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Volumn 56, Issue 5, 2012, Pages 1256-1274

Bayesian model selection for logistic regression models with random intercept

Author keywords

Auxiliary mixture sampling; MCMC; Normal scale mixtures; Spike and slab priors; Variable selection; Variance selection

Indexed keywords

MCMC; SCALE MIXTURES; SPIKE AND SLAB PRIORS; VARIABLE SELECTION; VARIANCE SELECTION;

EID: 84857654522     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.csda.2011.06.033     Document Type: Article
Times cited : (21)

References (36)
  • 1
    • 0002662712 scopus 로고
    • On the existence of maximum likelihood estimates in logistic regression models
    • A. Albert, and J.A. Anderson On the existence of maximum likelihood estimates in logistic regression models Biometrika 71 1984 1 10
    • (1984) Biometrika , vol.71 , pp. 1-10
    • Albert, A.1    Anderson, J.A.2
  • 2
    • 0036901010 scopus 로고    scopus 로고
    • Complications of endoscopic sphincterotomy: Results from a single tertiary referral center
    • DOI 10.1055/s-2002-35834
    • M. Barthet, N. Lesavre, A. Desjeux, M. Gasmi, P. Berthezene, S. Berdah, X. Viviand, and J. Grimaud Complications of endoscopic sphincterotomy: results from a single tertiary referral center Endoscopy 34 2002 991 997 (Pubitemid 35446330)
    • (2002) Endoscopy , vol.34 , Issue.12 , pp. 991-997
    • Barthet, M.1    Lesavre, N.2    Desjeux, A.3    Gasmi, M.4    Berthezene, P.5    Berdah, S.6    Viviand, X.7    Grimaud, J.C.8
  • 4
    • 26444547624 scopus 로고    scopus 로고
    • Generalized structured additive regression based on Bayesian P-splines
    • DOI 10.1016/j.csda.2004.10.011, PII S0167947304003214
    • A. Brezger, and S. Lang Generalized structured additive regression based on Bayesian P-splines Computational Statistics and Data Analysis 50 2006 967 991 (Pubitemid 41427913)
    • (2006) Computational Statistics and Data Analysis , vol.50 , Issue.4 , pp. 967-991
    • Brezger, A.1    Lang, S.2
  • 5
    • 0347994096 scopus 로고    scopus 로고
    • Random Effects Selection in Linear Mixed Models
    • DOI 10.1111/j.0006-341X.2003.00089.x
    • Z. Chen, and D. Dunson Random effects selection in linear mixed models Biometrics 59 2003 762 769 (Pubitemid 38021203)
    • (2003) Biometrics , vol.59 , Issue.4 , pp. 762-769
    • Chen, Z.1    Dunson, D.B.2
  • 6
    • 9244248092 scopus 로고    scopus 로고
    • Complications of ERCP: A prospective study
    • DOI 10.1016/S0016-5107(04)02169-8, PII S0016510704021698
    • M. Christensen, P. Matzen, S. Schulze, and J. Rosenberg Complications of ERCP: a prospective study Gastrointestinal Endoscopy 60 2004 721 731 (Pubitemid 39550929)
    • (2004) Gastrointestinal Endoscopy , vol.60 , Issue.5 , pp. 721-731
    • Christensen, M.1    Matzen, P.2    Schulze, S.3    Rosenberg, J.4
  • 7
    • 67549121475 scopus 로고    scopus 로고
    • Risk factors for complications after ERCP: A multivariate analysis of 11,497 procedures over 12 years
    • P.B. Cotton, D.A. Garrow, J. Gallagher, and J. Romagnuolo Risk factors for complications after ERCP: a multivariate analysis of 11,497 procedures over 12 years Gastrointestinal Endoscopy 70 2009 80 88
    • (2009) Gastrointestinal Endoscopy , vol.70 , pp. 80-88
    • Cotton, P.B.1    Garrow, D.A.2    Gallagher, J.3    Romagnuolo, J.4
  • 8
    • 77953326052 scopus 로고    scopus 로고
    • Bayesian regularisation in structured additive regression: A unifying perspective on shrinkage, smoothing and predictor selection
    • L. Fahrmeir, T. Kneib, and S. Konrath Bayesian regularisation in structured additive regression: a unifying perspective on shrinkage, smoothing and predictor selection Statistics and Computing 20 2010 203 219
    • (2010) Statistics and Computing , vol.20 , pp. 203-219
    • Fahrmeir, L.1    Kneib, T.2    Konrath, S.3
  • 12
    • 37249017545 scopus 로고    scopus 로고
    • Bayesian parsimonious covariance estimation for hierarchical linear mixed models
    • S. Frhwirth-Schnatter, and R. Tchler Bayesian parsimonious covariance estimation for hierarchical linear mixed models Statistics and Computing 18 2008 1 13
