Bayesian Profile Regression to Deal With Multiple Highly Correlated Exposures and a Censored Survival Outcome. First Application in Ionizing Radiation Epidemiology
Tóm tắt
Từ khóa
Tài liệu tham khảo
Buck Louis, 2013, The exposome-exciting opportunities for discoveries in reproductive and perinatal epidemiology, Paediatr Perinat Epidemiol, 27, 229, 10.1111/ppe.12040
Rappaport, 2014, The blood exposome and its role in discovering causes of disease, Environ Health Perspect, 122, 769, 10.1289/ehp.1308015
Vrijheid, 2014, The exposome: a new paradigm to study the impact of environment on health, Thorax, 69, 876, 10.1136/thoraxjnl-2013-204949
Wild, 2005, Complementing the genome with an “exposome”: the outstanding challenge of environmental exposure measurement in molecular epidemiology, Cancer Epidemiol Biomark Prev, 14, 1847, 10.1158/1055-9965.EPI-05-0456
Eiband, 1989, Prognostic factors in squamous cell carcinoma of the larynx, Am J Surg, 158, 314, 10.1016/0002-9610(89)90123-2
Lin, 1981, A multifactorial model for pancreatic cancer in man: epidemiologic evidence, JAMA, 245, 147, 10.1001/jama.245.2.147
Zabaleta, 2012, Multifactorial etiology of gastric cancer, Methods Mol Biol, 863, 411, 10.1007/978-1-61779-612-8_26
Steliga, 2011, Epidemiology of lung cancer: smoking, secondhand smoke, and genetics, Surg Oncol Clin, 20, 605, 10.1016/j.soc.2011.07.003
Li, 2020, Associations between long-term exposure to air pollution and blood pressure and effect modifications by behavioral factors, Environ Res, 182, 109, 10.1016/j.envres.2019.109109
Dominici, 2010, Protecting human health from air pollution: shifting from a single-pollutant to a multi-pollutant approach, Epidemiology, 21, 187, 10.1097/EDE.0b013e3181cc86e8
Greenland, 1999, Causal diagrams for epidemiologic research, Epidemiology, 10, 37, 10.1097/00001648-199901000-00008
Bell, 2006, Potential confounding of particulate matter on the short-term association between ozone and mortality in multisite time-series studies, Environ Health Perspect, 115, 1591, 10.1289/ehp.10108
Klebe, 2019, Asbestos, smoking and lung cancer: an update, Int J Environ Res Public Health, 17, 258, 10.3390/ijerph17010258
Leuraud, 2011, Radon, smoking and lung cancer risk: results of a joint analysis of three European case-control studies among uranium miners, Radiat Res, 176, 375, 10.1667/RR2377.1
Lin, 2019, Ambient PM2.5 and O3 and their combined effects on prevalence of presbyopia among the elderly: a cross-sectional study in six low- and middle-income countries, Sci Total Environ, 655, 168, 10.1016/j.scitotenv.2018.11.239
2017, Sources, Effects and Risks of Ionizing Radiation. UNSCEAR 2017 Report with Scientific Annexes A and B
2006, Heath Risks From Exposure to Low Levels of Ionizing Radiation. BEIR VII Phase 2
Billionnet, 2012, Estimating the health effects of exposure to multi-pollutant mixture, Ann Epidemiol, 22, 126, 10.1016/j.annepidem.2011.11.004
Slama, 2015, Some challenges of studies aiming to relate the exposome to human health, Occup Environ Med, 72, 383, 10.1136/oemed-2014-102546
Farrar, 1967, Multicollinearity in regression analysis: the problem revisited, Rev Econ Stat., 49, 92, 10.2307/1937887
Mela, 2002, The impact of collinearity on analysis: the asymmetric effect of negative and positive correlations, Appl Econ, 34, 667, 10.1080/00036840110058482
Tu, 2004, Collinearity in linear regression is a serious problem in oral health research, Eur J Oral Sci, 112, 389, 10.1111/j.1600-0722.2004.00160.x
Vatcheva, 2016, Multicollinearity in regression analyses conducted in epidemiologic studies, Epidemiology, 6, 227, 10.4172/2161-1165.1000227
Patel, 2010, An Environment-Wide Association Study (EWAS) on type 2 diabetes mellitus, PLoS ONE, 5, e10746, 10.1371/journal.pone.0010746
Rage, 2015, Mortality analyses in the updated French cohort of uranium miners (1946–2007), Int Archiv Occupat Environ Health, 88, 717, 10.1007/s00420-014-0998-6
Lenters, 2016, Prenatal phthalate, perfluoroalkyl acid, and organochlorine exposures and term birth weight in three birth cohorts: multi-pollutant models based on elastic net regression, Environ Health Perspect, 124, 365, 10.1289/ehp.1408933
Bottolo, 2010, Evolutionary stochastic search for Bayesian model exploration, Bayesian Anal, 5, 583, 10.1214/10-BA523
Massy, 1965, Principal components regression in exploratory statistical research, J Am Stat Assoc, 60, 234, 10.1080/01621459.1965.10480787
Jain, 2018, A multivariate approach to investigate the combined biological effects of multiple exposures, J Epidemiol Community Health, 72, 564, 10.1136/jech-2017-210061
Wold, 1984, The collinearity problem in linear regression. The partial least squares (PLS) approach to generalized inverses, SIAM J Sci Stat Comput, 5, 735, 10.1137/0905052
Marshall, 2001, The use of classification and regression trees in clinical epidemiology, J Clin Epidemiol, 54, 603, 10.1016/S0895-4356(00)00344-9
Forgy, 1965, Cluster analysis of multivariate data: efficiency vs interpretability of classifications, Biometrics, 21, 768
Patterson, 2002, Latent class analysis of complex sample survey data: application to dietary data, J Am Stat Assoc, 97, 721, 10.1198/016214502388618465
