Learn R Programming

robcbi (version 1.1-2)

Breslow: Breslow Data

Description

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.

Usage

data(Breslow)

Arguments

Format

A data frame with 59 observations and the following 4 variables

Trt

The treatment: a factor with levels "placebo" and "progabide".

sumY

An integer value, the sum of seizures during the 1st, 2nd, 3rd and 4th two week periods.

Age10

Age divided by 10.

Base4

The eight-week baseline seizure count divided by 4.

References

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.

Examples

Run this code
# NOT RUN {
library(robcbi)
data(Breslow)
y  <- Breslow$sumY
x1 <- Breslow$Age10
x2 <- Breslow$Base4
x3 <- rep(0,length(y))
x3[Breslow$Trt=="progabide"] <- 1
# }

Run the code above in your browser using DataLab