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The Muscatine children's obesity data reanalysed using pattern mixture models

Ekholm, A. and Skinner, C. (1998) The Muscatine children's obesity data reanalysed using pattern mixture models Journal of the Royal Statistical Society. Series C: Applied Statistics, 47, (2), pp. 251-263.

Record type: Article

Abstract

A set of longitudinal binary, partially incomplete, data on obesity among children in the USA is reanalysed. The multivariate Bernoulli distribution is parameterized by the univariate marginal probabilities and dependence ratios of all orders, which together support maximum likelihood inference. The temporal association of obesity is strong and complex but stationary. We fit a saturated model for the distribution of response patterns and find that non-response is missing completely at random for boys but that the probability of obesity is consistently higher among girls who provided incomplete records than among girls who provided complete records. We discuss the statistical and substantive features of, respectively, pattern mixture and selection models for this data set.

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More information

Published date: 1998
Keywords: cohort data, correlated binary data, dependence ratio, informative non-response, selection model
Organisations: Social Statistics

Identifiers

Local EPrints ID: 34676
URI: http://eprints.soton.ac.uk/id/eprint/34676
ISSN: 0035-9254
PURE UUID: 89b2551a-b559-4a6b-bf14-aa268cc9f950

Catalogue record

Date deposited: 08 May 2007
Last modified: 17 Jul 2017 15:49

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Contributors

Author: A. Ekholm
Author: C. Skinner

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