param_effectMeasure

Parameter Description: Effect Measure

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

Till Jensen

Stephen Schueuerhuis

param_effectMeasure function

<dl><dt>effectMeasure</dt>
<dd>Criterion for treatment arm/population selection, either based on test statistic
(<code>"testStatistic"</code>) or effect estimate (difference for means and rates or ratio for survival) (<code>"effectEstimate"</code>),
default is <code>"effectEstimate"</code>.</dd></dl>

Arguments

Parameter Description: Effect Measure — param_effectMeasure

<dl>

<dt>effectMeasure</dt>
<dd>Criterion for treatment arm/population selection, either based on test statistic
(<code>"testStatistic"</code>) or effect estimate (difference for means and rates or ratio for survival) (<code>"effectEstimate"</code>),
default is <code>"effectEstimate"</code>.</dd>

</dl>