JSM 2005 - Toronto

Abstract #304773

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Activity Number: 72
Type: Contributed
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304773
Title: A Novel Application of Survival Analysis to the Study of Infant Birth Weight
Author(s): Katherine Hoggatt*+ and Sander Greenland and Beate Ritz
Companies: University of California, Los Angeles and University of California, Los Angeles and University of California, Los Angeles
Address: Box 951772, Los Angeles, CA, 90095-1772, United States
Keywords: Epidemiology ; Survival Analysis ; Modeling
Abstract:

Birth weight has been associated with both poor infant health and adult-onset chronic disease. To date, little work has been done on methods for analyzing this outcome. Studies of infant birth weight have generally employed one of two types of models: linear regression for the continuous (possibly transformed) birthweight outcome or logistic regression for the binary outcome low birth weight (defined as a birth weight < 2500g). We show that even general inferences about whether a risk factor is harmful or protective may depend on the choice of model. As an alternative, we demonstrate how semiparametric methods used in survival analysis can be applied to the study of birth weight and its predictors, such as maternal race/ethnicity and age, and discuss the interpretation of the results from the various models.

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Revised March 2005