Efficient Simulation-Based Power and Sample Size Calculations for a Broad Class of Late-Stage Clinical Trials

The following modules are included in the package: 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).


Reference manual

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0.3 by Alex Dmitrienko, 7 days ago


Report a bug at https://github.com/medianasoft/MedianaDesigner/issues

Browse source code at https://github.com/cran/MedianaDesigner

Authors: Alex Dmitrienko [aut, cre]

Documentation:   PDF Manual  

GPL-3 license

Imports Rcpp, RcppNumerical, officer, flextable, devEMF, mvtnorm, shiny, shinydashboard, shinyMatrix

Suggests testthat

Linking to Rcpp, RcppEigen, RcppNumerical

See at CRAN