COMP

This function fits a Cox Model to time-to-event data and calculates the z statistic. In the wintime package, this function is used for the
EWTR-composite max test (MAX) method.

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."

James Troendle

wintime

Win Time Methods for Time-to-Event Data in Clinical Trials

Samuel Lawrence

COMP function

<dl><dt>n</dt>
<dd>The total number of trial participants.</dd>
<dt>Time</dt>
<dd>A m x n matrix of event times (days), where m is the number of events in the hierarchy. Rows should represent events and columns
should represent participants. Event rows should be in increasing order of clinical severity.</dd>
<dt>Delta</dt>
<dd>A m x n matrix of event indicators, where m is the number of events in the hierarchy. Rows should represent events and
columns should represent participants. Event rows should be in increasing order of clinical severity.</dd>
<dt>cov</dt>
<dd>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.</dd>
<dt>trt</dt>
<dd>A vector of length n containing treatment arm indicators (1 for treatment, 0 for control).</dd></dl>

Arguments

Run composite analysis — COMP

<dl>

<dt>n</dt>
<dd>The total number of trial participants.</dd>


<dt>Time</dt>
<dd>A m x n matrix of event times (days), where m is the number of events in the hierarchy. Rows should represent events and columns
should represent participants. Event rows should be in increasing order of clinical severity.</dd>


<dt>Delta</dt>
<dd>A m x n matrix of event indicators, where m is the number of events in the hierarchy. Rows should represent events and
columns should represent participants. Event rows should be in increasing order of clinical severity.</dd>


<dt>cov</dt>
<dd>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.</dd>


<dt>trt</dt>
<dd>A vector of length n containing treatment arm indicators (1 for treatment, 0 for control).</dd>

</dl>

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COMP: Run composite analysis

Description

Usage

Value

Arguments