowing robust mixture priors for binary, count and continuous outcomes in R and SAS SA-173
PharmaSUG2025paper·US·Statistics and Analytics
“Leveraging Python for Statistical Analysis in Public Health: Techniques and Visualizations for Life Sciences Professionals” SA-183
PharmaSUG2025paper·US·Statistics and Analytics
Deciphering Exposure-Response Analysis Datasets: A Programmer’s Perspective for Oncology Studies SA-189
PharmaSUG2025paper·US·Statistics and Analytics
A SAS Macro Calculating Confidence Intervals of the Difference in Binomial Proportions from Stratified Analysis using the Miettinen & Nurminen Method with Cochran-Mantel-Haenszel Weights SA-198
PharmaSUG2025paper·US·Statistics and Analytics
Programming Perspectives for Efficient and Accurate C-QTc Analysis SA-205
PharmaSUG2025paper·US·Statistics and Analytics
Clopper Pearson CI? get your data ready for it! SA-207
PharmaSUG2025paper·US·Statistics and Analytics
Mastering the Maze of Oncology Endpoints: A Unified SAS Approach for Randomized Controlled Trial Analysis SA-231
PharmaSUG2025paper·US·Statistics and Analytics
Practical considerations for Intercurrent Events and Multiple Imputation SA-245
PharmaSUG2025paper·US·Statistics and Analytics
Handling Missing Data in External Control Arms: Best Practices, Recommendations, and SAS Code Examples SA-267
PharmaSUG2025paper·US·Statistics and Analytics
Simulating Optimal Sample Sizes for Canine Jaws Using SAS® SA-270
PharmaSUG2025paper·US·Statistics and Analytics
Roadmap to Efficacy Analysis for Early Phase Oncology studies SA-287
PharmaSUG2025paper·US·Statistics and Analytics
Efficacy Endpoints Related to CNS in Oncology Studies within ADaM SA-321
PharmaSUG2025paper·US·Statistics and Analytics
Implementation of the inverse probability of censoring weighting (IPCW) Model in Oncology Trials SA-343
PharmaSUG2025paper·US·Statistics and Analytics
Incorporating Frailty into Time-to-Event Analysis: A Practical Approach with R frailtypack SA-368
PharmaSUG2025paper·US·Statistics and Analytics
Landmark Analysis: A Method for Accurate Prediction of Time-Dependent Clinical Risks and Their Effect on Patient Outcomes SA-372
PharmaSUG2025paper·China·Statistics and Analytics (SA)
Implementing Multiple Imputation and ANCOVA with Rubin's Rule in R: A Comparative Study with SAS SA-105 Shanghai
PharmaSUG2025paper·China·Statistics and Analytics (SA)
Statistical Methods and Programming Practice of Study-size Adjusted Risk Difference in Safety Pooling SA-110 Shanghai