mpe.t.test: Intersection-Union t-Test for Testing Multiple Co-Primary...

In MKinfer: Inferential Statistics

Intersection-Union t-Test for Testing Multiple Co-Primary Endpoints

Description

The function computes the intersection-union t-test.

Usage

mpe.t.test(X, Y, conf.level = 0.975)

Arguments

X	matrix with observations of group 1 in rows
Y	matrix with obersvations of group 2 in rows
conf.level	confidence level of the interval.

Details

The function computes the intersection-union t-test. The implementation is based on the formulas given in the references below.

The null hypothesis reads \mu_{Tk}-\mu_{Ck}\le 0 for at least one k\in\{1,\ldots,K\} where Tk is treatment k, Ck is control k and K is the number of co-primary endpointss (i.e. number of columns of X and Y).

Value

Object of class "mpe.test".

Note

The function first appeared in package mpe, which is now archived on CRAN.

Author(s)

Srinath Kolampally, Matthias Kohl [e-mail]

References

Sugimoto, T. and Sozu, T. and Hamasaki, T. (2012). A convenient formula for sample size calculations in clinical trials with multiple co-primary continuous endpoints. Pharmaceut. Statist., 11: 118-128. doi:10.1002/pst.505

Sozu, T. and Sugimoto, T. and Hamasaki, T. and Evans, S.R. (2015). Sample Size Determination in Clinical Trials with Multiple Endpoints. Springer Briefs in Statistics, ISBN 978-3-319-22005-5.

See Also

mpe.z.test

Examples

library(mvtnorm)
delta <- c(0.25, 0.5)
Sigma <- matrix(c(1, 0.75, 0.75, 1), ncol = 2)
n <- 50
X <- rmvnorm(n=n, mean = delta, sigma = Sigma)
Y <- rmvnorm(n=n, mean = rep(0, length(delta)), sigma = Sigma)
mpe.t.test(X = X, Y = Y)

MKinfer documentation built on May 29, 2024, 5:13 a.m.