Mehta dataset

Mehta Trial

Mehta Trial

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))
  • Maintainer: Bettina Gruen
  • License: GPL (>= 2)
  • Last published: 2025-02-28

About the dataset

  • Number of rows: 44
  • Number of columns: 4
  • Class: data.frame

Column names and types

  • Response:integer
  • Total:integer
  • Drug:factor
  • Site:factor