메뉴 건너뛰기




Volumn 7, Issue 3, 2007, Pages 255-273

Bayesian model selection for logistic regression with misclassified outcomes

Author keywords

Logistic regression; Metropolis Hastings; Misclassification; Model uncertainty

Indexed keywords


EID: 37449004573     PISSN: 1471082X     EISSN: 14770342     Source Type: Journal    
DOI: 10.1177/1471082X0700700303     Document Type: Article
Times cited : (29)

References (21)
  • 1
    • 0038036586 scopus 로고    scopus 로고
    • Estimation of a logistic regression model with mismeasured observations
    • Cheng KF and Hsueh HM (2003) Estimation of a logistic regression model with mismeasured observations. Statistica Sinica, 13, 111-27.
    • (2003) Statistica Sinica , vol.13 , pp. 111-127
    • Cheng, K.F.1    Hsueh, H.M.2
  • 3
    • 0000912431 scopus 로고
    • Implications of errors in survey data: A Bayesian model
    • Gaba A and Winkler RL (1992) Implications of errors in survey data: a Bayesian model. Management Science, 38(7), 913-25.
    • (1992) Management Science , vol.38 , Issue.7 , pp. 913-925
    • Gaba, A.1    Winkler, R.L.2
  • 4
    • 84867086419 scopus 로고    scopus 로고
    • Prior distributions for variance parameters in hierarchical models
    • Gelman A (2006) Prior distributions for variance parameters in hierarchical models. Bayesian Analysis, 1(3), 515-33.
    • (2006) Bayesian Analysis , vol.1 , Issue.3 , pp. 515-533
    • Gelman, A.1
  • 5
    • 0036000545 scopus 로고    scopus 로고
    • Bayesian variable selection in logistic regression: Predicting company earnings direction
    • Gerlach R, Bird R and Hall A (2002) Bayesian variable selection in logistic regression: predicting company earnings direction. Australian and New Zealand Journal of Statistics, 44(2), 155-68.
    • (2002) Australian and New Zealand Journal of Statistics , vol.44 , Issue.2 , pp. 155-168
    • Gerlach, R.1    Bird, R.2    Hall, A.3
  • 6
    • 37449012677 scopus 로고    scopus 로고
    • Gerlach R and Eyre T (2004) Bayesian variable selection in discrete regression models. School of Mathematical and Physical Sciences Working Paper Series No. 003, University of Newcastle, Australia.
    • Gerlach R and Eyre T (2004) Bayesian variable selection in discrete regression models. School of Mathematical and Physical Sciences Working Paper Series No. 003, University of Newcastle, Australia.
  • 8
    • 0034997533 scopus 로고    scopus 로고
    • Case-control analysis with partial knowledge of exposure misclassification probabilities
    • Gustafson P, Le ND and Saskin R (2001) Case-control analysis with partial knowledge of exposure misclassification probabilities. Biometrics, 57(2), 598-609.
    • (2001) Biometrics , vol.57 , Issue.2 , pp. 598-609
    • Gustafson, P.1    Le, N.D.2    Saskin, R.3
  • 9
    • 0042042985 scopus 로고
    • On the use of double sampling schemes in analyzing categorical data with misclassification errors
    • Hochberg Y (1977) On the use of double sampling schemes in analyzing categorical data with misclassification errors. Journal of the American Statistical Association, 72(360), 914-21.
    • (1977) Journal of the American Statistical Association , vol.72 , Issue.360 , pp. 914-921
    • Hochberg, Y.1
  • 10
    • 0038523577 scopus 로고    scopus 로고
    • Risk profiles of adolescent girls who were victims of dating violence
    • Howard D and Wang M (2003) Risk profiles of adolescent girls who were victims of dating violence. Adolescence, 38, 1-14.
    • (2003) Adolescence , vol.38 , pp. 1-14
    • Howard, D.1    Wang, M.2
  • 11
    • 0028830661 scopus 로고
    • Bayesian estimation of disease prevalence and parameters of diagnostic tests in the absence of a gold standard
    • Joseph L, Gyorkos TW and Coupal L (1995) Bayesian estimation of disease prevalence and parameters of diagnostic tests in the absence of a gold standard. American Journal of Epidemiology, 141(3), 263-72.
    • (1995) American Journal of Epidemiology , vol.141 , Issue.3 , pp. 263-272
    • Joseph, L.1    Gyorkos, T.W.2    Coupal, L.3
  • 12
    • 0030609723 scopus 로고    scopus 로고
    • Logistic regression when the outcome is measured with uncertainty
    • Magder L and Hughes J (1997) Logistic regression when the outcome is measured with uncertainty. American Journal of Epidemiology, 146(2), 195-203.
    • (1997) American Journal of Epidemiology , vol.146 , Issue.2 , pp. 195-203
    • Magder, L.1    Hughes, J.2
  • 14
    • 0042334724 scopus 로고    scopus 로고
    • Binomial regression with misclassification
    • Paulino C, Soares P and Neuhaus J (2003) Binomial regression with misclassification. Biometrics, 59(3), 670-75.
    • (2003) Biometrics , vol.59 , Issue.3 , pp. 670-675
    • Paulino, C.1    Soares, P.2    Neuhaus, J.3
  • 15
    • 13644271083 scopus 로고    scopus 로고
    • Bayesian analysis of misclassified binary data from a matched case-control study with a validation sub-study
    • Prescott G and Garthwaite P (2005) Bayesian analysis of misclassified binary data from a matched case-control study with a validation sub-study. Statistics in Medicine, 24(3), 379-401.
    • (2005) Statistics in Medicine , vol.24 , Issue.3 , pp. 379-401
    • Prescott, G.1    Garthwaite, P.2
  • 17
    • 12344262002 scopus 로고    scopus 로고
    • Measurement error model for raisclassified binary responses
    • Roy S, Banergee T and Maiti T (2005) Measurement error model for raisclassified binary responses. Statistics in Medicine, 24(2), 269-83.
    • (2005) Statistics in Medicine , vol.24 , Issue.2 , pp. 269-283
    • Roy, S.1    Banergee, T.2    Maiti, T.3
  • 18
    • 0000824232 scopus 로고    scopus 로고
    • Nonparametric regression using Bayesian variable selection
    • Smith M and Kohn R (1996) Nonparametric regression using Bayesian variable selection. Journal of Econometrics, 75, 317-44.
    • (1996) Journal of Econometrics , vol.75 , pp. 317-344
    • Smith, M.1    Kohn, R.2
  • 19
    • 84950649045 scopus 로고
    • A double sampling scheme for estimating from binomial data with misclassification
    • Tenenbein A (1970) A double sampling scheme for estimating from binomial data with misclassification. Journal of the American Statistical Association, 65(331), 1350-61.
    • (1970) Journal of the American Statistical Association , vol.65 , Issue.331 , pp. 1350-1361
    • Tenenbein, A.1
  • 21
    • 0025929731 scopus 로고
    • Poisson regression with misclassified counts: Application to cervical cancer mortality rates
    • Whittemore AS and Gong G (1991) Poisson regression with misclassified counts: application to cervical cancer mortality rates. Applied Statistics, 40, 81-93.
    • (1991) Applied Statistics , vol.40 , pp. 81-93
    • Whittemore, A.S.1    Gong, G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.