respInf | R Documentation |
This is cohort study of 275 Indonesian preschool children, ($J=1,2, ...,275$), examined on up to six, consecutive quarters for the presence of respiratory infection. Sommer et al. (1983) describe the study, while Zeger and Karim (1991) and Diggle et al (2002) among others analyzed it. The data were also analyzed by Skrondal and Rabe-Hesketh (2004).
data("respInf")
A data frame with 1200 observations on the following 14 variables.
id
a factor with 275 levels identifying the individual children
time
the binary response variable identifying the presence of respiratory infection
resp
a vector of ones (not used further)
age
the age in months (centered around 36)
xero
a factor variable for the present of xerophthalmia with levels 0
1
cosine
a cosine term of the annual cycle
sine
a sin term of the annual cycle
female
a gender factor with levels 0
is male 1
is female
height
height for age as percent of the National Center for health Statistics standard centered at 90%
stunted
a factor whether below 85% in height for age 0
1
time.1
the time that the children has been examine, 1 to 6
age1
he age of the child at the fist time of examination
season
a variable taking the values 1,2,3,4 indicating the season
time2
the time in months
Diggle, P. J., Heagerty, P., Liang, K. Y. and Zeger S. L.Analysis of Longitudinal Data, 2nd ed. Oxford University Press, Oxford, 2002.
Sommer, Alfred, et al. Increased mortality in children with mild vitamin A deficiency. The Lancet 322 83:50 (1983): 585-588.
Skrondal A. and Rabe-Hesketh S. Genaralized Latent Variable modelling. Chapman & Hall, (2004).
Zeger S. L and Karim M. R. Generalized linear models with random effects: a gibbs sampling approach. J. Am. Statist. Ass., 86, 79-95, 1991.
data(respInf)
## maybe str(respInf) ; plot(respInf) ...
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