Flexible models for the analysis of growth data with application to height prediction

Authors
Goldstein, H
Year
1989
Journal
Rev Epidemiol Sante Publique, 37:5-6, 477-484
Abstract

We show how recent developments in the theory of multilevel statistical modelling can be applied to the analysis of growth data and in particular to the prediction of adult height. This approach is both statistically efficient and very flexible.

Number of levels
2
Model data structure
Response types
Multivariate response model?
No
Longitudinal data?
Yes
Substantive discipline
Impact

Key paper setting out model for repeated measures analysis

Paper submitted by
Harvey Goldstein, Graduate School of Education, University of Bristol, h.goldstein@bristol.ac.uk
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