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><a rd-options="" href="/link/getAnalysisResults?package=rpact&version=3.1.1" data-mini-rdoc="rpact::getAnalysisResults">getAnalysisResults</a></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 rd-options="base" href="/link/data.frame?package=rpact&version=3.1.1&to=base" data-mini-rdoc="base::data.frame">data.frame</a></code> object.

Format

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><a rd-options='' href='getAnalysisResults'>getAnalysisResults</a></code>.

Stratified Enrichment Dataset of Means — dataEnrichmentMeansStratified

A <code><a rd-options='base' href='data.frame'>data.frame</a></code> object.

dataEnrichmentMeansStratified: Stratified Enrichment Dataset of Means

Description

Usage

Arguments

Format