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Volumn 178, Issue 4, 2015, Pages 1069-1091

A Bayesian framework for estimating disease risk due to exposure to uranium mine and mill waste on the Navajo Nation

Author keywords

Abandoned uranium mines; Bayesian model averaging; Chronic disease; Environmental health; Metal exposure; Multivariate binary models

Indexed keywords


EID: 84942374694     PISSN: 09641998     EISSN: 1467985X     Source Type: Journal    
DOI: 10.1111/rssa.12099     Document Type: Article
Times cited : (65)

References (42)
  • 1
    • 81555227899 scopus 로고    scopus 로고
    • Heavy metal poisoning and cardiovascular disease
    • Alissa, E. M. and Ferns, G. A. (2011) Heavy metal poisoning and cardiovascular disease. J. Toxicol., article 870125.
    • (2011) J. Toxicol.
    • Alissa, E.M.1    Ferns, G.A.2
  • 2
    • 0036721608 scopus 로고    scopus 로고
    • The history of uranium mining and the Navajo people
    • Brugge, D. and Goble, R. (2002) The history of uranium mining and the Navajo people. Am. J. Publ. Hlth, 92, 1410-1419.
    • (2002) Am. J. Publ. Hlth , vol.92 , pp. 1410-1419
    • Brugge, D.1    Goble, R.2
  • 3
    • 84942378679 scopus 로고    scopus 로고
    • Model averaged double robust estimation
    • Working Paper 149. Department of Biostatistics, Harvard School of Public Health, Boston.
    • Cefalu, M., Dominici, F. and Parmigiani, G. (2013) Model averaged double robust estimation. Working Paper 149. Department of Biostatistics, Harvard School of Public Health, Boston. (Available from http://biostats.bepress.com/harvardbiostat/paper149/.)
    • (2013)
    • Cefalu, M.1    Dominici, F.2    Parmigiani, G.3
  • 4
    • 0000911137 scopus 로고    scopus 로고
    • Analysis of multivariate probit models
    • Chib, S. and Greenberg, E. (1998) Analysis of multivariate probit models. Biometrika, 85, 347-361.
    • (1998) Biometrika , vol.85 , pp. 347-361
    • Chib, S.1    Greenberg, E.2
  • 5
    • 50949134553 scopus 로고    scopus 로고
    • Adjustment uncertainty in effect estimation
    • Crainiceanu, C. M., Dominici, F. and Parmigiani, G. (2008) Adjustment uncertainty in effect estimation. Biometrika, 95, 635-651.
    • (2008) Biometrika , vol.95 , pp. 635-651
    • Crainiceanu, C.M.1    Dominici, F.2    Parmigiani, G.3
  • 6
    • 84933486831 scopus 로고
    • Navajo uranium workers and the effects of occupational illnesses: a case study
    • Dawson, S. E. (1992) Navajo uranium workers and the effects of occupational illnesses: a case study. Hum. Organizn, 51, 389-397.
    • (1992) Hum. Organizn , vol.51 , pp. 389-397
    • Dawson, S.E.1
  • 7
    • 68349158078 scopus 로고    scopus 로고
    • Lessons from the Navajo: assistance with environmental data collection ensures cultural humility and data relevance
    • DeLemos, J., Rock, T., Brugge, D., Slagowski, N., Manning, T. and Lewis, J. (2007) Lessons from the Navajo: assistance with environmental data collection ensures cultural humility and data relevance. Prog. Commty Hlth Partner. Res. Educ. Actn, 1, 321-326.
    • (2007) Prog. Commty Hlth Partner. Res. Educ. Actn , vol.1 , pp. 321-326
    • DeLemos, J.1    Rock, T.2    Brugge, D.3    Slagowski, N.4    Manning, T.5    Lewis, J.6
  • 9
    • 63049127098 scopus 로고    scopus 로고
    • mvtnorm: multivariate normal and t distributions
    • R Package Version 1.0-0.
    • Genz, A., Bretz, F., Miwa, T., Mi, X., Leisch, F., Scheipl, F. and Hothorn, T. (2014) mvtnorm: multivariate normal and t distributions. R Package Version 1.0-0.
    • (2014)
    • Genz, A.1    Bretz, F.2    Miwa, T.3    Mi, X.4    Leisch, F.5    Scheipl, F.6    Hothorn, T.7
  • 10
    • 69949118504 scopus 로고    scopus 로고
