param_beta

<p>Type II error rate, necessary for providing sample size calculations 
(e.g., <code><a rd-options="" href="/link/getSampleSizeMeans?package=rpact&version=3.1.0" data-mini-rdoc="rpact::getSampleSizeMeans">getSampleSizeMeans</a></code>), beta spending function designs, 
or optimum designs, default is <code>0.20</code>.</p>

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

param_beta function

<p>Type II error rate, necessary for providing sample size calculations 
(e.g., <code><a rd-options='' href='getSampleSizeMeans'>getSampleSizeMeans</a></code>), beta spending function designs, 
or optimum designs, default is <code>0.20</code>.</p>

param_beta: Parameter Description: Beta

Description

Arguments