param_beta

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_beta function

<dl><dt>beta</dt>
<dd>Type II error rate, necessary for providing sample size calculations
(e.g., <code>getSampleSizeMeans()</code>), beta spending function designs,
or optimum designs, default is <code>0.20</code>. Must be a positive numeric of length 1.</dd></dl>

Arguments

Parameter Description: Beta — param_beta

<dl>

<dt>beta</dt>
<dd>Type II error rate, necessary for providing sample size calculations
(e.g., <code>getSampleSizeMeans()</code>), beta spending function designs,
or optimum designs, default is <code>0.20</code>. Must be a positive numeric of length 1.</dd>

</dl>

Parameter Description: Beta