dataEnrichmentMeansStratified

A dataset containing the sample sizes, means, and standard deviations of two groups.
Use <code>getDataset(dataEnrichmentMeansStratified)</code> to create a dataset object that can be processed by <code>getAnalysisResults</code>.

datasets

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

dataEnrichmentMeansStratified function

A <code><a href="/link/data.frame?package=rpact&version=3.3.0" data-mini-rdoc="rpact::data.frame">data.frame</a></code> object.

Format

Stratified Enrichment Dataset of Means — dataEnrichmentMeansStratified

A <code><a href='https://rdrr.io/r/base/data.frame.html'>data.frame</a></code> object.

dataEnrichmentMeansStratified: Stratified Enrichment Dataset of Means

Description

Usage

Arguments

Format