Kenya_morbidity: Kenya Morbidity Data Set

In mmm2: Multivariate marginal models with shared regression parameters

Description

A bivariate longitudinal binary data set.

Usage

data(Kenya_morbidity)

Format

A data frame with 4692 observations on the following 7 variables.

ID

a vector for subject ID

poor_appetite

a vector for poor appetite: 0 = absence, 1 = presence

headache

a vector for headache: 0 = absence, 1 = presence

visit_num

a vector for follow-up time (in month)

age_at_onset

a vector for age at onset (in years)

boy

a vector for gender: 0 = girl, 1 = boy

treatment

a vector for treatment: 0 = control, 1 = calorie, 2 = meat, 3 = milk

Details

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.

Source

http://rem.ph.ucla.edu/mld/data/tabdelimiteddata/morbidity_class.txt

References

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.

Examples

data(Kenya_morbidity)
head(Kenya_morbidity, 10)
summary(Kenya_morbidity$age_at_onset)
table(Kenya_morbidity$treatment)

mmm2 documentation built on May 2, 2019, 5:41 a.m.