메뉴 건너뛰기




Volumn 28, Issue 28, 2009, Pages 3492-3508

Bayesian modeling of multivariate spatial binary data with applications to dental caries

Author keywords

Autologistic; Binary; Caries; MCMC; Spatial; Winbugs

Indexed keywords

ADOLESCENT; ADULT; AGED; AUTOLOGISTIC MODEL; BAYES THEOREM; CLINICAL STUDY; CLINICAL TRIAL; CONFERENCE PAPER; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; DATA ANALYSIS; DENTAL CARIES; DENTAL HEALTH; FEMALE; HUMAN; INTERMETHOD COMPARISON; MAJOR CLINICAL STUDY; MALE; MEDICAL RESEARCH; PROBABILITY; RANDOMIZED CONTROLLED TRIAL; STATISTICAL MODEL;

EID: 70449703351     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3647     Document Type: Conference Paper
Times cited : (17)

References (50)
  • 3
    • 0004111082 scopus 로고    scopus 로고
    • Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, Jha P, Mills A, Musgrove P (eds). (2nd edn). Oxford University Press: New York
    • Jamison DT, Breman JG, Measham AR, Alleyne G, Claeson M, Evans DB, Jha P, Mills A, Musgrove P (eds). Disease Control Priorities in Developing Countries (2nd edn). Oxford University Press: New York, 2006.
    • (2006) Disease Control Priorities in Developing Countries
  • 4
    • 34548656241 scopus 로고    scopus 로고
    • The application of multilevel modelling to dental caries data
    • DOI 10.1002/sim.2859
    • Burnside G, Pine CM, Williamson PR. The application of multilevel modelling to dental caries data. Statistics in Medicine 2007; 26:4139-4149. (Pubitemid 47399344)
    • (2007) Statistics in Medicine , vol.26 , Issue.22 , pp. 4139-4149
    • Burnside, G.1    Pine, C.M.2    Williamson, P.R.3
  • 7
    • 33846619781 scopus 로고    scopus 로고
    • Conditional independence of multivariate binary data with an application in caries research
    • DOI 10.1016/j.csda.2006.11.021, PII S0167947306004580
    • García-Zattera MJ, Jara A, Lessafre E, Declerck D. Conditional independence of multivariate binary data with an application in caries research. Computational Statistics and Data Analysis 2007; 51:3223-3234. (Pubitemid 46186565)
    • (2007) Computational Statistics and Data Analysis , vol.51 , Issue.6 , pp. 3223-3234
    • Garcia-Zattera, M.J.1    Jara, A.2    Lesaffre, E.3    Declerck, D.4
  • 8
    • 0001945196 scopus 로고
    • Nearest-neighbour systems and the auto-logistic model for binary data
    • Besag J. Nearest-neighbour systems and the auto-logistic model for binary data. Journal of the Royal Statistical Society, Series B 1972; 34:75-83.
    • (1972) Journal of the Royal Statistical Society, Series B , vol.34 , pp. 75-83
    • Besag, J.1
  • 9
    • 0000913755 scopus 로고
    • Spatial interaction and the statistical analysis of lattice systems
    • Besag J. Spatial interaction and the statistical analysis of lattice systems. Journal of the Royal Statistical Society, Series B 1974; 36:192-236.
    • (1974) Journal of the Royal Statistical Society, Series B , vol.36 , pp. 192-236
    • Besag, J.1
  • 11
    • 6944246046 scopus 로고    scopus 로고
    • A spatial filtering specification for the autologistic model
    • Griffith DA. A spatial filtering specification for the autologistic model. Environment and Planning A 2004; 36:1791-1811.
    • (2004) Environment and Planning A , vol.36 , pp. 1791-1811
    • Griffith, D.A.1
  • 13
    • 0001880968 scopus 로고    scopus 로고
    • Modelling the distribution of plant species using the autologistic regression model
    • Wu H, Huffer FW. Modeling the distribution of plant species using autologistic regression model. Environmental and Ecological Statistics 1997; 4:49-64. (Pubitemid 127509019)
