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` and `Control`.
Site
  A factor indicating the site/centre.

### Source

M. Aitkin (1999): Meta-analysis by random effect modelling in generalized linear models. Statistics in medicine 18, pages 2343-2351.

### References

C.R. Mehta, N.R. Patel and P. Senchaudhuri (1988): Importance sampling for estimating exact probabilities in permutational inference. Journal of the American Statistical Association 83, pages 999-1005.

### Examples

    data("Mehta")
    mehtaMix <- stepFlexmix(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 2.2-4 Index]