Show simple item record

A spatial time‐to‐event approach for estimating associations between air pollution and preterm birth

dc.contributor.authorChang, Howard H.en_US
dc.contributor.authorReich, Brian J.en_US
dc.contributor.authorMiranda, Marie Lynnen_US
dc.date.accessioned2013-03-05T18:17:56Z
dc.date.available2014-05-01T14:28:12Zen_US
dc.date.issued2013-03en_US
dc.identifier.citationChang, Howard H.; Reich, Brian J.; Miranda, Marie Lynn (2013). "A spatial time‐to‐event approach for estimating associations between air pollution and preterm birth." Journal of the Royal Statistical Society: Series C (Applied Statistics) 62(2). <http://hdl.handle.net/2027.42/96740>en_US
dc.identifier.issn0035-9254en_US
dc.identifier.issn1467-9876en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/96740
dc.publisherWiley Periodicals, Inc.en_US
dc.publisherBlackwell Publishing Ltden_US
dc.subject.otherAir Pollutionen_US
dc.subject.otherPreterm Birthen_US
dc.subject.otherReproductive Epidemiologyen_US
dc.subject.otherSpatial Survival Dataen_US
dc.subject.otherFine Particulate Matteren_US
dc.titleA spatial time‐to‐event approach for estimating associations between air pollution and preterm birthen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumUniversity of Michigan, Ann Arbor, USAen_US
dc.contributor.affiliationotherEmory University, Atlanta, USAen_US
dc.contributor.affiliationotherNorth Carolina State University, Raleigh, USAen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/96740/1/j.1467-9876.2012.01056.x.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/96740/2/RSSC_1056_sm_Supplyment-Data.pdf
dc.identifier.doi10.1111/j.1467-9876.2012.01056.xen_US
dc.identifier.sourceJournal of the Royal Statistical Society: Series C (Applied Statistics)en_US
dc.identifier.citedreferenceR Development Core Team ( 2009 ) R: a Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing.en_US
dc.identifier.citedreferenceHolmes, C. C. and Held, L. ( 2006 ) Bayesian auxiliary variable models for binary and multinomial regression. Baysn Anal., 1, 145 – 168.en_US
dc.identifier.citedreferenceHuynh, M., Woodruff, T. J., Parker, J. D. and Schoendorf, K. C. ( 2006 ) Relationships between air pollution and preterm birth in California. Paed. Pernatl Epidem., 20, 454 – 461.en_US
dc.identifier.citedreferenceInstitute of Medicine ( 2006 ) Preterm Birth: Causes, Consequences, and Prevention. Washington DC: National Academies Press.en_US
dc.identifier.citedreferenceKannan, S., Misra, D. P., Dvonch, J. T. and Krishnakumar, A. ( 2006 ) Exposures to airborne particulate matter and adverse perinatal outcomes: a biologically plausible mechanistic framework for exploring potential effect modification by nutrition. Environ. Hlth Perspect., 114, 1636 – 1642.en_US
dc.identifier.citedreferenceKelsall, J. E., Wakefield, J. C., Bernardo, J. M., Berger, J. O., Dawid, A. P. and Smith, A. F. M. (eds) ( 1999 ) Comment on Bayesian model for spatially correlated disease and exposure data. In Bayesian Statistics 6. Oxford: Oxford University Press.en_US
dc.identifier.citedreferenceLeem, J. H., Kaplan, B. M., Shim, Y. K., Pohl, H. R., Gotway, C. A., Bullard, S. M., Rogers, J. F., Smith, M. M. and Tylenda, C. A. ( 2006 ) Exposures to air pollutants during pregnancy and preterm delivery. Environ. Hlth Perspect., 114, 905 – 910.en_US
