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Volumn 18, Issue 2, 2007, Pages 199-207

Bayesian methods for highly correlated exposure data

Author keywords

[No Author keywords available]

Indexed keywords

HERBICIDE; PESTICIDE;

EID: 33847049045     PISSN: 10443983     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.ede.0000256320.30737.c0     Document Type: Article
Times cited : (98)

References (34)
  • 2
    • 19544387183 scopus 로고    scopus 로고
    • Retinal degeneration and other eye disorders in wives of farmer pesticide applicators enrolled in the Agricultural Health Study
    • Kirrane EF, Hoppin JA, Kamel F, et al. Retinal degeneration and other eye disorders in wives of farmer pesticide applicators enrolled in the Agricultural Health Study. Am J Epidemiol. 2005;161:1020-1029.
    • (2005) Am J Epidemiol , vol.161 , pp. 1020-1029
    • Kirrane, E.F.1    Hoppin, J.A.2    Kamel, F.3
  • 3
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for non-orthogonal problems
    • Hoerl AE, Kennard RW. Ridge regression: biased estimation for non-orthogonal problems. Technometrics. 1970;12:55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.W.2
  • 4
    • 0032924944 scopus 로고    scopus 로고
    • Causal diagrams for epidemiologic research
    • Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology. 1999;10:37-48.
    • (1999) Epidemiology , vol.10 , pp. 37-48
    • Greenland, S.1    Pearl, J.2    Robins, J.M.3
  • 5
    • 0026595921 scopus 로고
    • A semi-Bayes approach to the analysis of correlated multiple associations, with an application to an occupational cancer-mortality study
    • Greenland S. A semi-Bayes approach to the analysis of correlated multiple associations, with an application to an occupational cancer-mortality study. Stat Med. 1992;11:219-230.
    • (1992) Stat Med , vol.11 , pp. 219-230
    • Greenland, S.1
  • 6
    • 0033994631 scopus 로고    scopus 로고
    • Principles of multilevel modelling
    • Greenland S. Principles of multilevel modelling. Int. J. Epid. 2000;29:158-167.
    • (2000) Int. J. Epid , vol.29 , pp. 158-167
    • Greenland, S.1
  • 7
    • 84942487147 scopus 로고
    • Ridge regression: Applications to nonorthogonal problems
    • Hoerl AE, Kennard RW. Ridge regression: applications to nonorthogonal problems. Technometrics. 1970;12:69-82.
    • (1970) Technometrics , vol.12 , pp. 69-82
    • Hoerl, A.E.1    Kennard, R.W.2
  • 8
    • 0035028166 scopus 로고    scopus 로고
    • An application of hierarchical regression in the investigation of multiple paternal occupational exposures and neuroblastoma in offspring
    • De Roos AJ, Poole C, Teschke K, et al. An application of hierarchical regression in the investigation of multiple paternal occupational exposures and neuroblastoma in offspring. Am J Ind Med. 2001;39:477-486.
    • (2001) Am J Ind Med , vol.39 , pp. 477-486
    • De Roos, A.J.1    Poole, C.2    Teschke, K.3
  • 9
    • 20544441986 scopus 로고    scopus 로고
    • Risk of spontaneous preterm birth is associated with common proinflammatory cytokine polymorphisms
    • Engel SA, Erichsen HC, Savitz DA, et al. Risk of spontaneous preterm birth is associated with common proinflammatory cytokine polymorphisms. Epidemiology. 2005;16:469-477.
    • (2005) Epidemiology , vol.16 , pp. 469-477
    • Engel, S.A.1    Erichsen, H.C.2    Savitz, D.A.3
  • 10
    • 20544449432 scopus 로고    scopus 로고
    • Risk of small-for-gestational age is associated with common anti-inflammatory cytokine polymorphisms
