Joint Bayesian analysis of birthweight and censored gestational age using finite mixture models.
Journal Article (Journal Article)
Birthweight and gestational age are closely related and represent important indicators of a healthy pregnancy. Customary modeling for birthweight is conditional on gestational age. However, joint modeling directly addresses the relationship between gestational age and birthweight, and provides increased flexibility and interpretation as well as a strategy to avoid using gestational age as an intermediate variable. Previous proposals have utilized finite mixtures of bivariate regression models to incorporate well-established risk factors into analysis (e.g. sex and birth order of the baby, maternal age, race, and tobacco use) while examining the non-Gaussian shape of the joint birthweight and gestational age distribution. We build on this approach by demonstrating the inferential (prognostic) benefits of joint modeling (e.g. investigation of 'age inappropriate' outcomes like small for gestational age) and hence re-emphasize the importance of capturing the non-Gaussian distributional shapes. We additionally extend current models through a latent specification which admits interval-censored gestational age. We work within a Bayesian framework which enables inference beyond customary parameter estimation and prediction as well as exact uncertainty assessment. The model is applied to a portion of the 2003-2006 North Carolina Detailed Birth Record data (n=336129) available through the Children's Environmental Health Initiative and is fitted using the Bayesian methodology and Markov chain Monte Carlo approaches.
Full Text
Duke Authors
Cited Authors
- Schwartz, SL; Gelfand, AE; Miranda, ML
Published Date
- July 2010
Published In
Volume / Issue
- 29 / 16
Start / End Page
- 1710 - 1723
PubMed ID
- 20575047
Pubmed Central ID
- 20575047
Electronic International Standard Serial Number (EISSN)
- 1097-0258
International Standard Serial Number (ISSN)
- 0277-6715
Digital Object Identifier (DOI)
- 10.1002/sim.3900
Language
- eng