R: Mehta Trial

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. 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 2.3-14 Index]