setKM

This function creates the time_km and delta_km matrices used for wintime::km().

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

setKM function

<dl><dt>n</dt>
<dd>The total number of trial participants.</dd>
<dt>m</dt>
<dd>The number of events in the hierarchy.</dd>
<dt>time</dt>
<dd>The row reversal of the Time matrix (days) (created inside wintime::km()).</dd>
<dt>delta</dt>
<dd>The row reversal of the Delta matrix (created inside wintime::km()).</dd></dl>

Arguments

Set event times and indicators used in the Kaplan-Meier survival curve calculation — setKM

<dl>

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


<dt>m</dt>
<dd>The number of events in the hierarchy.</dd>


<dt>time</dt>
<dd>The row reversal of the Time matrix (days) (created inside wintime::km()).</dd>


<dt>delta</dt>
<dd>The row reversal of the Delta matrix (created inside wintime::km()).</dd>

</dl>

setKM: Set event times and indicators used in the Kaplan-Meier survival curve calculation

Description

Usage

Value

Arguments