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Please use this identifier to cite or link to this item: http://repositorio.ufba.br/ri/handle/ri/2429

Title: Structural equation modeling in epidemiology
Other Titles: Cadernos de Saúde Pública
Authors: Amorim, Leila Denise Alves Ferreira
Fiaccone, Rosemeire Leovigildo
Santos, Carlos Antonio de Souza Teles
Santos, Tereza Nadya Lima dos
Moraes, Lia Terezinha Lana Pimenta de
Oliveira, Nelson Fernandes de
Oliveira, Silvano Barbosa de
Santos, Darci Neves dos
Santos, Letícia Marques dos
Matos, Sheila Maria Alvim de
Barreto, Mauricio Lima
Keywords: Mathematical Models;Statistical Factor Analysis;Causality;Modelos Matemáticos;Análise Fatorial;Causalidade
Issue Date: Dec-2010
Publisher: Fiocruz
Abstract: Structural equation modeling (SEM) is an important statistical tool for evaluating complex relations in several research areas. In epidemiology, the use and discussion of SEM have been limited thus far. This article presents basic principles and concepts in SEM, including an application using epidemiological data analysis from a study on the determinants of cognitive development in young children, considering constructs related to organization of the child’s home environment, parenting style, and the child’s health status. The relations between the constructs and cognitive development were measured. The results showed a positive association between psychosocial stimulus at home and cognitive development in young children. The article presents the contributions by SEM to epidemiology, highlighting the need for an a priori theoretical model for improving the study of epidemiological questions from a new perspective.
Description: p.2251-2262
URI: http://www.repositorio.ufba.br/ri/handle/ri/2429
ISSN: 0102-311X
Appears in Collections:Artigos Publicados em Periódicos Nacionais (ISC)

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