Seizures: Seizures

In glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

Seizures

Description

The dataset reports the number of epileptic seizures in each of four two-week intervals, and in a baseline eight-week interval, for Progabide treatment and placebo groups with a total of 59 individuals.

Usage

data(Seizures)

Format

A data frame with 236 rows and 6 variables:

seizures

a numeric vector indicating the number of epileptic seizures.

treatment

a factor indicating the applied treatment: "Progabide" and "Placebo".

base

a numeric vector indicating the number of epileptic seizures in the baseline eight-week inverval.

age

a numeric vector indicating the age of the individuals.

time

a numeric vector indicating which the two-week interval corresponds to the reported number of epileptic seizures.

id

a numeric vector indicating the identifier of each individual.

Source

Thall P.F., Vail S.C. (1990) Some covariance models for longitudinal count data with overdispersion. Biometrics 46:657–671.

References

Carey V.J., Wang Y.-G. (2011) Working covariance model selection for generalized estimating equations. Statistics in Medicine 30:3117–3124.

Fu L., Hao Y., Wang Y.-G. (2018) Working correlation structure selection in generalized estimating equations. Computational Statistics & Data Analysis 33:983–996.

Diggle P.J., Liang K.Y., Zeger S.L. (1994, page 166) Analysis of Longitudinal Data. Clarendon Press.

Examples

dev.new()
data(Seizures)
boxplot(seizures ~ treatment:time, data=Seizures, ylim=c(0,25), col=c("blue","yellow"))

glmtoolbox documentation built on Oct. 10, 2023, 9:06 a.m.