    • logit.bayes: Bayesian logistic regression for dichotomous dependent variables
    • I. Kosuke, G. Kingand O. Lau
    • Goodrich, B. and Ying, L. (2014) logit.bayes: Bayesian logistic regression for dichotomous dependent variables. InZelig: Everyone's Statistical Software (eds I. Kosuke, G. King and O. Lau). (Available from http://gking.harvard.edu/zelig.)
    • (2014) Zelig: Everyone's Statistical Software
    • Goodrich, B.1    Ying, L.2
  • 11
    • 0030470138 scopus 로고    scopus 로고
    • Basic methods for sensitivity analysis of biases
    • Greenland, S. (1996) Basic methods for sensitivity analysis of biases. Int. J. Epidem., 25, 1107-1116.
    • (1996) Int. J. Epidem. , vol.25 , pp. 1107-1116
    • Greenland, S.1
  • 12
    • 0028243865 scopus 로고
    • The interpretation of multiplicative-model parameters as standardized parameters
    • Greenland, S. and Maldonado, G. (1994) The interpretation of multiplicative-model parameters as standardized parameters. Statist. Med., 13, 989-999.
    • (1994) Statist. Med. , vol.13 , pp. 989-999
    • Greenland, S.1    Maldonado, G.2
  • 13
    • 84916883392 scopus 로고    scopus 로고
    • Informative g-priors for logistic regression
    • Hanson, T. E., Branscum, A. J. and Johnson, W. O. (2014) Informative g-priors for logistic regression. Baysn Anal., 9, 597-612.
    • (2014) Baysn Anal. , vol.9 , pp. 597-612
    • Hanson, T.E.1    Branscum, A.J.2    Johnson, W.O.3
  • 15
    • 1842429563 scopus 로고    scopus 로고
    • Nonparametric estimation of average treatment effects under exogeneity: a review
    • Imbens, G. W. (2004) Nonparametric estimation of average treatment effects under exogeneity: a review. Rev. Econ. Statist., 86, 4-29.
    • (2004) Rev. Econ. Statist. , vol.86 , pp. 4-29
    • Imbens, G.W.1
  • 16
    • 0031514994 scopus 로고    scopus 로고
    • Estimating Bayes factors via posterior simulation with the Laplace-Metropolis estimator
    • Lewis, S. M. and Raftery, A. E. (1997) Estimating Bayes factors via posterior simulation with the Laplace-Metropolis estimator. J. Am. Statist. Ass., 92, 648-655.
    • (1997) J. Am. Statist. Ass. , vol.92 , pp. 648-655
    • Lewis, S.M.1    Raftery, A.E.2
  • 17
    • 24144476658 scopus 로고    scopus 로고
    • Causal thinking and causal language in epidemiology: it's in the details
    • Lipton, R. and Ødegaard, T. (2005) Causal thinking and causal language in epidemiology: it's in the details. Epidem. Perspect. Innovns, 2 no. 1.
    • (2005) Epidem. Perspect. Innovns , vol.2 , Issue.1
    • Lipton, R.1    Ødegaard, T.2
  • 18
    • 0035516193 scopus 로고    scopus 로고
    • Changes in BMI and weight before and after the development of type 2 diabetes
    • Looker, H. C., Knowler, W. C. and Hanson, R. L. (2001) Changes in BMI and weight before and after the development of type 2 diabetes. Diab. Care, 24, 1917-1922.
    • (2001) Diab. Care , vol.24 , pp. 1917-1922
    • Looker, H.C.1    Knowler, W.C.2    Hanson, R.L.3
  • 19
    • 34248379740 scopus 로고    scopus 로고
    • Bayesian sensitivity analysis for unmeasured confounding in observational studies
    • McCandless, L. C., Gustafson, P. and Levy, A. (2007) Bayesian sensitivity analysis for unmeasured confounding in observational studies. Statist. Med., 26, 2331-2347.
    • (2007) Statist. Med. , vol.26 , pp. 2331-2347
    • McCandless, L.C.1    Gustafson, P.2    Levy, A.3
  • 20
    • 0030777153 scopus 로고    scopus 로고
    • Risk factors for coronary heart disease among Navajo Indians: findings from the Navajo health and nutrition survey
    • Mendlein, J. M., Freedman, D. S., Peter, D. G., Allen, B., Percy, C. A., Ballew, C., Mokdad, A. H. and White, L. L. (1997) Risk factors for coronary heart disease among Navajo Indians: findings from the Navajo health and nutrition survey. J. Nutrn, 127, suppl., 2099S-2105S.
