data_not_PH

<p>This dataframe represents a simulation of a study where the three survival curves
cross each other.</p>

datasets

Tests of comparison of two or more survival curves. Allows for
comparison of more than two survival curves whether the proportional
hazards hypothesis is verified or not.

Hugo MINA PASSI

MSCCT

Multiple Survival Crossing Curves Tests

Olayidé BOUSSARI

data_not_PH function


<div class="section" id="data-not-ph">
<h3><code>data_not_PH</code></h3><p></p><p>
</p><p>A data frame with 600 rows and 3 columns:</p><dl>
<dt>time</dt>
<dd><p>Time of events in months with truncation at 60 months</p></dd><p></p><p><dt>status</dt>
<dd><p>Indicator of censorship. 1 denotes an event, 0 denotes a censor</p></dd></p><p><dt>arm</dt>
<dd><p>Integer from 0 to 2. Indicates the group the patient belongs to</p></dd></p><p>
</p></dl><p></p><p></p></div>


Format

A simulation with three groups without the Proportional Hazards hypothesis — data_not_PH


<div class='section' id='data-not-ph'>
<h3><code>data_not_PH</code></h3>


<p>A data frame with 600 rows and 3 columns:</p><dl>
<dt>time</dt>
<dd><p>Time of events in months with truncation at 60 months</p></dd>

<dt>status</dt>
<dd><p>Indicator of censorship. 1 denotes an event, 0 denotes a censor</p></dd>

<dt>arm</dt>
<dd><p>Integer from 0 to 2. Indicates the group the patient belongs to</p></dd>


</dl>

</div>


data_not_PH: A simulation with three groups without the Proportional Hazards hypothesis

Description

Usage

Arguments

Format

`data_not_PH`