epilepsy {robustbase} | R Documentation |
Data from a clinical trial of 59 patients with epilepsy (Breslow, 1996) in order to illustrate diagnostic techniques in Poisson regression.
data(epilepsy)
A data frame with 59 observations on the following 11 variables.
ID
Y1
Y2
Y3
Y4
Base
Age
Trt
placebo
progabide
indicating whether the anti-epilepsy
drug Progabide has been applied or notYsum
Age10
Base4
Base
devided by 4Thall and Vail reported data from a clinical trial of 59 patients with epilepsy, 31 of whom were randomized to receive the anti-epilepsy drug Progabide and 28 of whom received a placebo. Baseline data consisted of the patient's age and the number of epileptic seizures recorded during 8 week period prior to randomization. The response consisted of counts of seizures occuring during the four consecutive follow-up periods of two weeks each.
Thall, P.F. and Vail S.C. (1990) Some covariance models for longitudinal count data with overdispersion. Biometrics 46, 657–671.
Diggle, P.J., Liang, K.Y., and Zeger, S.L. (1994) Analysis of Longitudinal Data; Clarendon Press.
Breslow N. E. (1996) Generalized linear models: Checking assumptions and strengthening conclusions. Statistica Applicata 8, 23–41.
data(epilepsy) str(epilepsy) pairs(epilepsy[,c("Ysum","Base4","Trt","Age10")]) Efit1 <- glm(Ysum ~ Age10 + Base4*Trt, family=poisson, data=epilepsy) summary(Efit1) ## Robust Fit :