Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures

Bailey, 2005, Bayley Scales of Infant and Toddler Development, Administration Manual, 3rd edition

Bartoli, 2009, Mechanisms of inhaled fine particulate air pollution-induced arterial blood pressure changes, Environmental Health Perspectives, 117, 361, 10.1289/ehp.11573

Billionnet, 2012, Estimating the health effects of exposure to multi-pollutant mixture, Annals of Epidemiology, 22, 126, 10.1016/j.annepidem.2011.11.004

Breiman, 2001, Random forests, Machine Learning, 45, 5, 10.1023/A:1010933404324

Carlin, 2013, Unraveling the health effects of environmental mixtures: an NIEHS priority, Environmental Health Perspectives, 102, A6

Claus Henn, 2012, Associations of early childhood manganese and lead coexposure with neurodevelopment, Environmental Health Perspectives, 120, 126, 10.1289/ehp.1003300

Cristianini, 2000, An Introduction to Support Vector Machines and Other Kernel-Based Learning Methods, 10.1017/CBO9780511801389

Gennings, 2010, Identifying subsets of complex mixtures most associated with complex diseases: polychlorinated biphenyls and endometriosis as a case study, Epidemiology, 21, S77, 10.1097/EDE.0b013e3181ce946c

George, 1993, Variable selection via Gibbs sampling, Journal of the American Statistical Association, 88, 881, 10.1080/01621459.1993.10476353

Gryparis, 2009, Measurement error caused by spatial misalignment in environmental epidemiology, Biostatistics, 10, 258, 10.1093/biostatistics/kxn033

Hu, 2007, The challenge posed to children's health by mixtures of toxic waste: the Tar Creek Superfund site as a case-study, Pediatric Clinics of North America, 54, 155, 10.1016/j.pcl.2006.11.009

Kioumourtzoglou, 2014, The impact of source contribution uncertainty on the effects of source-specific pm2.5 on hospital admissions: a case study in Boston, MA, Journal of Exposure Science and Environmental Epidemiology, 24, 365, 10.1038/jes.2014.7

Kioumourtzoglou, 2013, The effect of primary organic particles on emergency hospital admissions among the elderly in 3 US cities, Environmental Health, 12, 20

Liaw, 2002, Classification and regression by randomforest, R News, 2, 18

Linkletter, 2006, Variable selection for Gaussian process models in computer experiments, Technometrics, 48, 478, 10.1198/004017006000000228

Liu, 2007, Semiparametric regression of multidimensional genetic pathway data: least-squares kernel machines and linear mixed models, Biometrics, 63, 1079, 10.1111/j.1541-0420.2007.00799.x

Maity, 2011, Powerful tests for detecting a gene effect in the presence of possible gene-gene interactions using garrote kernel machines, Biometrics, 67, 1271, 10.1111/j.1541-0420.2011.01598.x

Patel, 2010, An environment-wide association study (EWAS) on type 2 diabetes mellitus, PLOS ONE, 5, 10.1371/journal.pone.0010746

Savitsky, 2011, Variable selection for nonparametric Gaussian process priors: models and computational strategies, Statistical Science, 26, 130, 10.1214/11-STS354

Szpiro, 2013, Measurement error in two-stage analyses, with application to air pollution epidemiology, Environmetrics, 24, 501, 10.1002/env.2233

Szpiro, 2011, Efficient measurement error correction with spatially misaligned data, Biostatistics, 12, 610, 10.1093/biostatistics/kxq083

Thomas, 2007, Dissecting effects of complex mixtures: who's afraid of informative priors?, Epidemiology, 18, 186, 10.1097/01.ede.0000254682.47697.70

Tibshirani, 1994, Regression shrinkage and selection via the lasso, Journal of the Royal Statistical Society, Series B, 58, 267, 10.1111/j.2517-6161.1996.tb02080.x

Wood, 2006, Generalized Additive Models: An Introduction with R, 10.1201/9781420010404

Zou, 2010, Nonparametric bayesian variable selection with applications to multiple quantitative trait loci mapping with epistasis and gene-environment interaction, Genetics, 186, 385, 10.1534/genetics.109.113688