    • (2008) Statistics and Computing , vol.18 , pp. 1-13
    • Frhwirth-Schnatter, S.1    Tchler, R.2
  • 14
    • 0034359277 scopus 로고    scopus 로고
    • Diagnostic checks for discrete data regression models using posterior predictive simulations
    • A. Gelman, Y. Goegebeur, F. Tuerlinckx, and I. Van Mechelen Diagnostic checks for discrete data regression models using posterior predictive simulations Applied Statistics 49 2000 247 268
    • (2000) Applied Statistics , vol.49 , pp. 247-268
    • Gelman, A.1    Goegebeur, Y.2    Tuerlinckx, F.3    Van Mechelen, I.4
  • 15
    • 84865371361 scopus 로고    scopus 로고
    • A weakly informative default prior distribution for logistic and other regression models
    • A. Gelman, A. Jakulin, M.G. Pittau, and Y.-S. Su A weakly informative default prior distribution for logistic and other regression models Annals of Applied Statistics 2 2008 1360 1383
    • (2008) Annals of Applied Statistics , vol.2 , pp. 1360-1383
    • Gelman, A.1    Jakulin, A.2    Pittau, M.G.3    Su, Y.-S.4
  • 16
    • 34548105186 scopus 로고    scopus 로고
    • Large-scale bayesian logistic regression for text categorization
    • DOI 10.1198/004017007000000245
    • A. Genkin, D.D. Lewis, and D. Madigan Large-scale Bayesian logistic regression for text categorization Technometrics 49 2007 291 304 (Pubitemid 47292487)
    • (2007) Technometrics , vol.49 , Issue.3 , pp. 291-304
    • Genkin, A.1    Lewis, D.D.2    Madigan, D.3
  • 18
    • 0031526204 scopus 로고    scopus 로고
    • Approaches for bayesian variable selection
    • E.I. George, and R. McCulloch Approaches for Bayesian variable selection Statistica Sinica 7 1997 339 373 (Pubitemid 127473668)
    • (1997) Statistica Sinica , vol.7 , Issue.2 , pp. 339-373
    • George, E.I.1    McCulloch, R.E.2
  • 19
    • 0000647838 scopus 로고    scopus 로고
    • Variable selection and model comparison in regression
    • J.M. Bernardo, J.O. Berger, A.P. Dawid, A. Smith, Oxford University Press Oxford
    • J. Geweke Variable selection and model comparison in regression J.M. Bernardo, J.O. Berger, A.P. Dawid, A. Smith, Bayesian Statistics 5Proceedings of the Fifth Valencia International Meeting 1996 Oxford University Press Oxford 609 620
    • (1996) Bayesian Statistics 5Proceedings of the Fifth Valencia International Meeting , pp. 609-620
    • Geweke, J.1
  • 20
    • 84972511893 scopus 로고
    • Practical Markov chain Monte Carlo
    • C. Geyer Practical Markov chain Monte Carlo Statistical Science 7 1992 473 511
    • (1992) Statistical Science , vol.7 , pp. 473-511
    • Geyer, C.1
  • 21
    • 78650337471 scopus 로고    scopus 로고
    • Inference with normal-gamma prior distributions in regression problems
    • J. Griffin, and P.J. Brown Inference with normal-gamma prior distributions in regression problems Bayesian Analysis 5 2010 171 188
    • (2010) Bayesian Analysis , vol.5 , pp. 171-188
    • Griffin, J.1    Brown, P.J.2
  • 22
    • 33845900763 scopus 로고    scopus 로고
    • A comparative investigation of methods for logistics regression with separated or nearly separated data
    • DOI 10.1002/sim.2687
    • G. Heinze A comparative investigation of methods for logistic regression with separated or nearly separated data Statistics in Medicine 25 2006 4216 4226 (Pubitemid 46023766)
    • (2006) Statistics in Medicine , vol.25 , Issue.24 , pp. 4216-4226
    • Heinze, G.1
  • 23
    • 0037199788 scopus 로고    scopus 로고
    • A solution to the problem of separation in logistic regression
    • G. Heinze, and M. Schemper A solution to the problem of separation in logistic regression Statistics in Medicine 21 2002 2409 2419
    • (2002) Statistics in Medicine , vol.21 , pp. 2409-2419
    • Heinze, G.1    Schemper, M.2
  • 24
    • 0042744696 scopus 로고    scopus 로고
    • Detecting differentially expressed genes in microarrays using Bayesian model selection
    • DOI 10.1198/016214503000224
    • H. Ishwaran, and S.J. Rao Detecting differentially expressed genes in microarrays using Bayesian model selection Journal of the American Statistical Association 98 2003 438 455 (Pubitemid 36931567)
