Ohio Children Wheeze Status — ohio • geepack

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.

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


data(ohio)

fit.ex <- geeglm(resp ~ age + smoke + age:smoke, id=id, data=ohio,
   family=binomial, corstr="exch", scale.fix=TRUE)
QIC(fit.ex)
#>       QIC      QICu Quasi Lik       CIC    params      QICC 
#>  1830.350  1827.480  -909.740     5.435     4.000  1830.463 

fit.ar <- geeglm(resp ~ age + smoke + age:smoke, id=id, data=ohio,
   family=binomial, corstr="ar1", scale.fix=TRUE)
QIC(fit.ex)
#>       QIC      QICu Quasi Lik       CIC    params      QICC 
#>  1830.350  1827.480  -909.740     5.435     4.000  1830.463