    • (1997) Environmental and Ecological Statistics , vol.4 , Issue.1 , pp. 49-64
    • Wu, H.1    Huffer, F.W.2
  • 16
    • 33947229538 scopus 로고    scopus 로고
    • Spatial analysis of periodontal data using conditionally autoregressive priors having two types of neighbor relations
    • Reich BJ, Hodges JS, Carlin BP. Spatial analysis of periodontal data using conditionally autoregressive priors having two types of neighbor relations. Journal of the American Statistical Association 2007; 102:44-55.
    • (2007) Journal of the American Statistical Association , vol.102 , pp. 44-55
    • Reich, B.J.1    Hodges, J.S.2    Carlin, B.P.3
  • 17
    • 34547825181 scopus 로고    scopus 로고
    • Likelihood analysis of binary data in space and time
    • Chapter 9A, Green P, Hort N, Richardson S (eds). Oxford University Press: New York
    • Besag J, Tantrum J. Likelihood analysis of binary data in space and time. In Highly Structured Stochastic Systems, Chapter 9A, Green P, Hort N, Richardson S (eds). Oxford University Press: New York, 2003; 289-295.
    • (2003) Highly Structured Stochastic Systems , pp. 289-295
    • Besag, J.1    Tantrum, J.2
  • 21
    • 0036781790 scopus 로고    scopus 로고
    • Bayesian model assessment and comparison using cross-validation predictive densities
    • Vehtari A, Lampinen J. Bayesian model assessment and comparison using cross-validation predictive densities. Neural Computation 2002; 14:2439-2468.
    • (2002) Neural Computation , vol.14 , pp. 2439-2468
    • Vehtari, A.1    Lampinen, J.2
  • 22
    • 0002799511 scopus 로고    scopus 로고
    • Model choice: A minimum posterior predictive loss approach
    • Gelfand AE, Ghosh SK. Model choice: a minimum posterior predictive loss approach. Biometrika 1998; 85:1-11.
    • (1998) Biometrika , vol.85 , pp. 1-11
    • Gelfand, A.E.1    Ghosh, S.K.2
  • 25
    • 42149162271 scopus 로고    scopus 로고
    • A Bayesian hierarchical modeling approach for studying the factors affecting the stage at diagnosis of prostate cancer
    • Zhou H, Lawson AB, Hebert JR, Slate EH, Hill EG. A Bayesian hierarchical modeling approach for studying the factors affecting the stage at diagnosis of prostate cancer. Statistics in Medicine 2008; 27:3612-3628.
    • (2008) Statistics in Medicine , vol.27 , pp. 3612-3628
    • Zhou, H.1    Lawson, A.B.2    Hebert, J.R.3    Slate, E.H.4    Hill, E.G.5
  • 26
    • 84993708946 scopus 로고    scopus 로고
    • Semiparametric modelling of spatial binary observations
    • Alfò M, Postiglione P. Semiparametric modelling of spatial binary observations. Statistical Modelling 2002; 2:123-137.
    • (2002) Statistical Modelling , vol.2 , pp. 123-137
    • Alfò, M.1    Postiglione, P.2
  • 28
    • 33749565507 scopus 로고    scopus 로고
    • Modeling species-habitat relationships with spatially autocorrelated observation data
    • Wintle BA, Bardos DC. Modeling species-habitat relationships with spatially autocorrelated observation data. Ecological Applications 2006; 16:1945-1958.
    • (2006) Ecological Applications , vol.16 , pp. 1945-1958
    • Wintle, B.A.1    Bardos, D.C.2
  • 30
    • 0000736067 scopus 로고    scopus 로고
    • Simulating Normalizing Constants: From Importance Sampling to Bridge Sampling to Path Sampling
    • Gelman A, Meng XL. Simulating normalizing constants: from importance sampling to bridge sampling to path sampling. Statistical Science 1998; 13:163-185. (Pubitemid 128466008)
    • (1998) Statistical Science , vol.13 , Issue.2 , pp. 163-185