    • (1997) J. Nutrn , vol.127 , pp. 2099S-2105S
    • Mendlein, J.M.1    Freedman, D.S.2    Peter, D.G.3    Allen, B.4    Percy, C.A.5    Ballew, C.6    Mokdad, A.H.7    White, L.L.8
  • 22
    • 84942378681 scopus 로고    scopus 로고
    • baymvb: Bayesian analysis of multivariate binary data
    • R Package.
    • Mwalili, S. M. (2005) baymvb: Bayesian analysis of multivariate binary data. R Package.
    • (2005)
    • Mwalili, S.M.1
  • 23
    • 0037249052 scopus 로고    scopus 로고
    • The spectrum of kidney disease in American Indians
    • Narva, A. S. (2003) The spectrum of kidney disease in American Indians. Kid. Int., 63, suppl., S3-S7.
    • (2003) Kid. Int. , vol.63 , pp. S3-S7
    • Narva, A.S.1
  • 24
    • 4444363400 scopus 로고    scopus 로고
    • Bayesian multivariate logistic regression
    • O'Brien, S. M. and Dunson, D. B. (2004) Bayesian multivariate logistic regression. Biometrics, 60, 739-746.
    • (2004) Biometrics , vol.60 , pp. 739-746
    • O'Brien, S.M.1    Dunson, D.B.2
  • 25
    • 84942378682 scopus 로고    scopus 로고
    • On a class of bias-amplifying variables that endanger effect estimates
    • Preprint arXiv:1203.3503.
    • Pearl, J. (2012) On a class of bias-amplifying variables that endanger effect estimates. Preprint arXiv:1203.3503.
    • (2012)
    • Pearl, J.1
  • 26
    • 0030768405 scopus 로고    scopus 로고
    • Prevalence of hypertension among Navajo indians: findings from the Navajo Health and Nutrition Survey
    • Percy, C., Freedman, D. S., Gilbert, T. J., White, L., Ballew, C. and Mokdad, A. (1997) Prevalence of hypertension among Navajo indians: findings from the Navajo Health and Nutrition Survey. J. Nutrn, 127, suppl., 2114S-2119S.
    • (1997) J. Nutrn , vol.127 , pp. 2114S-2119S
    • Percy, C.1    Freedman, D.S.2    Gilbert, T.J.3    White, L.4    Ballew, C.5    Mokdad, A.6
  • 28
    • 33750176872 scopus 로고    scopus 로고
    • Efficient bayesian inference for Gaussian copula regression models
    • Pitt, M., Chan, D. and Kohn, R. (2006) Efficient bayesian inference for Gaussian copula regression models. Biometrika, 93, 537-554.
    • (2006) Biometrika , vol.93 , pp. 537-554
    • Pitt, M.1    Chan, D.2    Kohn, R.3
  • 29
    • 0001201909 scopus 로고
    • Bayesian model selection in social research
    • Raftery, A. E. (1995) Bayesian model selection in social research. Sociol Methodol., 25, 111-164.
    • (1995) Sociol Methodol. , vol.25 , pp. 111-164
    • Raftery, A.E.1
  • 32
    • 67651021231 scopus 로고    scopus 로고
    • Overadjustment bias and unnecessary adjustment in epidemiologic studies
    • Schisterman, E. F., Cole, S. R. and Platt, R. W. (2009) Overadjustment bias and unnecessary adjustment in epidemiologic studies. Epidemiology, 20, 488-495.
    • (2009) Epidemiology , vol.20 , pp. 488-495
    • Schisterman, E.F.1    Cole, S.R.2    Platt, R.W.3
  • 33
    • 62749159754 scopus 로고    scopus 로고
    • Joint regression analysis of correlated data using Gaussian copulas
    • Song, P. X.-K., Li, M. and Yuan, Y. (2009) Joint regression analysis of correlated data using Gaussian copulas. Biometrics, 65, 60-68.
    • (2009) Biometrics , vol.65 , pp. 60-68
    • Song, P.X.-K.1    Li, M.2    Yuan, Y.3
  • 34
    • 79955989937 scopus 로고    scopus 로고
    • Health and environmental impacts of uranium contamination in the Navajo Nation: five-year plan
    • Report. US Environmental Protection Agency, Washington DC.
    • US Environmental Protection Agency (2008) Health and environmental impacts of uranium contamination in the Navajo Nation: five-year plan. Report. US Environmental Protection Agency, Washington DC. (Available from http://www.epa.gov/region9/superfund/navajo-nation/pdf/NN-5-Year-Plan-June-12.pdf.)
