gsDesign: Group Sequential Design

Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.

Version: 3.4.0
Depends: R (≥ 3.5.0)
Imports: dplyr, ggplot2 (≥ 0.9.2), graphics, magrittr, methods, rlang, stats, tidyr, tools, xtable
Suggests: covr, gridExtra, gt, kableExtra, knitr, mvtnorm, ragg, rmarkdown, scales, testthat, tibble, utils
Published: 2022-10-12
Author: Keaven Anderson [aut, cre]
Maintainer: Keaven Anderson <keaven_anderson at>
License: GPL (≥ 3)
Copyright: Copyright 2010, Merck Research Laboratories
NeedsCompilation: yes
Materials: README NEWS
In views: ExperimentalDesign
CRAN checks: gsDesign results


Reference manual: gsDesign.pdf
Vignettes: Graphical testing for group sequential design
A cure model calendar-based design
Overview of survival endpoint design
Vaccine efficacy trial design
Basic time-to-event group sequential design using gsSurv
Multiplicity graphs
Two-sample normal sample size


Package source: gsDesign_3.4.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): gsDesign_3.4.0.tgz, r-oldrel (arm64): gsDesign_3.4.0.tgz, r-release (x86_64): gsDesign_3.4.0.tgz, r-oldrel (x86_64): gsDesign_3.4.0.tgz
Old sources: gsDesign archive

Reverse dependencies:

Reverse depends: gsbDesign
Reverse imports: BayesOrdDesign
Reverse suggests: ADCT, gMCPLite, gscounts, ph2bye, ph2mult


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