    • (2003) Journal of the American Statistical Association , vol.98 , Issue.462 , pp. 438-455
    • Ishwaran, H.1    Rao, J.S.2
  • 25
    • 22944460748 scopus 로고    scopus 로고
    • Spike and slab variable selection: Frequentist and bayesian strategies
    • DOI 10.1214/009053604000001147
    • H. Ishwaran, and S.J. Rao Spike and slab variable selection; frequentist and Bayesian strategies Annals of Statistics 33 2005 730 773 (Pubitemid 41053721)
    • (2005) Annals of Statistics , vol.33 , Issue.2 , pp. 730-773
    • Ishwaran, H.1    Rao, J.S.2
  • 26
    • 49749090734 scopus 로고    scopus 로고
    • Case volume and outcome of endoscopic retrograde cholangiopancreatography: Results of a nationwide austrian benchmarking project
    • C. Kapral, C. Duller, F. Wewalka, E. Kerstan, W. Vogel, and F. Schreiber Case volume and outcome of endoscopic retrograde cholangiopancreatography: results of a nationwide austrian benchmarking project Endoscopy 40 2008 625 630
    • (2008) Endoscopy , vol.40 , pp. 625-630
    • Kapral, C.1    Duller, C.2    Wewalka, F.3    Kerstan, E.4    Vogel, W.5    Schreiber, F.6
  • 30
    • 0041327199 scopus 로고
    • * (z) and computation of the logistic normal integral
    • N. Balakrishnan, Marcel Dekker New York
    • * (z) and computation of the logistic normal integral N. Balakrishnan, Handbook of the Logistic Distribution 1992 Marcel Dekker New York 529 549
    • (1992) Handbook of the Logistic Distribution , pp. 529-549
    • Monahan, J.F.1    Stefanski, L.2
  • 31
    • 79951480123 scopus 로고    scopus 로고
    • R Development Core Team R Foundation for Statistical Computing, Vienna, Austria. ISBN: 3-900051-07-0
    • R Development Core Team, 2010. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN: 3-900051-07-0.
    • (2010) R: A Language and Environment for Statistical Computing
  • 32
    • 0042666657 scopus 로고    scopus 로고
    • Existence of Bayes estimators for the binomial logit model
    • D.A. Berry, K.M. Chaloner, J.K. Geweke, John Wiley & Sons New York
    • P. Rossi Existence of Bayes estimators for the binomial logit model D.A. Berry, K.M. Chaloner, J.K. Geweke, Bayesian Analysis in Statistics and Econometrics 1996 John Wiley & Sons New York 91 100
    • (1996) Bayesian Analysis in Statistics and Econometrics , pp. 91-100
    • Rossi, P.1
  • 33
    • 0000824232 scopus 로고    scopus 로고
    • Nonparametric regression using Bayesian variable selection
    • DOI 10.1016/0304-4076(95)01763-1
    • M. Smith, and R. Kohn Nonparametric regression using Bayesian variable selection Journal of Econometrics 75 1996 317 343 (Pubitemid 126372818)
    • (1996) Journal of Econometrics , vol.75 , Issue.2 , pp. 317-343
    • Smith, M.1    Kohn, R.2
  • 34
    • 0036970576 scopus 로고    scopus 로고
    • Parsimonious covariance matrix estimation for longitudinal data
    • DOI 10.1198/016214502388618942
    • M. Smith, and R. Kohn Parsimonious covariance matrix estimation for longitudinal data Journal of the American Statistical Association 97 2002 1141 1153 (Pubitemid 36136572)
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.460 , pp. 1141-1153
    • Smith, M.1    Kohn, R.2
  • 35
    • 41949117135 scopus 로고    scopus 로고
    • Bayesian variable selection for logistic models using auxiliary mixture sampling
    • R. Tchler Bayesian variable selection for logistic models using auxiliary mixture sampling Journal of Computational and Graphical Statistics 17 2008 76 94
    • (2008) Journal of Computational and Graphical Statistics , vol.17 , pp. 76-94
    • Tchler, R.1
  • 36
    • 77249140934 scopus 로고    scopus 로고
    • Bayesian estimation of random effects models for multivariate responses of mixed data
    • H. Wagner, and R. Tchler Bayesian estimation of random effects models for multivariate responses of mixed data Computational Statistics and Data Analysis 54 2010 1206 1218
    • (2010) Computational Statistics and Data Analysis , vol.54 , pp. 1206-1218
    • Wagner, H.1    Tchler, R.2


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