Bayesian multinomial probit modeling of daily windows of susceptibility for maternal PM2.5 exposure and congenital heart defects.

MLA

Warren, Joshua L., et al. “Bayesian Multinomial Probit Modeling of Daily Windows of Susceptibility for Maternal PM2.5 Exposure and Congenital Heart Defects.” Statistics in Medicine, vol. 35, no. 16, July 2016, pp. 2786–801. EBSCOhost, https://doi.org/10.1002/sim.6891.

APA

Warren, J. L., Stingone, J. A., Herring, A. H., Luben, T. J., Fuentes, M., Aylsworth, A. S., Langlois, P. H., Botto, L. D., Correa, A., & Olshan, A. F. (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. https://doi.org/10.1002/sim.6891

Chicago

Warren, Joshua L., Jeanette A. Stingone, Amy H. Herring, Thomas J. Luben, Montserrat Fuentes, Arthur S. Aylsworth, Peter H. Langlois, Lorenzo D. Botto, Adolfo Correa, and Andrew F. Olshan. 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. doi:10.1002/sim.6891.