A restricted mixture model for dietary pattern analysis in small samples.

Abstract:

:Multivariate finite mixture models have been applied to the identification of dietary patterns. These models are known to have many parameters, and consequently large samples are usually required. We present a special case of a multivariate mixture model that reduces the number of parameters to be estimated and seems adequate for small to moderately sized samples. We illustrate our approach with an analysis of Portuguese data from a food-frequency questionnaire and with a simulation study.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Rita Gaio A,Costa JP,Santos AC,Ramos E,Lopes C

doi

10.1002/sim.5336

subject

Has Abstract

pub_date

2012-08-30 00:00:00

pages

2137-50

issue

19

eissn

0277-6715

issn

1097-0258

journal_volume

31

pub_type

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