Win Time Methods for Time-to-Event Data in Clinical Trials
Win time ratio
Resample using bootstraps
Run composite analysis
Expected win time
Expected win time against trial population
Expected win time against trial population With redistribution to the ...
Expected win time against reference
Win time difference with time restriction
Helper functions for package functions
Fit a Kaplan-Meier model
Fit a Markov model
Resample using permutations
Pairwise win time
Expected win time against trial population
Time Restricted Expected win time against trial population With redist...
Restricted mean survival in favor of treatment
Time Restricted Pairwise win time
Restricted win time ratio
Created a sorted vector of event times
Set event times and indicators used in the Kaplan-Meier survival curve...
Run a win time calculation
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."