PharmaSUG2022paper·China·4 Submission Standards and Regulatory InsightsHow to understand the basic requirements of AE analysis and build up an AE data flow that fits the analysis purpose SR-158 ShanghaiSee metadata
PharmaSUG2022paper·China·5 Data VisualizationSAS ® ODS Application of Interactive and Informative Clinical Trial Reports DV-111 ShanghaiSee metadata
PharmaSUG2022paper·China·5 Data VisualizationBeautify User Interfaces in Shiny APP DV-122 ShanghaiSee metadata
PharmaSUG2022paper·China·5 Data VisualizationComparison of the different methods to create multiple graphs on a page DV-123 ShanghaiSee metadata
PharmaSUG2022paper·China·5 Data VisualizationInteractive Data Visualization with Python Plotly DV-126 ShanghaiSee metadata
PharmaSUG2022paper·China·5 Data VisualizationUse R Shiny to Develop a User-Friendly Interactive Tool DV-130 ShanghaiSee metadata
PharmaSUG2022paper·China·6 Management and Career DevelopmentConversation about the Career Development for a Clinical Programmer-To Choose Their Own Way MA-103 ShanghaiSee metadata
PharmaSUG2022paper·China·6 Management and Career DevelopmentTeam Management and Staff Career Development of Statistical Programming in FSP Model MA-154 ShanghaiSee metadata
PharmaSUG2022paper·China·6 Management and Career DevelopmentReady for Your Next Interview in a State of Flux MA-155 ShanghaiSee metadata
PharmaSUG2022paper·China·6 Management and Career DevelopmentUpward Management from Programming Understanding or Perspective MA-157 ShanghaiSee metadata
PharmaSUG2022paper·China·7 StatisticsA Study of Two Rival Methods in Calculating Bayesian Predictive Probability ST-120 ShanghaiSee metadata
PharmaSUG2022paper·China·7 StatisticsHow to better understand iRECIST – a new wave in immunotherapeutic ST-124 ShanghaiSee metadata
PharmaSUG2022paper·China·7 StatisticsPrepare ADaM data sets for Objective Response Rate (ORR) and Progression-Free Survival (PFS) analysis in an efficient way ST-138 ShanghaiSee metadata
PharmaSUG2022paper·China·7 StatisticsConcentration‐QTc Assessment in Early Phase Trials ST-156 ShanghaiSee metadata
PharmaSUG2022paper·China·8 Real World Data/EvidenceRelationship and Distinction between RCT and RWS with Design of An Oncology Project as Example (以一项肿瘤研究的设计讨论看RCT与RWS的联系与区别) RW-106 ShanghaiSee metadata
PharmaSUG2022paper·China·8 Real World Data/EvidenceImplementation of CDISC in Real World Data RW-119 ShanghaiSee metadata
PharmaSUG2022paper·China·8 Real World Data/EvidenceReal World Data Standardization for an Ophthalmology Real World Study in China and Exploration of New eSource Solutions RW-146 ShanghaiSee metadata
PharmaSUG2022paper·China·8 Real World Data/EvidenceRetrospective Observational RWS In Oncology Based On EMR Data RW-159 ShanghaiSee metadata
PharmaSUG2022paper·China·9 Coder’s CornerRotate (Transpose) a Dataset as Appropriate in SAS CC-104 ShanghaiSee metadata