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wintime
View on CRAN: Click
here
Download and install wintime package within the R console
Install from CRAN:
install.packages("wintime")
Install from Github:
library("remotes")
install_github("cran/wintime")
Install by package version:
library("remotes")
install_version("wintime", "0.3.0")
Attach the package and use:
library("wintime")
Maintained by
James Troendle
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.wintime . wintime results . wintime.pdf . wintime_vignette . wintime_0.3.0.tar.gz . wintime_0.3.0.zip . wintime_0.3.0.zip . wintime_0.3.0.zip . wintime_0.3.0.tgz . wintime_0.3.0.tgz . wintime_0.3.0.tgz . wintime_0.3.0.tgz . wintime archive . https://CRAN.R-project.org/package=wintime .
First Published: 2024-09-02
Latest Update: 2024-09-02
Description:
Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'max', 'wtr', 'rwtr', and 'pwt'. These methods are used to calculate and compare treatment effects on ordered composite endpoints. The package handles event times, event indicators, and treatment arm indicators and supports calculations on observed and resampled data. Detailed explanations of each method and usage examples are provided in "Use of win time for ordered composite endpoints in clinical trials," by Troendle et al. (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see the package documentation or the vignette titled "Introduction to wintime."
How to cite:
James Troendle (2024). wintime: Win Time Methods for Time-to-Event Data in Clinical Trials. R package version 0.3.0, https://cran.r-project.org/web/packages/wintime. Accessed 12 May. 2025.
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