This function reruns the desired wintime package method on a given number of bootstrap samples. This resampling method is recommended for all pairwise wintime methods including Win time ratio (WTR), Restricted win time ratio (RWTR), and Pairwise win time (PWT). This function is also recommended for the EWTR_composite max test (MAX).
bootstrap(
type,
rmst_restriction,
model,
n,
m,
Time,
Delta,
trt,
cov,
z_ewtr,
z_comp,
resample_num,
seed
)A vector of length resample_num containing the calculated treatment effect estimates (for type='max' these are z-statistics) for each bootstrap.
A string value indicating the wintime package method that will run with resampling.
The RMT cutoff value (days).
A string value indicating the model used on observed data ('markov' or 'km').
The total number of trial participants.
The number of events in the hierarchy.
A m x n matrix of event times (days). Rows should represent events and columns should represent participants. Event rows should be in increasing order of clinical severity.
A m x n matrix of event indicators. Rows should represent events and columns should represent participants. Event rows should be in increasing order of clinical severity.
A numeric vector of treatment arm indicators (1 for treatment, 0 for control).
A n x p matrix of covariate values, where p is the number of covariates. Rows should represent participants and columns should represent covariate values.
The Z-statistic of EWTR.
The Z-statistic of the composite event approach.
The number of desired bootstraps.
The seed used for random number generation.