Mehta {flexmix} | R Documentation |
Mehta Trial
Description
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.
Usage
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
andControl
.- 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))
[Package flexmix version 2.3-19 Index]