StageResultsSurvival

Class for stage results 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

StageResultsSurvival function

<dl>
<dt><code>stages</code></dt>
<dd>The stage numbers of the trial. Is an integer vector of length <code>kMax</code>.</dd></dl>
<dt><code>testStatistics</code></dt>
<dd>The stage-wise test statistics. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>overallTestStatistics</code></dt>
<dd>The overall i.e. cumulated test statistics. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>pValues</code></dt>
<dd>The stage-wise p-values. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>overallPValues</code></dt>
<dd>The overall i.e. cumulated p-values. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>combInverseNormal</code></dt>
<dd>The stage-wise test statistics for the inverse normal test. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>combFisher</code></dt>
<dd>Test statistic for Fisher's combination test. H~0~</dd>
<dt><code>effectSizes</code></dt>
<dd>The stage-wise effect sizes. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>testActions</code></dt>
<dd>The action drawn from test result.</dd>
<dt><code>weightsFisher</code></dt>
<dd>The weights for Fisher's combination test. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>weightsFisher</code></dt>
<dd>The weights for inverse normal statistic.. Is a numeric vector of length <code>kMax</code>.</dd>
<dt><code>normalApproximation</code></dt>
<dd>Logical. Describes if a normal approximation was used when calculating p-values.
Default for means is <code>FALSE</code> and <code>TRUE</code> for rates and hazard ratio.</dd>

Fields

Stage Results of Survival Data — StageResultsSurvival

<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>testStatistics</code></dt>
<dd>The stage-wise test statistics. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>overallTestStatistics</code></dt>
<dd>The overall i.e. cumulated test statistics. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>pValues</code></dt>
<dd>The stage-wise p-values. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>overallPValues</code></dt>
<dd>The overall i.e. cumulated p-values. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>combInverseNormal</code></dt>
<dd>The stage-wise test statistics for the inverse normal test. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>combFisher</code></dt>
<dd>Test statistic for Fisher's combination test. H~0~</dd>


<dt><code>effectSizes</code></dt>
<dd>The stage-wise effect sizes. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>testActions</code></dt>
<dd>The action drawn from test result.</dd>


<dt><code>weightsFisher</code></dt>
<dd>The weights for Fisher's combination test. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>weightsFisher</code></dt>
<dd>The weights for inverse normal statistic.. Is a numeric vector of length <code>kMax</code>.</dd>


<dt><code>normalApproximation</code></dt>
<dd>Logical. Describes if a normal approximation was used when calculating p-values.
Default for means is <code>FALSE</code> and <code>TRUE</code> for rates and hazard ratio.</dd>


</dl>

StageResultsSurvival: Stage Results of Survival Data

Description

Arguments

Fields

Details