DatasetMeans

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

DatasetMeans 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>sampleSizes</code></dt>
<dd>The sample sizes for each group and stage.
Is an integer vector of length number of stages times number of groups.</dd>
<dt><code>means</code></dt>
<dd>The means. Is a numeric vector of length number of stages times number of groups.</dd>
<dt><code>stDevs</code></dt>
<dd>The standard deviations. Is a numeric vector of length number of stages times number of groups.</dd>

Fields

Dataset of Means — DatasetMeans

<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>sampleSizes</code></dt>
<dd>The sample sizes for each group and stage.
Is an integer vector of length number of stages times number of groups.</dd>


<dt><code>means</code></dt>
<dd>The means. Is a numeric vector of length number of stages times number of groups.</dd>


<dt><code>stDevs</code></dt>
<dd>The standard deviations. Is a numeric vector of length number of stages times number of groups.</dd>


</dl>

DatasetMeans: Dataset of Means

Description

Arguments

Fields

Details