    • Engel SA, Olshan AF, Savitz DA, et al. Risk of small-for-gestational age is associated with common anti-inflammatory cytokine polymorphisms. Epidemiology. 2005;16:478-486.
    • (2005) Epidemiology , vol.16 , pp. 478-486
    • Engel, S.A.1    Olshan, A.F.2    Savitz, D.A.3
  • 11
    • 0027189767 scopus 로고
    • Methods for epidemiologic analyses of multiple exposures: A review and comparative study of maximum-likelihood, preliminary-testing, and empirical-Bayes regression
    • Greenland S. Methods for epidemiologic analyses of multiple exposures: a review and comparative study of maximum-likelihood, preliminary-testing, and empirical-Bayes regression. Stat Med. 1993;12:717-736.
    • (1993) Stat Med , vol.12 , pp. 717-736
    • Greenland, S.1
  • 12
    • 0028073159 scopus 로고
    • Hierarchical regression for epidemiologic analyses of multiple exposures
    • Greenland S. Hierarchical regression for epidemiologic analyses of multiple exposures. Environ Health Perspect. 1994;102(Suppl 8):33-39.
    • (1994) Environ Health Perspect , vol.102 , Issue.SUPPL. 8 , pp. 33-39
    • Greenland, S.1
  • 13
    • 0028115956 scopus 로고
    • Empirical-Bayes and semi-Bayes approaches to occupational and environmental hazard surveillance
    • Greenland S, Poole C. Empirical-Bayes and semi-Bayes approaches to occupational and environmental hazard surveillance. Arch Environ Health. 1994;49:9-16.
    • (1994) Arch Environ Health , vol.49 , pp. 9-16
    • Greenland, S.1    Poole, C.2
  • 14
    • 33847067681 scopus 로고    scopus 로고
    • Ferguson TS. A Bayesian analysis of some nonparametric problems. Ann Stat. 1973;1:209-230.
    • Ferguson TS. A Bayesian analysis of some nonparametric problems. Ann Stat. 1973;1:209-230.
  • 15
    • 0000780135 scopus 로고
    • Prior distributions on spaces of probability measures
    • Ferguson TS. Prior distributions on spaces of probability measures. Ann Stat. 1974;2:615-629.
    • (1974) Ann Stat , vol.2 , pp. 615-629
    • Ferguson, T.S.1
  • 16
    • 0032354013 scopus 로고    scopus 로고
    • Bayesian multiple comparisons using Dirichlet process priors
    • Gopalan R, Berry DA. Bayesian multiple comparisons using Dirichlet process priors. J Am Stat Assoc. 1998;93:1130-1139.
    • (1998) J Am Stat Assoc , vol.93 , pp. 1130-1139
    • Gopalan, R.1    Berry, D.A.2
  • 18
    • 0000297493 scopus 로고    scopus 로고
    • Approximate Bayes factors and accounting for model uncertainty in generalised linear models
    • Raftery AE. Approximate Bayes factors and accounting for model uncertainty in generalised linear models. Biometrika. 1996;83:251-66.
    • (1996) Biometrika , vol.83 , pp. 251-266
    • Raftery, A.E.1
  • 19
    • 0002276308 scopus 로고
    • Assessment and propagation of model uncertainty
    • Draper D. Assessment and propagation of model uncertainty. J Roy Statist Soc B. 1995;57:45-70.
    • (1995) J Roy Statist Soc B , vol.57 , pp. 45-70
    • Draper, D.1
  • 20
    • 0035992248 scopus 로고    scopus 로고
    • Empirical Bayes methods and false discovery rates for microarrays
    • Efron B, Tibshirani R. Empirical Bayes methods and false discovery rates for microarrays. Genet Epidemiol. 2002;23:70-86.
    • (2002) Genet Epidemiol , vol.23 , pp. 70-86
    • Efron, B.1    Tibshirani, R.2
  • 21
    • 0034923013 scopus 로고    scopus 로고
    • On differential variability of expression ratios: Improving statistical inference about gene expression changes from microarray data
