title: Flexible models for the analysis of growth data with an application to height prediction.
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.
authors.affiliation: Institute of Education, University of London, U.K.
authors.forename: H
authors.initials: H
authors.lastname: Goldstein
mesh_terms: D000293:Adolescent; D000328:Adult; D001827:Body Height; D002648:Child; D002675:Child, Preschool; D006128:Growth; D006801:Humans; D007223:Infant; D008297:Male; D008954:Models, Biological; D015999:Multivariate Analysis; D016011:Normal Distribution; D011336:Probability