rPowerSampleSize-package: Sample Size Computation and Data Analysis in the context of...

In rPowerSampleSize: Sample Size Computations Controlling the Type-II Generalized Family-Wise Error Rate

Description

The package rPowerSampleSize has been developped in order to compute the sample size, and to analyse the data, in the context of multiple primary continuous endpoints in clinical trials. Two approaches are available for the decision rule “at least one significant endpoint among m”. All the procedures which correspond to this decision rule include 1m in the name of the function. An individual procedure based on Union-Intersection Procedure, and a global method based on multivariate linear model. This package for this decision rule contains four functions: two for the sample size determination (one for individual procedure, and one for a global method), and two for data analysis in order to resolve the multiple testing problems (one for individual procedure, and one for a global method). The sample size computation for the Bonferroni Procedure is also available. A generalisation of the first case is also available with a decision rule “at least r significant endpoint among the m primary endpoint”. The procedure which corresponds to this decision rule include rm in the name of the function. We have one functions here where we study the sample size computation.

Details

Package:	rPowerSampleSize
Type:	Package
Version:	1.0
Date:	2012-03-21
License:	GPL (>2)
LazyLoad:	yes

Author(s)

Pierre Lafaye de Micheaux, Benoit Liquet and Jeremie Riou Maintainer: Pierre Lafaye de Micheaux <[e-mail]>

rPowerSampleSize documentation built on May 2, 2019, 5:50 a.m.