Multivariate multilevel modelling of childhood growth, numbers of growth measurements and adult characteristics
- Journal of the Royal Statistical Society: Series A, 5:2, 67-69
A general latent normal model for multilevel data with mixtures of response types is extended in the case of ordered responses to deal with variates having a large number of categories and including count data. An example is analysed by using repeated measures data on child growth and adult measures of body mass index and glucose. Applications are described that are concerned with the flexible prediction of adult measurements from collections of growth measurements and for studying the relationship between the number of measurement occasions and growth trajectories.
- Number of levels
- Model data structure
- Response types
- Multivariate response model?
- Longitudinal data?
- Substantive discipline
Shows how responses at different levels of a data hierarchy can be modelled together as well as mixtures of continuous, ordered and count responses.
- Paper submitted by
- Harvey Goldstein, Graduate School of Education, University of Bristol, firstname.lastname@example.org