wheeze: Wheeze dataset

In geessbin: Modified Generalized Estimating Equations for Binary Outcome

Wheeze dataset

Description

The data studied the effect of air pollution on the health of 16 children. The outcome variable was the wheezing status measured consistently four times yearly at ages of 9, 10, 11, and 12 years.

Format

A data frame with 64 observations on the following 6 variables:

ID

child identifier.

Wheeze

binary indicator of wheezing presence.

City

binary indicator of whether the child lives in Kingston (0 = Portage; 1 = Kingston).

Age

age of child in years ranging from 9 to 12.

Smoke

measure of smoking habits (cigarettes per day) of child's mother.

References

• Hardin, J. and Hilbe, J. (2013). Generalized Estimating Equations, 2nd edition. Chapman and Hall, London.
  

• Lipsitz, S. R., Fitzmaurice, G. M., Orav, E. J., and Laird, N. M. (1994). Performance of Generalized Estimating Equations in Practical Situations. Biometrics, 50, 270–278, \Sexpr[results=rd]{tools:::Rd_expr_doi("10.2307/2533218")}.

Examples

data(wheeze)

geessbin documentation built on Sept. 11, 2024, 5:31 p.m.