For a 22-centre trial the number of responses and the total number of patients is reported for the control group and the group receiving a new drug.
data
data("Mehta")
Format
A data frame with 44 observations on the following 4 variables.
Response: Number of responses.
Total: Total number of observations.
Drug: A factor indicating treatment with levels New and Control.
Site: A factor indicating the site/centre.
Source
M. Aitkin. Meta-analysis by random effect modelling in generalized linear models. Statistics in Medicine, 18 , 2343--2351, 1999.
References
C.R. Mehta, N.R. Patel and P. Senchaudhuri. Importance sampling for estimating exact probabilities in permutational inference. Journal of the American Statistical Association, 83, 999--1005, 1988.
Examples
data("Mehta", package ="flexmix")mehtaMix <- initFlexmix(cbind(Response, Total-Response)~1|Site, data = Mehta, nrep =5, k =3, model = FLXMRglmfix(family ="binomial", fixed =~ Drug), control = list(minprior =0.04))