DatasetSurvival

Class for a dataset of survival data.

internal

Design and analysis of confirmatory adaptive clinical trials with continuous, binary, and survival endpoints according to the methods described in the monograph by Wassmer and Brannath (2016) <doi:10.1007/978-3-319-32562-0>. This includes classical group sequential as well as multi-stage adaptive hypotheses tests that are based on the combination testing principle.

Friedrich Pahlke

rpact

Confirmatory Adaptive Clinical Trial Design and Analysis

Gernot Wassmer

DatasetSurvival function

<dl>
<dt><code>groups</code></dt>
<dd>The group numbers. Is an integer vector of length number of stages times number of groups.</dd></dl>
<dt><code>stages</code></dt>
<dd>The stage numbers of the trial. Is an integer vector of length <code>kMax</code>.</dd>
<dt><code>overallEvents</code></dt>
<dd>The cumulative events.</dd>
<dt><code>overallAllocationRatios</code></dt>
<dd>The cumulative allocations ratios.</dd>
<dt><code>overallLogRanks</code></dt>
<dd>The overall logrank test statistics.</dd>
<dt><code>allocationRatios</code></dt>
<dd>The allocation ratios.</dd>
<dt><code>logRanks</code></dt>
<dd>The logrank test statistics.</dd>

Fields

Dataset of Survival Data — DatasetSurvival

<dl>
<dt><code>groups</code></dt>
<dd>The group numbers. Is an integer vector of length number of stages times number of groups.</dd>


<dt><code>stages</code></dt>
<dd>The stage numbers of the trial. Is an integer vector of length <code>kMax</code>.</dd>


<dt><code>overallEvents</code></dt>
<dd>The cumulative events.</dd>


<dt><code>overallAllocationRatios</code></dt>
<dd>The cumulative allocations ratios.</dd>


<dt><code>overallLogRanks</code></dt>
<dd>The overall logrank test statistics.</dd>


<dt><code>allocationRatios</code></dt>
<dd>The allocation ratios.</dd>


<dt><code>logRanks</code></dt>
<dd>The logrank test statistics.</dd>


</dl>

DatasetSurvival: Dataset of Survival Data

Description

Arguments

Fields

Details