A restricted mixture model for dietary pattern analysis in small samples

• Type: Article in International Scientific Journal
• Date: 2012

Authors

Rita Gaio, AR (Author) FCUP; Joaquim Pinto da Costa (Author) FCUP; Ana Cristina Santos (Author) FMUP; Elisabete Ramos (Author) FMUP; Carla Lopes (Author) FMUP

Journal

Title: Statistics in Medicine

Vol. 31

Pages: 2137-2150

ISSN: 0277-6715

Publisher: Wiley-Blackwell

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 4 Citations

Scientific classification

FOS: Natural sciences > Mathematics

Other information

Authenticus ID: P-002-6TF

DOI: 10.1002/sim.5336

Abstract (EN): 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. Copyright (C) 2012 John Wiley & Sons, Ltd.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 14