PHUSE2024·Connect·Data ScienceEOSS_MMRM V1.0: A Shiny Application for Estimand-Oriented Sample Size and Power Simulation Using MMRM Modelling AS03 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceA Tutorial for JFM Analysis in SAS for Modelling Recurrent Events and Death AS03 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceComparison of the Wilcoxon-Signed Rank Test with the Hodges-Lehmann Estimator in SAS, R and StatXact as Part of the PHUSE CAMIS Project AS04 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceSpline Analysis to Understand the Non-linear Relationship in Clinical Research AS05 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceServerless Shiny – Evolving Landscape of Clinical Analytics AS05 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceReal-World Application of Natural Language Processing: More Than Just Sentiment Analyses AS06 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceSAS PROC MI: Your Impeccable Tool for Enhanced Data Analysis Through the Lens of Multiple Imputation AS07 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceGenomic Biomarkers: Development of a Pipeline for Distilling Patient Mutation Status AS07 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceData Designer: Empowering Data Mapping, Manipulation and Analysis for Advanced Insights and Decision-Making AS08 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceUnveiling the Tipping Point: An In-Depth Analysis AS08 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data SciencePrincipal Component Analysis (PCA) – An Efficient Way of Variable Reduction Method and Its Application in Oncology Trials AS09 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceSPACE – GSK Biostatistics Continues its Journey to a New Frontier AS09 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceThe Prentice-Wilcoxon Test to Study Time to Healing for Split Face, Double Blind, Dermatology Clinical Trials AS10 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceTransCelerate’s Privacy Methodology for Cross-Industry Clinical Data Reuse AS10 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceAnalysis of Same Objective – Different SAS Procedures: How to Choose a SAS Procedure Wisely for a Statistical Analysis? AS12 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceChoosing the Right Tool: A Comparative Evaluation of SAS, R and Python for Sankey and Swimmer Plot Generation in Clinical Data DV01 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceGraphical Overview for Understanding, Planning and Execution of Statistical Programming Activities Using Neo4j DV01 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceAutomating TLG Generation for Clinical Trials Leveraging R/R Shiny Technology and Cross-Therapeutic Area Expertise DV02 US · BethesdaSee metadata
PHUSE2024·Connect·Data ScienceComparative Analysis: Creating Kaplan-Meier Plots Using SAS vs Python – A Step-by-Step Approach DV02 EU · StrasbourgSee metadata
PHUSE2024·Connect·Data ScienceEnhancing PK Data Exploration and Visualisation by Using an R Shiny Application DV03 US · BethesdaSee metadata