PharmaSUG2025paper·US·Solution Development
A SAS® System PowerShell macro to report directory-level metrics by Owner (programmer). SD-230
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Conference Papers
13,885
available papers
10
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Papers
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PharmaSUG2025paper·US·Solution Development
Enhancing Clarity and Efficiency in Clinical Statistical Programming Task Management: An Automated Integrated Task Reporting Solution with Excel and Python SD-257
PharmaSUG2025paper·US·Solution Development
A codelist generator for define.xml using a SAS Studio macro and RStudio function SD-334
PharmaSUG2025paper·US·Solution Development
Improve Your CRF Review Process: A Python-Based Approach to Capturing CRFs via Browser Automation SD-339
PharmaSUG2025paper·US·Solution Development
Unleash Your Coding Potential: SAS PRX Functions for Next-Level String Manipulations SD-400
PharmaSUG2025paper·US·Statistics and Analytics
Promising Zone Designs for Sample Size Re-estimation in Clinical Trials: Graphical Approaches Using SAS SA-004
PharmaSUG2025paper·US·Statistics and Analytics
Automating Superscript Display for Upper and Lower Limit of Quantification Values in Pharmacodynamic Tables SA-108
PharmaSUG2025paper·US·Statistics and Analytics
A Step-by-Step Guide to Calculating Relative Dose Intensity in Solid Tumor Studies SA-124
PharmaSUG2025paper·US·Statistics and Analytics
An Introduction to Obtaining Test Statistics and P-Values from SAS® and R for Clinical Reporting SA-130
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