• Aumentar tamanho da fonte
  • Tamanho da fonte padrão
  • Diminuir tamanho da fonte
Reference Details
Fonseca Mde, J.Mendes da, Andreozzi, V. L., Faerstein, E., Chor, D. and Sa Carvalho, M. (2008), "Alternatives in modeling of body mass index as a continuous response variable and relevance of residual analysis", Cad Saude Publica, 24, 2: 473-8.

This article presents alternatives for modeling body mass index (BMI) as a continuous variable and the role of residual analysis. We sought strategies for the application of generalized linear models with appropriate statistical adjustment and easy interpretation of results. The analysis included 2,060 participants in Phase 1 of a longitudinal study (Pro-Saude Study) with complete data on weight, height, age, race, family income, and schooling. In our study, the residual analysis of models estimated by maximum likelihood methods yielded inadequate adjustment. The transformed response variable resulted in a good fit but did not lead to estimates with straightforward interpretation. The best alternative was to apply quasi-likelihood as the estimation method, presenting a better adjustment and constant variance. In epidemiological data modeling, researchers should always take trade-offs into account between adequate statistical techniques and interpretability of results.

Mendes da Fonseca, Maria de Jesus Andreozzi, Valeska Lima Faerstein, Eduardo Chor, Dora Sa Carvalho, Marilia Brazil Cadernos de saude publica / Ministerio da Saude, Fundacao Oswaldo Cruz, Escola Nacional de Saude Publica Cad Saude Publica. 2008 Feb;