Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects
Warren JL, Stingone JA, Herring AH, Luben TJ, Fuentes M, Aylsworth AS, Langlois PH, Botto LD, Correa A, Olshan AF, Study B. Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects. Statistics In Medicine 2016, 35: 2786-2801. PMID: 26853919, PMCID: PMC4899303, DOI: 10.1002/sim.6891.Peer-Reviewed Original ResearchMeSH KeywordsAir PollutantsBayes TheoremFemaleHeart Defects, CongenitalHumansInfant, NewbornMaternal ExposureModels, StatisticalParticulate MatterPregnancyConceptsGestational weeks 2Week 2PM2.5 exposureCongenital heartAmbient air pollution exposureMaternal PM2.5 exposureTetralogy of FallotNational Birth Defect Prevention StudyAir pollution exposureCritical periodDaily PM2.5 exposurePrevention StudyExposure modelEpidemiologic studiesFetal developmentHealth outcomesSignificant associationPollution exposureDay 53PregnancyDay 50Adverse effectsElevated exposureExposureHeart