mc.test.chisq {CorrBin} | R Documentation |
mc.test.chisq
tests whether thee assumption of reproducibility is violated
in the data.
mc.test.chisq(cbdata)
cbdata |
a CBData object |
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.
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:
|
Aniko Szabo
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
CBData
for constructing a CBData object, mc.est
for estimating the distribution
under marginal compatibility.
data(shelltox) mc.test.chisq(shelltox)