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MedianaDesigner  

Power and Sample Size Calculations for Clinical Trials
View on CRAN: Click here


Download and install MedianaDesigner package within the R console
Install from CRAN:
install.packages("MedianaDesigner")

Install from Github:
library("remotes")
install_github("cran/MedianaDesigner")

Install by package version:
library("remotes")
install_version("MedianaDesigner", "0.13")



Attach the package and use:
library("MedianaDesigner")
Maintained by
Alex Dmitrienko
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-08
Latest Update: 2023-08-28
Description:
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).
How to cite:
Alex Dmitrienko (2021). MedianaDesigner: Power and Sample Size Calculations for Clinical Trials. R package version 0.13, https://cran.r-project.org/web/packages/MedianaDesigner. Accessed 01 Jul. 2026.
Previous versions and publish date:
0.2.2 (2021-07-28 13:20), 0.2.3 (2021-08-16 17:30), 0.2 (2021-07-08 09:50), 0.3 (2021-09-20 16:00), 0.4 (2021-10-06 01:20), 0.5 (2021-10-11 09:30), 0.6 (2021-11-01 17:00), 0.7 (2021-12-19 15:32), 0.8 (2022-06-24 18:00), 0.9 (2022-10-28 17:52), 0.10 (2022-11-01 15:16), 0.11 (2022-12-16 00:40), 0.12 (2023-01-12 14:50)
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Complete documentation for MedianaDesigner
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