perm: Resample using permutations

In wintime: Win Time Methods for Time-to-Event Data in Clinical Trials

Resample using permutations

Description

This function reruns the desired wintime package method on a given number of permutations. This resampling method is recommended for the Expected win time (EWT) and Restricted mean survival in favor of treatment (RMT) methods.

Usage

perm(
  type,
  rmst_restriction,
  model,
  n,
  m,
  Time,
  Delta,
  trt,
  cov,
  z_ewtr,
  z_comp,
  resample_num,
  seed
)

Arguments

type	A string value indicating the wintime package method that will run with resampling.
rmst_restriction	The RMT cutoff value (days).
model	A string value indicating the model used on observed data ('markov' or 'km').
n	The total number of trial participants.
m	The number of events in the hierarchy.
Time	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.
Delta	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.
trt	A numeric vector of treatment arm indicators (1 for treatment, 0 for control).
cov	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.
z_ewtr	The Z-statistic of EWTR.
z_comp	The Z-statistic of the composite event approach.
resample_num	The number of desired permutations.
seed	The seed used for random number generation.

Value

A vector of length resample_num containing the treatment effect estimates (for type='max' these are z-statistics) for each permutation.

wintime documentation built on Oct. 31, 2024, 5:10 p.m.