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wintime  

Win Time Methods for Time-to-Event Data in Clinical Trials
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]
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 02 Apr. 2025.
Previous versions and publish date:
0.1.0 (2024-09-02 14:00), 0.2.0 (2024-09-20 19:20)
Other packages that cited wintime R package
View wintime citation profile
Other R packages that wintime depends, imports, suggests or enhances
Complete documentation for wintime
Functions, R codes and Examples using the wintime R package
Full wintime package functions and examples
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