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:
3.7.0
Depends:
R (≥ 3.5.0)
Imports:
dplyr (≥ 1.1.0),
ggplot2 (≥ 3.1.1), graphics,
gt,
magrittr, methods,
r2rtf,
rlang, stats,
tibble,
tidyr, tools,
xtable
Suggests:
covr,
data.table,
gridExtra,
kableExtra,
knitr,
mvtnorm,
rmarkdown,
scales,
testthat, utils,
vdiffr
Published:
2025年08月25日
Author:
Keaven Anderson [aut, cre],
Merck & Co., Inc., Rahway, NJ, USA and its affiliates
ROR ID [cph]
Maintainer:
Keaven Anderson <keaven_anderson at merck.com>
NeedsCompilation:
yes
Documentation:
Vignettes:
Conditional error spending functions (
source,
R code)
Conditional power and conditional error (
source,
R code)
A gentle introduction to group sequential design (
source,
R code)
Graphical testing for group sequential design (
source)
A cure model calendar-based design (
source,
R code)
Spending function overview (
source,
R code)
Overview of survival endpoint design (
source,
R code)
Vaccine efficacy trial design (
source,
R code)
Binomial SPRT (
source,
R code)
Binomial two arm trial design and analysis (
source,
R code)
gsDesign package overview (
source,
R code)
Basic time-to-event group sequential design using gsSurv (
source,
R code)
Multiplicity graphs (
source)
Two-sample normal sample size (
source,
R code)
Integer sample size and event counts (
source,
R code)
Downloads:
Reverse dependencies:
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