param_conditionalPower

Parameter Description: Conditional Power

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

param_conditionalPower function

<dl><dt>conditionalPower</dt>
<dd>The conditional power for the subsequent stage
under which the sample size recalculation is performed. Must be a positive numeric of length 1.</dd></dl>

Arguments

Parameter Description: Conditional Power — param_conditionalPower

<dl>

<dt>conditionalPower</dt>
<dd>The conditional power for the subsequent stage
under which the sample size recalculation is performed. Must be a positive numeric of length 1.</dd>

</dl>