mc.test.chisq {CorrBin}R Documentation

Test the assumption of reproducibility

Description

mc.test.chisq tests whether thee assumption of reproducibility is violated in the data.

Usage

mc.test.chisq(cbdata)

Arguments

cbdata a CBData object

Details

The assumption of marginal compatibility (AKA interpretability) implies that the marginal probability of response does not depend on clustersize. Stefanescu and Turnbull (2003), and Pang and Kuk (2007) developed a Cochran-Armitage type test for trend in the marginal probability of success as a function of the clustersize. mc.test.chisq implements a generalization of that test extending it to multiple treatment groups.

Value

A list with the following components:

overall.chi the test statistic; sum of the statistics for each group
overall.p p-value of the test
individual a list of the results of the test applied to each group separately:
    chi.sq
    the test statistic for the group
    p
    p-value for the group

Author(s)

Aniko Szabo

References

Stefanescu, C. & Turnbull, B. W. (2003) Likelihood inference for exchangeable binary data with varying cluster sizes. Biometrics, 59, 18-24

Pang, Z. & Kuk, A. (2007) Test of marginal compatibility and smoothing methods for exchangeable binary data with unequal cluster sizes. Biometrics, 63, 218-227

See Also

CBData for constructing a CBData object, mc.est for estimating the distribution under marginal compatibility.

Examples

data(shelltox)
mc.test.chisq(shelltox)

[Package CorrBin version 1.02 Index]