param_stratifiedAnalysis

Parameter Description: Stratified Analysis

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

Tobias Muetze

param_stratifiedAnalysis function

<dl><dt>stratifiedAnalysis</dt>
<dd>Logical. For enrichment designs, typically a stratified analysis should be chosen.
For testing rates, also a non-stratified analysis based on overall data can be performed.
For survival data, only a stratified analysis is possible (see Brannath et al., 2009),
default is <code>TRUE</code>.</dd></dl>

Arguments

Parameter Description: Stratified Analysis — param_stratifiedAnalysis

<dl>

<dt>stratifiedAnalysis</dt>
<dd>Logical. For enrichment designs, typically a stratified analysis should be chosen.
For testing rates, also a non-stratified analysis based on overall data can be performed.
For survival data, only a stratified analysis is possible (see Brannath et al., 2009),
default is <code>TRUE</code>.</dd>

</dl>

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param_stratifiedAnalysis: Parameter Description: Stratified Analysis

Description

Arguments