Molitor, 2010, Bayesian profile regression with an application to the National Survey of Children's Health, Biostatistics, 11, 484, 10.1093/biostatistics/kxq013
Agier, 2016, A systematic comparison of linear regression-based statistical methods to assess exposome-health associations, Environ Health Perspect, 124, 1848, 10.1289/EHP172
Wold, 1987, Principal component analysis, Chemometr Intell Lab Syst, 2, 37, 10.1016/0169-7439(87)80084-9
Papathomas, 2012, Exploring data from genetic association studies using Bayesian variable selection and the Dirichlet process: application to searching for gene × gene patterns, Genet Epidemiol, 36, 663, 10.1002/gepi.21661
Papathomas, 2011, Examining the joint effect of multiple risk factors using exposure risk profiles: lung cancer in nonsmokers, Environ Health Perspect, 119, 84, 10.1289/ehp.1002118
Coker, 2018, Multi-pollutant modeling through examination of susceptible subpopulations using profile regression, Curr Environ Health Rep, 5, 59, 10.1007/s40572-018-0177-0
Pirani, 2015, Analysing the health effects of simultaneous exposure to physical and chemical properties of airborne particles, Environ Int, 79, 56, 10.1016/j.envint.2015.02.010
Liverani, 2016, Modelling collinear and spatially correlated data, Spatial Spatiotemp Epidemiol, 18, 63, 10.1016/j.sste.2016.04.003
Hastie, 2013, A semi-parametric approach to estimate risk functions associated with multi-dimensional exposure profiles: application to smoking and lung cancer, BMC Med Res Methodol, 13, 129, 10.1186/1471-2288-13-129
Mattei, 2016, Multidimensional analysis of the effect of occupational exposure to organic solvents on lung cancer risk: the ICARE study, Occupat Environ Med, 73, 368, 10.1136/oemed-2015-103177
Liverani, 2015, PReMiuM: an R package for profile regression mixture models using Dirichlet processes, J Stat Softw, 64, 1, 10.18637/jss.v064.i07
Hoffmann, 2017, Accounting for Berkson and classical measurement error in radon exposure using a Bayesian structural approach in the analysis of lung cancer mortality in the French cohort of uranium miners, Radiat Res, 187, 196, 10.1667/RR14467.1
Vacquier, 2011, The influence of multiple types of occupational exposure to radon, gamma rays and long-lived radionuclides on mortality risk in the French “post-55” sub-cohort of uranium miners: 1956–1999, Radiat Res, 176, 796, 10.1667/RR2558.1
1988, IARC Working Group on the Evaluation of Carcinogenic Risks to Humans Which Met in Lyon. Man-Made Mineral Fibres and Radon
Rage, 2012, Risk of lung cancer mortality in relation to lung doses among French uranium miners: follow-up 1956-1999, Radiat Res, 177, 288, 10.1667/RR2689.1
Bhatia, 1998, Diesel exhaust exposure and lung cancer, Epidemiology, 9, 84, 10.1097/00001648-199801000-00017
Allodji, 2011, Prise en compte des erreurs de mesure dans l'analyse du risque associe a l'exposition aux rayonnements ionisants dans une cohorte professionnelle: application á la cohorte française des mineurs d'uranium
Kleinbaum, 2010, Survival Analysis
Crosfill, 1959, Variation of sensitivity to ionizing radiation with age, Nature, 183, 1729, 10.1038/1831729a0
Ohlssen, 2007, Flexible random-effects models using Bayesian semi-parametric models: applications to institutional comparisons, Stat Med, 26, 2088, 10.1002/sim.2666
Ishwaran, 2000, Markov chain Monte Carlo in approximate Dirichlet and beta two-parameter process hierarchical models, Biometrika, 87, 371, 10.1093/biomet/87.2.371
Kreuzer, 2017, Leukaemia mortality and low-dose ionising radiation in the WISMUT uranium miner cohort (1946–2013), Occupat Environ Med, 74, 252, 10.1136/oemed-2016-103795
Papaspiliopoulos, 2008, Retrospective Markov chain Monte Carlo methods for Dirichlet process hierarchical models, Biometrika, 95, 169, 10.1093/biomet/asm086
Hastie, 2015, Sampling from Dirichlet process mixture models with unknown concentration parameter: mixing issues in large data implementations, Stat Comput, 25, 1023, 10.1007/s11222-014-9471-3
Spiegelhalter, 2002, Bayesian measures of model complexity and fit, J R Stat Soc B Stat Methodol, 64, 583, 10.1111/1467-9868.00353
Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory357194 WatanabeS J Mach Learn Res112010
Betancourt, 2015, Hamiltonian Monte Carlo for hierarchical models, Curr Trends Bayes Methodol Appl, 79, 30, 10.1201/b18502-5
Neal, 1994, An improved acceptance procedure for the hybrid Monte Carlo algorithm, J Comput Phys, 111, 194, 10.1006/jcph.1994.1054
Richardson, 2014, Assessment and indirect adjustment for confounding by smoking in cohort studies using relative hazards models, Am J Epidemiol, 180, 933, 10.1093/aje/kwu211
Allodji, 2012, Assessment of uncertainty associated with measuring exposure to radon and decay products in the French uranium miners cohort, J Radiol Protec, 32, 85, 10.1088/0952-4746/32/1/85
Gustafson, 2003, Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments, 10.1201/9780203502761
Armstrong, 1998, Effect of measurement error on epidemiological studies of environmental and occupational exposures, Occupat Environ Med, 55, 651, 10.1136/oem.55.10.651