MedianaDesigner: Power and Sample Size Calculations for Clinical Trials (original) (raw)
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 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). Traditional trials with cluster-randomized designs (experimental module).
| Version: | 0.13 |
|---|---|
| Depends: | R (≥ 3.1.2) |
| Imports: | Rcpp (≥ 0.12.10), RcppNumerical, methods, officer, flextable, devEMF, mvtnorm, shiny, shinydashboard, shinyMatrix, foreach, parallel, doParallel, MASS, rootSolve, lme4, lmerTest, pbkrtest |
| LinkingTo: | Rcpp, RcppEigen, RcppNumerical |
| Suggests: | testthat, doRNG |
| Published: | 2023-08-28 |
| DOI: | 10.32614/CRAN.package.MedianaDesigner |
| Author: | Alex Dmitrienko [aut, cre] |
| Maintainer: | Alex Dmitrienko |
| BugReports: | https://github.com/medianasoft/MedianaDesigner/issues |
| License: | GPL-3 |
| URL: | https://github.com/medianasoft/MedianaDesigner |
| NeedsCompilation: | yes |
| Materials: | |
| CRAN checks: | MedianaDesigner results |
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