Exploration of variable selection methods by logistic regression techniques for epidemiologic data analysis / Exploração de metodos de seleção de variaveis pela tecnica de regressão logistica para analise de dados epidemiologicos

AUTOR(ES)

Cleide Aparecida Moreira Silva

DATA DE PUBLICAÇÃO

2006

RESUMO

n this work it was discussed the application of two methods for selection of predictor variables and models in multiple logistic regression analysis: hierarchical model and a stepwise model. In a case-control study conduced to identify risk factors associated to neonatal mortality in Campinas, São Paulo, the effects of socio-economic, maternal morbidity and health care were studied. The study included 117 cases and 234 controls and the supplementary data were obtained from household interviews. The multiple logistic regression analysis, in a hierarchical model, identified as associated to neonatal death risk: income, immigration, number of dwellers, the choice of delivery hospital, vaginal bleeding, early delivery due to health problems, time elapsed between hospital admission and delivery, number of orientations received, gestational age, low birth weight and APGAR score at 5th minute. The differences found for the stepwise model were: income was associated with the choice of delivery hospital, vaginal bleeding was associated with early delivery due to health problems and immigration. Immigration was selected only by the hierarchical model and was associated with early delivery due to health problems. A interaction effect between number of orientations received and early delivery due to health problems was included in model selected by the stepwise procedure. The hierarchical modeling allowed associated variables to be in the final model (collinearity). The inter-relation between variables was investigated with the stepwise procedure. Independently of the choice of the process of selection of variables or models there are points that are important: exhaustive literature review, a careful univariate analysis and the evaluation of the relationships between two or more independent variables

ASSUNTO(S)

modelos logisticos logistic models modelos estatisticos mortalidade infantil statistics models infant mortality

Documentos Relacionados

• Seleção de covariáveis para ajuste de regressão logística na análise de abundância de invertebrados edáficos em diferentes agroecossistemas
• Análise de influência local no modelo de regressão logística
• Regressão linear ponderada na seleção de variaveis independentes em modelos de regressão logistica
• Modelos de regressão sobre dados composicionais
• Análise de decisão multicritério aplicada na seleção de fornecedores de logística.