respiratory: Data from a clinical trial comparing two treatments for a...

In geepack: Generalized Estimating Equation Package

Data from a clinical trial comparing two treatments for a respiratory illness

Description

The data are from a clinical trial of patients with respiratory illness, where 111 patients from two different clinics were randomized to receive either placebo or an active treatment. Patients were examined at baseline and at four visits during treatment. The respiratory status (categorized as 1 = good, 0 = poor) was determined at each visit.

Usage

respiratory

Format

A data frame with 444 observations on the following 8 variables.

center

a numeric vector

id

a numeric vector

treat

treatment or placebo

sex

M or F

age

in years at baseline

baseline

resporatory status at baseline

visit

id of each of four visits

outcome

respiratory status at each visit

Examples

data(respiratory)
data(respiratory, package="geepack")
respiratory$center <- factor(respiratory$center)
head(respiratory)

m1 <- glm(outcome ~ center + treat + age + baseline, data=respiratory,                
          family=binomial())                                                          
gee.ind <- geeglm(outcome ~ center + treat + age + baseline, data=respiratory, id=id, 
          family=binomial(), corstr="independence")                                   
gee.exc <- geeglm(outcome ~ center + treat + age + baseline, data=respiratory, id=id, 
             family=binomial(), corstr="exchangeable")                                
gee.uns <- geeglm(outcome ~ center + treat + age + baseline, data=respiratory, id=id, 
             family=binomial(), corstr="unstructured")                                
gee.ar1 <- geeglm(outcome ~ center + treat + age + baseline, data=respiratory, id=id, 
             family=binomial(), corstr="ar1")                                         

mlist <- list(gee.ind, gee.exc, gee.uns, gee.ar1)
do.call(rbind, lapply(mlist, QIC))
lapply(mlist, tidy)

geepack documentation built on Sept. 23, 2024, 5:09 p.m.