Bayesian Multinomial Probit Modeling of Daily Windows of Susceptibility for Maternal PM2.5 Exposure and Congenital Heart Defects

Citation

Warren, Joshua L.; Stingone, Jeanette A.; Herring, Amy H.; Luben, Thomas J.; Fuentes, Montserrat; Aylsworth, Arthur S.; Langlois, Peter H.; Botto, Lorenzo D.; Correa, Adolfo; & Olshan, Andrew F., et al. (2016). Bayesian Multinomial Probit Modeling of Daily Windows of Susceptibility for Maternal PM2.5 Exposure and Congenital Heart Defects. Statistics in Medicine, 35(16), 2786-2801. PMCID: PMC4899303

Abstract

Epidemiologic studies suggest that maternal ambient air pollution exposure during critical periods of pregnancy is associated with adverse effects on fetal development. In this work, we introduce new methodology for identifying critical periods of development during post-conception gestational weeks 2-8 where elevated exposure to particulate matter less than 2.5 microm (PM

URL

http://dx.doi.org/10.1002/sim.6891

Reference Type

Journal Article

Year Published

2016

Journal Title

Statistics in Medicine

Author(s)

Warren, Joshua L.
Stingone, Jeanette A.
Herring, Amy H.
Luben, Thomas J.
Fuentes, Montserrat
Aylsworth, Arthur S.
Langlois, Peter H.
Botto, Lorenzo D.
Correa, Adolfo
Olshan, Andrew F.
the National Birth Defects Prevention Study,

PMCID

PMC4899303

ORCiD

Olshan - 0000-0001-9115-5128