betablocker {flexmix} | R Documentation |
Clinical Trial of Beta-Blockers
Description
22-centre clinical trial of beta-blockers for reducing mortality after myocardial infarction.
Usage
data("betablocker")
Format
A data frame with 44 observations on the following 4 variables.
- Deaths
Number of deaths.
- Total
Total number of patients.
- Center
Number of clinical centre.
- Treatment
A factor with levels
Control
andTreated
.
Source
G. McLachlan and D. Peel. Finite Mixture Models, 2000. John Wiley and Sons Inc. http://www.maths.uq.edu.au/~gjm/DATA/mmdata.html
References
M. Aitkin. Meta-analysis by random effect modelling in generalized linear models. Statistics in Medicine, 18, 2343–2351, 1999.
S. Yusuf, R. Peto, J. Lewis, R. Collins and P. Sleight. Beta blockade during and after myocardial infarction: an overview of the randomized trials. Progress in Cardiovascular Diseases, 27, 335–371, 1985.
Examples
data("betablocker", package = "flexmix")
betaMix <- initFlexmix(cbind(Deaths, Total - Deaths) ~ 1 | Center,
data = betablocker, k = 3, nrep = 5,
model = FLXMRglmfix(family = "binomial",
fixed = ~Treatment))
[Package flexmix version 2.3-19 Index]