    • (2008)
  • 35
    • 84937495960 scopus 로고    scopus 로고
    • Federal actions to address impacts of uranium contamination in the Navajo Nation: five-year plan summary report
    • Report. US Environmental Protection Agency, Washington DC.
    • US Environmental Protection Agency (2013) Federal actions to address impacts of uranium contamination in the Navajo Nation: five-year plan summary report. Report. US Environmental Protection Agency, Washington DC. (Available from http://www.epa.gov/region9/superfund/navajo-nation/pdf/NavajoUraniumReport2013.pdf.)
    • (2013)
  • 36
    • 78650778119 scopus 로고    scopus 로고
    • Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders
    • VanderWeele, T. J. and Arah, O. A. (2011) Bias formulas for sensitivity analysis of unmeasured confounding for general outcomes, treatments, and confounders. Epidemiology, 22, 42-52.
    • (2011) Epidemiology , vol.22 , pp. 42-52
    • VanderWeele, T.J.1    Arah, O.A.2
  • 37
    • 79953903665 scopus 로고    scopus 로고
    • On model selection and model misspecification in causal inference
    • Vansteelandt, S., Bekaert, M. and Claeskens, G. (2012) On model selection and model misspecification in causal inference. Statist. Meth. Med. Res., 21, 7-30.
    • (2012) Statist. Meth. Med. Res. , vol.21 , pp. 7-30
    • Vansteelandt, S.1    Bekaert, M.2    Claeskens, G.3
  • 38
    • 0035889492 scopus 로고    scopus 로고
    • Variable selection and Bayesian model averaging in case-control studies
    • Viallefont, V., Raftery, A. E. and Richardson, S. (2001) Variable selection and Bayesian model averaging in case-control studies. Statist. Med., 20, 3215-3230.
    • (2001) Statist. Med. , vol.20 , pp. 3215-3230
    • Viallefont, V.1    Raftery, A.E.2    Richardson, S.3
  • 39
    • 84866768287 scopus 로고    scopus 로고
    • Bayesian effect estimation accounting for adjustment uncertainty
    • Wang, C., Parmigiani, G. and Dominici, F. (2012) Bayesian effect estimation accounting for adjustment uncertainty. Biometrics, 68, 661-671.
    • (2012) Biometrics , vol.68 , pp. 661-671
    • Wang, C.1    Parmigiani, G.2    Dominici, F.3
  • 40
    • 0030768858 scopus 로고    scopus 로고
    • Diabetes mellitus among Navajo Indians: findings from the Navajo Health and Nutrition Survey
    • Will, J. C., Strauss, K. F., Mendlein, J. M., Ballew, C., White, L. L. and Peter, D. G. (1997) Diabetes mellitus among Navajo Indians: findings from the Navajo Health and Nutrition Survey. J. Nutrn, 127, suppl., 2106S-2113S.
    • (1997) J. Nutrn , vol.127 , pp. 2106S-2113S
    • Will, J.C.1    Strauss, K.F.2    Mendlein, J.M.3    Ballew, C.4    White, L.L.5    Peter, D.G.6
  • 41
    • 0024205301 scopus 로고
    • Models for longitudinal data: a generalized estimating equation approach
    • Zeger, S. L., Liang, K.-Y. and Albert, P. S. (1988) Models for longitudinal data: a generalized estimating equation approach. Biometrics, 44, 1049-1060.
    • (1988) Biometrics , vol.44 , pp. 1049-1060
    • Zeger, S.L.1    Liang, K.-Y.2    Albert, P.S.3
  • 42
    • 84901800622 scopus 로고    scopus 로고
    • Uncertainty in propensity score estimation: Bayesian methods for variable selection and model averaged causal effects
    • Zigler, C. and Dominici, F. (2014) Uncertainty in propensity score estimation: Bayesian methods for variable selection and model averaged causal effects. J. Am. Statist. Ass., 109, 95-107.
    • (2014) J. Am. Statist. Ass. , vol.109 , pp. 95-107
    • Zigler, C.1    Dominici, F.2


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