MedianaDesigner: Power and Sample Size Calculations for Clinical Trials
Efficient simulation-based power and sample size calculations are supported for a
broad class of late-stage clinical trials. The following modules are included in
Adaptive designs with data-driven sample size or event count re-estimation,
Adaptive designs with data-driven treatment selection,
Adaptive designs with data-driven population selection,
Optimal selection of a futility stopping rule,
Event prediction in event-driven trials,
Adaptive trials with response-adaptive randomization (experimental module),
Traditional trials with multiple objectives (experimental module).
Traditional trials with cluster-randomized designs (experimental module).
||R (≥ 3.1.2)
||Rcpp (≥ 0.12.10), RcppNumerical, methods, officer, flextable, devEMF, mvtnorm, shiny, shinydashboard, shinyMatrix, foreach, parallel, doParallel, MASS, rootSolve, lme4, lmerTest, pbkrtest
||Rcpp, RcppEigen, RcppNumerical
||Alex Dmitrienko [aut, cre]
||Alex Dmitrienko <admitrienko at mediana.us>
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