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>.

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

Daniel Sabanes Bove

Stephen Schueuerhuis

Tobias Muetze

dataEnrichmentMeansStratified function

A <code><a href="/link/data.frame?package=rpact&version=4.2.0" 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