PharmaSUG2019paper·US·Statistics and AnalyticsSAS® V9.4 MNAR statement for multiple imputations for missing not at random in longitudinal clinical trials ST-103See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsApplication of R Functions in SAS to Estimate Dose Limiting Toxicity Rates for Early Oncology Dose Finding ST-149See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsExperiences in Building CDISC Compliant ADaM Dataset to Support Multiple Imputation Analysis for Clinical Trials ST-160See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsPractical Perspective in Sample Size Determination ST-176See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsCluster Analysis – What it is and How to use it ST-183See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsStatistical Assurance in SAS: An Introduction and User’s Guide ST-213See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsEnhancing Randomization Methodology Decision-Making with SAS Simulations ST-259See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsApplication of Criterion I2 in Clinical Trials Using SAS® ST-314See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsPROC MIXED: Calculate Correlation Coefficients in the Presence of Repeated Measurements ST-321See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsMachine Learning Approaches to Identify Rare Diseases ST-325See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsAn Introduction to the Process of Improving a Neural Network ST-339See metadata
PharmaSUG2019paper·US·Statistics and AnalyticsComparing SAS® Viya® and SAS® 9.4: How Their Features Complement Each Other ST-348See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesAvoiding Disaster: Manager’s Guide on How to Rescue a Failing Outsourced Project SI-017See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesGet to the Meat on Machine Learning SI-062See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesSHIONOGI Global SAS System Renewal Project – How to Improve Statistical Programming Platform SI-075See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesISS Challenges and Solutions for a Compound with Multiple Submissions in Parallel SI-099See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesSponsor oversight: Proof is in the documents SI-142See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesLessons Learned from Teaching 250+ Life Science Analytics (LSAF) Classes to Our Colleagues at Janssen Research and Development. SI-161See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesEmbedded Processes – evolving face of QUALITY in the world of Robotic Process Automation (RPA). SI-168See metadata
PharmaSUG2019paper·US·Strategic Implementation, Business Administration, Support ResourcesIntegrating programming workflow into computing environments: A closer look SI-190See metadata