ClinicalTrials Clinical Trial Design, Monitoring, and Analysis Ed Zhang and Harry G. Zhang 2019-02-20

This task view gathers information on specific R packages for design, monitoring and analysis of data from clinical trials. It focuses on including packages for clinical trial design and monitoring in general plus data analysis packages for a specific type of design. Also, it gives a brief introduction to important packages for analyzing clinical trial data. Please refer to task views ExperimentalDesign, Survival, Pharmacokinetics for more details on these topics. Please feel free to e-mail me regarding new packages or major package updates.

Design and Monitoring

Design and Analysis

Analysis for Specific Designs

Analysis in General

Meta-Analysis

adaptTest AGSDest asd asypow bcrm binomSamSize blockrand clinfun clinsig coin conf.design CRM CRTSize dfcrm DoseFinding epibasix experiment FrF2 GroupSeq gsDesign HH Hmisc ldbounds MCPMod meta metafor metaLik metasens multcomp nppbib PIPS PowerTOST pwr PwrGSD qtlDesign rmeta samplesize speff2trial ssanv survival TEQR ThreeGroups TrialSize clusterPower dfped dfpk ewoc gsbDesign InformativeCensoring Mediana ThreeArmedTrials ExperimentalDesign Survival Pharmacokinetics Meta-analysis Regulatory Compliance and Validation Issues (A Guidance Document for the Use of R in Regulated Clinical Trial Environments)