wintime Package Guide | Installation | Load Required Packages | Example Data | wintime Function | Win time ratio (wtr) | Restricted win time ratio (rwtr) | Pairwise win time (pwt) | Expected win time against reference (ewtr) | Expected win time (ewt) | EWTR-composite max test (max) | Restricted mean survival in favor of treatment (rmt) | Resampling | ewt with 10 Resamples | wtr with 5 Resamples | Resampleing Cont. | Survival Models | Model Functions | Parameters | markov Function | km Function
Package: wintime 0.4.4
James Troendle
wintime: Win Time Methods for Time-to-Event Data in Clinical Trials
Performs an analysis of time-to-event clinical trial data using various "win time" methods, including 'ewt', 'ewtr', 'rmt', 'ewtp', 'rewtp', 'ewtpr', 'rewtpr', 'max', 'wtr', 'rwtr', 'pwt', and 'rpwt'. 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."
Authors:
wintime_0.4.4.tar.gz
wintime_0.4.4.tar.gz(r-4.7-any)wintime_0.4.4.tar.gz(r-4.6-any)
wintime_0.4.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
wintime/json (API)
| # Install 'wintime' in R: |
| install.packages('wintime', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:f7cdccda13. Checks:4 OK. Indexed: yes.
