https://github.com/merck/wpgsd
Weighted parametric group sequential design
https://github.com/merck/wpgsd
Last synced: about 1 year ago
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Weighted parametric group sequential design
- Host: GitHub
- URL: https://github.com/merck/wpgsd
- Owner: Merck
- License: gpl-3.0
- Created: 2023-03-08T16:14:22.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-03-27T19:10:01.000Z (about 1 year ago)
- Last Synced: 2025-04-12T12:43:33.618Z (about 1 year ago)
- Language: R
- Homepage: https://merck.github.io/wpgsd/
- Size: 6.9 MB
- Stars: 2
- Watchers: 5
- Forks: 2
- Open Issues: 2
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
- License: LICENSE
- Citation: CITATION.cff
Awesome Lists containing this project
README
# wpgsd 
[](https://github.com/Merck/wpgsd/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/Merck/wpgsd?branch=main)
Weighted parametric group sequential design (WPGSD) allows one to take advantage
of the known correlation structure in constructing efficacy bounds to control
family-wise error rate (FWER) for a group sequential design. Here correlation
may be due to common observations in nested populations, due to common
observations in overlapping populations, or due to common observations
in the control arm.
## Installation
The easiest way to get wpgsd is to install from CRAN:
```r
install.packages("wpgsd")
```
Alternatively, to use a new feature or get a bug fix,
you can install the development version of wpgsd from GitHub:
```r
# install.packages("remotes")
remotes::install_github("Merck/wpgsd")
```
## Current limitations
There are some limitations that are currently being addressed.
Please use the package with caution in production environments.
- The current implementation may have limitations when handling more
complex scenarios beyond what has been demonstrated.
- The API is subject to potential breaking changes as it is currently
being reviewed and refactored.
- Further validation is needed to ensure the reliability of the package.
- More documentation is expected in the future releases.
## References
Anderson, K. M., Guo, Z., Zhao, J., & Sun, L. Z. (2022).
A unified framework for weighted parametric group sequential design.
_Biometrical Journal_, 64(7), 1219--1239.
BibTeX entry:
```
@article{anderson2022unified,
title = {A unified framework for weighted parametric group sequential design},
author = {Anderson, Keaven M and Guo, Zifang and Zhao, Jing and Sun, Linda Z},
journal = {Biometrical Journal},
volume = {64},
number = {7},
pages = {1219--1239},
year = {2022},
publisher = {Wiley Online Library}
}
```