    • Newton MA, Kendziorski CM, Blattner FR, et al. On differential variability of expression ratios: improving statistical inference about gene expression changes from microarray data. J Comput Biol. 2001;8:37-52.
    • (2001) J Comput Biol , vol.8 , pp. 37-52
    • Newton, M.A.1    Kendziorski, C.M.2    Blattner, F.R.3
  • 22
    • 0000647838 scopus 로고    scopus 로고
    • Variable selection and model comparison in regression
    • Bernardo JM, Berger JO, Dawid AP, et al, eds, Oxford: Oxford Press
    • Geweke J. Variable selection and model comparison in regression. In: Bernardo JM, Berger JO, Dawid AP, et al, eds. Bayesian Statistics 5. Oxford: Oxford Press 1996:609-620.
    • (1996) Bayesian Statistics 5 , pp. 609-620
    • Geweke, J.1
  • 23
    • 0022376873 scopus 로고
    • The problem of multiple inference in studies designed to generate hypotheses
    • Thomas DC, Siemiatycki J, Dewar R, et al. The problem of multiple inference in studies designed to generate hypotheses. Am J Epidemiol. 1985;122:1080-1095.
    • (1985) Am J Epidemiol , vol.122 , pp. 1080-1095
    • Thomas, D.C.1    Siemiatycki, J.2    Dewar, R.3
  • 24
    • 22944460748 scopus 로고    scopus 로고
    • Spike and slab variable selection: Frequentist and Bayesian strategies
    • Ishwaran H, Rao JS. Spike and slab variable selection: frequentist and Bayesian strategies. Ann Stat. 2005;33:730-773.
    • (2005) Ann Stat , vol.33 , pp. 730-773
    • Ishwaran, H.1    Rao, J.S.2
  • 26
    • 33847083094 scopus 로고    scopus 로고
    • A comparison of Bayesian and likelihood-based methods for fitting multilevel models
    • Browne WJ, Draper D. A comparison of Bayesian and likelihood-based methods for fitting multilevel models. Biostatistics. 2006;1:473-514.
    • (2006) Biostatistics , vol.1 , pp. 473-514
    • Browne, W.J.1    Draper, D.2
  • 27
    • 0021518209 scopus 로고
    • Stochastic relaxation, Giggs distributions and the Bayesian restoration of images
    • Geman S, Geman D. Stochastic relaxation, Giggs distributions and the Bayesian restoration of images. IEEE Trans Pattern Analysis Machine Intelligence. 1984;6:721-741.
    • (1984) IEEE Trans Pattern Analysis Machine Intelligence , vol.6 , pp. 721-741
    • Geman, S.1    Geman, D.2
  • 28
    • 84937730674 scopus 로고
    • Explaining the Gibbs Sampler
    • Casella G, George E. Explaining the Gibbs Sampler. Am Stat. 1992;46:167-174.
    • (1992) Am Stat , vol.46 , pp. 167-174
    • Casella, G.1    George, E.2
  • 30
    • 0031810957 scopus 로고    scopus 로고
    • Software for hierarchical modeling of epidemiologic data
    • Witte JS, Greenland S, Kim L. Software for hierarchical modeling of epidemiologic data. Epidemiology. 1998;9:563-566.
    • (1998) Epidemiology , vol.9 , pp. 563-566
    • Witte, J.S.1    Greenland, S.2    Kim, L.3
  • 31
    • 33644504854 scopus 로고    scopus 로고
    • Nonparametric empirical Bayes for the Dirichlet process mixture model
    • McAuliffe JD, Blei DM, Jordan MI. Nonparametric empirical Bayes for the Dirichlet process mixture model. Stat Comput. 2006;16:5-15.
    • (2006) Stat Comput , vol.16 , pp. 5-15
    • McAuliffe, J.D.1    Blei, D.M.2    Jordan, M.I.3
  • 32
    • 84950937290 scopus 로고
    • Bayesian density estimation and inference using mixtures
    • Escobar MD, West M. Bayesian density estimation and inference using mixtures. J Am Stat Assoc. 1995;90:577-588.
    • (1995) J Am Stat Assoc , vol.90 , pp. 577-588
    • Escobar, M.D.1    West, M.2
  • 33


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.