dc.identifier.citedreferenceLorenz, J., Wooliever, D., Jetton, J. and Paneth, N. ( 1998 ) A quantitative review of mortality and developmental disability in extremely premature newborns. Arch. Ped. Adolesc. Med., 152, 425 – 435.en_US
dc.identifier.citedreferenceMcMillan, N. J., Holland, D. M., Morara, M. and Feng, J. ( 2009 ) Combining numerical model output and particulate data using Bayesian space‐time modeling. Environmetrics, 21, 48 – 65.en_US
dc.identifier.citedreferenceMebust, M. R., Eder, B. K., Binkowski, F. S. and Roselle, S. J. ( 2003 ) Models‐3 Community Multiscale Air 392 Quality (CMAQ) model aerosol component 2 model evaluation. J. Geophys. Res., 108, 4184 – 4202.en_US
dc.identifier.citedreferenceMoster, D., Lie, R. T. and Markestad, T. ( 2008 ) Long‐term medical and social consequences of preterm birth. New Engl. J. Med., 359, 262 – 273.en_US
dc.identifier.citedreferenceMustafa, G. and David, R. ( 2001 ) Comparative accuracy of clinical estimate versus menstrual gestational age in computerized birth certificates. Publ. Hlth Rep., 116, 15 – 21.en_US
dc.identifier.citedreferenceNortham, S. and Knapp, T. R. ( 2009 ) The reliability and validity of birth certificates. J. Obstetr. Gyn. Neontl Nurs., 35, 3 – 12.en_US
dc.identifier.citedreferencePope III, C. A. and Dockery, D. W. ( 2006 ) Health effects of fine particulate air pollution: lines that connect. J. Air Waste Mangmnt Ass., 56, 709 – 742.en_US
dc.identifier.citedreferenceReich, B. J. and Fuentes, M. ( 2007 ) A multivariate semiparametric Bayesian spatial modeling framework for hurricane surface wind fields. Ann. Appl. Statist., 1, 249 – 264.en_US
dc.identifier.citedreferenceRitz, B., Wilhelm, M., Hoggatt, K. J. and Ghosh, J. C. ( 2007 ) Ambient air pollution and preterm birth in the environment and pregnancy outcome study at the University of California, Los Angeles. Am. J. Epidem., 166, 1045 – 1052.en_US
dc.identifier.citedreferenceSagiv, S., Mendola, P., Loomis, D., Herring, A. H., Neas, L. M., Savitz, D. A. and Poole, C. ( 2005 ) A time series analysis of air pollution and preterm birth in Pennsylvania. Environ. Hlth Perspect., 113, 602 – 606.en_US
dc.identifier.citedreferenceSaigal, S. and Doyle, L. W. ( 2008 ) An overview of mortality and sequelae of preterm birth from infancy to adulthood. Lancet, 371, 261 – 269.en_US
dc.identifier.citedreferenceSavitz, D. A., Dole, N., Herring, A., Kaczor, D., Murphy, J., Siega‐Riz, Jr, A. M. and MacDonald, T. L. ( 2005 ) Should spontaneous and medically indicated preterm births be separated for study aetiology ? Paed. Perntl Epidem., 19, 97 – 105.en_US
dc.identifier.citedreferenceS˘ràm, R. J., Binkova, B., Dejmek, J. and Bobak, M. ( 2005 ) Ambient air pollution and pregnancy outcomes: a review of the literature. Environ. Hlth Perspect., 113, 375 – 382.en_US
dc.identifier.citedreferenceStrickland, M. J., Klein, M., Darrow, L. A., Flanders, W. D., Correa, A., Marcus, M. and Tolbert, P. E. ( 2009 ) The issue of confounding in epidemiological studies of ambient air pollution and pregnancy outcomes. J. Epidem. Commty Hlth, 63, 500 – 504.en_US
dc.identifier.citedreferenceSwamy, G. K., Østbye, T. and Skjærven, R. ( 2008 ) Association of preterm birth with long‐term survival, reproduction, and next‐generation preterm birth. J. Am. Med. Ass., 299, 1429 – 1436.en_US
