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
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 <admitrienko at mediana.us> |
| BugReports: |
https://github.com/medianasoft/MedianaDesigner/issues |
| License: |
GPL-3 |
| URL: |
https://github.com/medianasoft/MedianaDesigner |
| NeedsCompilation: |
yes |
| Materials: |
ChangeLog |
| CRAN checks: |
MedianaDesigner results |
Documentation:
Downloads:
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