PharmaSUG2022paper·US·Submission StandardsExplanations in the Study Data Reviewer’s Guide: How’s It Going? SS-152See metadata
PharmaSUG2022paper·US·Submission StandardsA Standardized Reviewer’s Guide for Clinical Integrated Analysis Data SS-154See metadata
PharmaSUG2022paper·US·Submission StandardsA Practical Approach to Preparing Documentation for Clinical Registries SS-158See metadata
PharmaSUG2022paper·US·e-PostersUsing SAS ® to Create a Build Combinations Tool to Support Modularity EP-032See metadata
PharmaSUG2022paper·US·e-PostersSponsor-defined Controlled Terminologies: A Tiny Key to a Big Door EP-037See metadata
PharmaSUG2022paper·US·e-PostersUnravel the mystery around NONMEM data sets for statistical programmers EP-063See metadata
PharmaSUG2022paper·US·e-PostersBegin with the End in Mind: eCOA data from collection to analysis EP-068See metadata
PharmaSUG2022paper·US·e-PostersAutomation of Clinical Data extracts using Cloud Applications EP-156See metadata
PharmaSUG2022paper·US·e-PostersAutomation using SAS Makes it Easy to Monitor Dynamic Data in Clinical Trial EP-176See metadata
PharmaSUG SDE2022paper·Japan·Effective Data Visualization for Decision-MakingBuilding Business Intelligence Using Sales and Marketing Data and its Utilization 01 Asia-Pacific · Tokyo, JapanSee metadata
PharmaSUG SDE2022paper·Japan·Effective Data Visualization for Decision-MakingIntroduction to Real-World Data in Japan 02 Asia-Pacific · Tokyo, JapanSee metadata
PharmaSUG SDE2022paper·Japan·Effective Data Visualization for Decision-MakingRole of Visualization in Supporting Efficient Workflows across the Life Cycle of Drug Development 03 Asia-Pacific · Tokyo, JapanSee metadata
PharmaSUG SDE2022paper·Japan·Effective Data Visualization for Decision-MakingImplementation of Raincloud Plot with SAS and Its Use for Clinical Trial Data 04 Asia-Pacific · Tokyo, JapanSee metadata
PharmaSUG SDE2022paper·Japan·Effective Data Visualization for Decision-MakingLeveraging of Data Visualization in Eli Lilly 05 Asia-Pacific · Tokyo, JapanSee metadata
PharmaSUG SDE2022paper·Japan·Effective Data Visualization for Decision-MakingPMS Data Visualization by Spotfire 06 Asia-Pacific · Tokyo, JapanSee metadata
PharmaSUG SDE2022paper·Japan·Effective Data Visualization for Decision-MakingIntroduction of BEAMS (Business Efficiency Acceleration for Medical Data Review with Spotfire) Project 07 Asia-Pacific · Tokyo, JapanSee metadata
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data AnalyticsADaM Automation Roadblocks 01 North America · RTP, NCSee metadata
PharmaSUG SDE2022presentation·NC·Exploring the Next Phase of Data AnalyticsCDISC SDTM IG v3.4: Subject Visits 02 North America · RTP, NCSee metadata