Breslow | R Documentation |
Patients suffering from simple or complex partial seizures were randomized to receive either the antiepileptic drug progabide or a placebo. At each of four successive postrandomization clinic visits, the number of seizures occuring over the previous two weeks was reported.
data(Breslow)
A data frame with 59 observations and the following 4 variables
The treatment: a factor with levels "placebo" and "progabide".
An integer value, the sum of seizures during the 1st, 2nd, 3rd and 4th two week periods.
Age divided by 10.
The eight-week baseline seizure count divided by 4.
Breslow, N. E., and Clayton, D. G. (1993), "Approximate Inference in Generalized Linear Mixed Models," Journal of the American Statistical Association, Vol. 88, No. 421, pp. 9-25.
Thrall, P. F., and Vail, S. C. (1990), "Some Covariance Models for Longitudinal Count Data With Overdispersion," Biometrics, Vol. 46, pp. 657-671.
library(robcbi)
data(Breslow)
y <- Breslow$sumY
x1 <- Breslow$Age10
x2 <- Breslow$Base4
x3 <- rep(0,length(y))
x3[Breslow$Trt=="progabide"] <- 1
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