PharmaSUG2020paper·US·Applications Development
Macro To Produce Sas®-Readable Table Of Content From Tlf Shells AD-106
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PharmaSUG2020paper·US·Applications Development
Chasing Master Data Interoperability: Facilitating Master Data Management Objectives Through CSV Control Tables that Contain Data Rules that Support SAS® and Python Data-Driven Software Design AD-114
PharmaSUG2020paper·US·Applications Development
A Novel Solution for Converting Case Report Form Data to SDTM using Configurable Transformations AD-130
PharmaSUG2020paper·US·Applications Development
MKADRGM: A Macro to Transform Drug-Level SDTM Data into Traceable, Regimen-Level ADaM Data Sets AD-146
PharmaSUG2020paper·US·Applications Development
Clinical Database Metadata Quality Control: Two Approaches using SAS and Python AD-171
PharmaSUG2020paper·US·Applications Development
Programming Patient Narratives Using Microsoft Word XML files AD-208
PharmaSUG2020paper·US·Applications Development
RStats: A R-Shiny application for statistical analysis AD-298
PharmaSUG2020paper·US·Applications Development
Using Data-Driven Python to Automate and Monitor SAS Jobs AD-308
PharmaSUG2020paper·US·Applications Development
Opening Doors for Automation with Python and REST: A SharePoint Example AD-341
PharmaSUG2020paper·US·Applications Development
A Tool to Organize SAS Programs, Output and More for a Clinical Study AD-347
PharmaSUG2020paper·US·Artificial Intelligence (Machine Learning)
Gradient Descent: Using SAS for Gradient Boosting AI-025
PharmaSUG2020paper·US·Artificial Intelligence (Machine Learning)
Pattern Detection for Monitoring Adverse Events in Clinical Trials – Using Real Time, Real World Data AI-058
PharmaSUG2020paper·US·Artificial Intelligence (Machine Learning)
How to let Machine Learn Clinical Data Review as it can Support Reshaping the Future of Clinical Data Cleaning Process AI-224
PharmaSUG2020paper·US·Artificial Intelligence (Machine Learning)
Automate your Safety tables using Artificial Intelligence & Machine Learning AI-242
PharmaSUG2020paper·US·Data Standards
Data Transformation: Best Practices for When to Transform Your Data DS-023
PharmaSUG2020paper·US·Data Standards
Ensuring Consistency Across CDISC Dataset Programming Processes DS-031
PharmaSUG2020paper·US·Data Standards
Standardised MedDRA Queries (SMQs): Programmers Approach from Statistical Analysis Plan (SAP) to Analysis Dataset and Reporting DS-080