Calculates the state space probabilities using a Kaplan-Meier model (recommended) or a Markov model. This function uses these probabilities
to compare both arms and calculate the expected win time of the treatment arm.

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

EWT function

<dl><dt>m</dt>
<dd>The number of events in the hierarchy.</dd>
<dt>dist_state0</dt>
<dd>A matrix of control arm state probabilities (returned from wintime::km() or wintime::markov()).</dd>
<dt>dist_state1</dt>
<dd>A matrix of treatment arm state probabilities (returned from wintime::km() or wintime::markov()).</dd>
<dt>unique_event_times0</dt>
<dd>A vector of unique control arm event times (days) (returned from wintime::km() or wintime::markov()).</dd>
<dt>unique_event_times1</dt>
<dd>A vector of unique treatment arm event times (days) (returned from wintime::km() or wintime::markov()).</dd>
<dt>nunique_event_times0</dt>
<dd>The number of unique control arm event times (returned from wintime::km() or wintime::markov()).</dd>
<dt>nunique_event_times1</dt>
<dd>The number of unique treatment arm event times (returned from wintime::km() or wintime::markov()).</dd></dl>

Arguments

Expected win time — EWT

<dl>

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


<dt>dist_state0</dt>
<dd>A matrix of control arm state probabilities (returned from wintime::km() or wintime::markov()).</dd>


<dt>dist_state1</dt>
<dd>A matrix of treatment arm state probabilities (returned from wintime::km() or wintime::markov()).</dd>


<dt>unique_event_times0</dt>
<dd>A vector of unique control arm event times (days) (returned from wintime::km() or wintime::markov()).</dd>


<dt>unique_event_times1</dt>
<dd>A vector of unique treatment arm event times (days) (returned from wintime::km() or wintime::markov()).</dd>


<dt>nunique_event_times0</dt>
<dd>The number of unique control arm event times (returned from wintime::km() or wintime::markov()).</dd>


<dt>nunique_event_times1</dt>
<dd>The number of unique treatment arm event times (returned from wintime::km() or wintime::markov()).</dd>

</dl>

EWT: Expected win time

Description

Usage

Value

Arguments