dc.identifier.citedreferenceWilhelm, M. and Ritz, B. ( 2005 ) Local variations in CO and particulate air pollution and adverse birth outcomes in Los Angeles County, California, USA. Environ. Hlth Perspect., 113, 1212 – 1221.en_US
dc.identifier.citedreferenceWoodruff, T. J., Parker, J. D., Darrow, L. A., Slama, R., Bell, M., Choi, H., Glinianaia, S., Hoggatt, K., Karr, C., Lobdell, D. T. and Wilhelm, M. ( 2009 ) Methodological issues in studies of air pollution and reproductive health. Environ. Res., 109, 311 – 320.en_US
dc.identifier.citedreferenceAnanth, C. V. ( 2007 ) Menstrual versus clinical estimate of gestational age dating in the United States: temporal trends and variability in indices of perinatal outcomes. Paed. Perntl Epidem., 21, 20 – 30.en_US
dc.identifier.citedreferenceBanerjee, S., Carlin, B. and Gelfand, A. ( 2003 ) Hierarchical modeling and analysis for spatial data. Boca Raton: Chapman and Hall.en_US
dc.identifier.citedreferenceBesag, J. ( 1974 ) Spatial interaction and the statistical analysis of lattice systems (with discussion). J. R. Statist. Soc. B, 36, 192 – 236.en_US
dc.identifier.citedreferenceBosetti, C., Nieuwenhuijsen, M. J., Gallus, S., Cipriani, S., La Vecchia, C. and Parazzini, F. ( 2010 ) Ambient particulate matter and preterm birth or birth weight: a review of the literature. Arch. Toxcol., 84, 447 – 460.en_US
dc.identifier.citedreferenceBrauer, M., Lencar, C., Tamburic, L., Koehoorn, M., Demers, P. and Karr, C. ( 2008 ) A cohort study of traffic‐related air pollution impacts on birth outcomes. Environ. Hlth Perspect., 116, 680 – 686.en_US
dc.identifier.citedreferenceByun, D. J. and Schere, K. L. ( 2006 ) Review of the governing equations, computational algorithms, and other components of the Model‐3 Community Multiscale Air Quality (CMAQ) modeling system. Appl. Mech. Rev., 59, 51 – 77.en_US
dc.identifier.citedreferenceCanfield, M. A., Ramadhani, T. A., Langlois, P. H. and Waller, D. K. ( 2006 ) Residential mobility patterns and exposure misclassification in epidemiologic studies of birth defects. J. Expos. Sci. Environ. Epidem., 16, 538 – 543.en_US
dc.identifier.citedreferenceCasella, G. and George, E. I. ( 1992 ) Explaining the Gibbs sampler. Am. Statistn, 6, 167 – 174.en_US
dc.identifier.citedreferenceDarrow, L. A., Klein, M., Flanders, W. D., Waller, L. A., Correa, A., Marcus, M., Mulholland, J. A., Russell, A. G. and Tolbert, P. E. ( 2009a ) Ambient air pollution and preterm birth: a time‐series analysis. Epidemiology, 20, 689 – 698.en_US
dc.identifier.citedreferenceDarrow, L. A., Strickland, M. J., Klein, M., Waller, L. A., Flanders, W. D., Correa, A., Marcus, M. and Tolbert, P. E. ( 2009b ) Seasonality of birth and implications for temporal studies of preterm birth. Epidemiology, 20, 699 – 706.en_US
dc.identifier.citedreferenceGoldenberg, R. L., Culhane, J. F., Iams, J. D. and Romero, R. ( 2008 ) Epidemiology and causes of preterm birth. Lancet, 371, 75 – 89.en_US
dc.identifier.citedreferenceGray, S. C., Edwards, S. E. and Miranda, M. L. ( 2009 ) Assessing exposure metrics for PM and birth weight models. J. Expos. Sci. Environ. Epidem., 20, 469 – 477.en_US
dc.identifier.citedreferenceGriffin, J. E. and Steel, M. F. J. ( 2006 ) Order‐based dependent Dirichlet processes. J. Am. Statist. Ass., 101, 179 – 194.en_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.