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

• Purely hierarchical

Response types

• Continuous response

Multivariate response model?

No

Longitudinal data?

Yes

Substantive discipline

• Public Health/Epidemiology

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