Multilevel multivariate modelling of childhood growth, numbers of growth measurements and adult characteristics

Goldstein, Harvey and Kounali, Daphne (2009) Multilevel multivariate modelling of childhood growth, numbers of growth measurements and adult characteristics. Journal of the Royal Statistical Society Series A: Statistics in Society, 172 (3). pp. 599-613. ISSN 0964-1998

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Official URL: http://www3.interscience.wiley.com/journal/1185222...

Abstract

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.

Item Type:Article
Uncontrolled Keywords:Latent normal model; Mixed response types; Multilevel; Multivariate multilevel model; Ordered categories; Ordered probit model; Poisson latent normal transformation; Prediction
Subjects:5. Quantitative Data Handling and Data Analysis > 5.6 Multilevel Modelling
5. Quantitative Data Handling and Data Analysis > 5.17 Quantitative Approaches (other)
ID Code:1970
Deposited By: LEMMA user
Deposited On:04 Dec 2011 15:39
Last Modified:04 Dec 2011 15:39

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