geepack (version 1.2-1)

ohio: Ohio Children Wheeze Status

Description

The ohio data frame has 2148 rows and 4 columns. The dataset is a subset of the six-city study, a longitudinal study of the health effects of air pollution.

Usage

data(ohio)

Format

This data frame contains the following columns:

resp

an indicator of wheeze status (1=yes, 0=no)

id

a numeric vector for subject id

age

a numeric vector of age, 0 is 9 years old

smoke

an indicator of maternal smoking at the first year of the study

References

Fitzmaurice, G.M. and Laird, N.M. (1993) A likelihood-based method for analyzing longitudinal binary responses, Biometrika 80: 141--151.

Examples

# NOT RUN {
data(ohio)
fit <- geese(resp ~ age + smoke + age:smoke, id=id, data=ohio,
             family=binomial, corstr="exch", scale.fix=TRUE)
summary(fit)
fit.ar1 <- geese(resp ~ age + smoke + age:smoke, id=id, data=ohio,
                 family=binomial, corstr="ar1", scale.fix=TRUE)
summary(fit.ar1)
# }