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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

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)

fit.ar <- geeglm(resp ~ age + smoke + age:smoke, id=id, data=ohio,
   family=binomial, corstr="ar1", scale.fix=TRUE)
QIC(fit.ex)

geepack

Generalized Estimating Equation Package

v1.3-2
GPL (>= 3)
Authors
Søren Højsgaard [aut, cre, cph], Ulrich Halekoh [aut, cph], Jun Yan [aut, cph], Claus Ekstrøm [ctb]
Initial release

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