A bivariate longitudinal binary data set.
A data frame with 4692 observations on the following 7 variables.
a vector for subject ID
a vector for poor appetite: 0 = absence, 1 = presence
a vector for headache: 0 = absence, 1 = presence
a vector for follow-up time (in month)
a vector for age at onset (in years)
a vector for gender: 0 = girl, 1 = boy
a vector for treatment: 0 = control, 1 = calorie, 2 = meat, 3 = milk
This data set is a sample of the big data set available at the link below. Only children with full data for the first year were included.
Neumann, C. G., Bwibo, N. O., Murphy, S. P., Sigman, M., Whaley, S., Allen, L. H., Guthrie, D., Weiss, R. E. Demment, M. W. (2003). Animal source foods improve dietary quality, micronutrient status, growth and cognitive function in Kenyan school children: Background, study design and baseline findings. Journal of Nutrition, 11, 3491S–3949S.
Weiss, R. E. (2005). Modeling longitudinal data. Springer-Verlag, New York.
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