    • Gelman, A.1    Meng, X.-L.2
  • 31
    • 0031799834 scopus 로고    scopus 로고
    • Markov chain Monte Carlo for autologistic regression models with application to the distribution of plant species
    • DOI 10.2307/3109759
    • Huffer FW, Wu H. Markov Chain Monte Carlo for autologistic regression models with application to the distribution of plant species. Biometrics 1998; 54:509-524. (Pubitemid 28262474)
    • (1998) Biometrics , vol.54 , Issue.2 , pp. 509-524
    • Huffer, F.W.1    Wu, H.2
  • 32
    • 0041360504 scopus 로고    scopus 로고
    • Likelihood and non-parametric Bayesian MCMC inference for spatial point processes based on perfect simulation and path sampling
    • Berthelsen KK, Møller J. Likelihood and nonparametric-Bayesian MCMC inference for spatial point processes based on perfect simulation and path sampling. Scandinavian Journal of Statistics 2003; 30:549-564. (Pubitemid 37052850)
    • (2003) Scandinavian Journal of Statistics , vol.30 , Issue.3 , pp. 549-564
    • Berthelsen, K.K.1    Moller, J.2
  • 33
    • 41949123693 scopus 로고    scopus 로고
    • Markov Chain Monte Carlo for a spatial-temporal autologistic regression model
    • Zheng Y, Zhu J. Markov Chain Monte Carlo for a spatial-temporal autologistic regression model. Journal of Computational and Graphical Statistics 2008; 17:123-137.
    • (2008) Journal of Computational and Graphical Statistics , vol.17 , pp. 123-137
    • Zheng, Y.1    Zhu, J.2
  • 35
    • 0003541633 scopus 로고    scopus 로고
    • Version 1.4.2', Institute of Public Health and Department of Epidemiology and Public Health, Imperial College School of Medicine, Available from
    • Spiegelhalter D, Thomas A, Best N, Lunn D. 'WinBUGS User Manual, Version 1.4.2', MRC Biostatistics Unit, Institute of Public Health and Department of Epidemiology and Public Health, Imperial College School of Medicine, 2005. Available from: http://www.mrc-bsu.cam.ac.uk/bugs.
    • (2005) 'WinBUGS User Manual
    • Spiegelhalter, D.1    Thomas, A.2    Best, N.3    Lunn, D.4
  • 37
    • 4444363400 scopus 로고    scopus 로고
    • Bayesian multivariate logistic regression
    • O'Brien SM, Dunson DB. Bayesian multivariate logistic regression. Biometrics 2004; 60:739-746.
    • (2004) Biometrics , vol.60 , pp. 739-746
    • O'Brien, S.M.1    Dunson, D.B.2
  • 39
    • 0041833619 scopus 로고    scopus 로고
    • A Bayesian approach for joint modeling of cluster size and subunit-specific outcomes
    • DOI 10.1111/1541-0420.00062
    • Dunson DB, Chen Z, Harry J. A Bayesian approach for joint modeling of cluster size and subunit-specific outcomes. Biometrics 2003; 59:521-530. (Pubitemid 37093391)
    • (2003) Biometrics , vol.59 , Issue.3 , pp. 521-530
    • Dunson, D.B.1    Chen, Z.2    Harry, J.3
  • 42
    • 34248137881 scopus 로고    scopus 로고
    • On Bayesian classification with Laplace priors
    • Kaban A. On Bayesian classification with Laplace priors. Pattern Recognition Letters 2007; 28:1271-1282.
    • (2007) Pattern Recognition Letters , vol.28 , pp. 1271-1282
    • Kaban, A.1
  • 43
    • 84867086419 scopus 로고    scopus 로고
    • Prior distributions for variance parameters in hierarchical models
    • Gelman A. Prior distributions for variance parameters in hierarchical models. Bayesian Analysis 2006; 1:515-533.
    • (2006) Bayesian Analysis , vol.1 , pp. 515-533
    • Gelman, A.1
  • 47
    • 3843067509 scopus 로고    scopus 로고
    • Matching conditional and marginal shapes in binary random intercept models using a bridge distribution function
    • DOI 10.1093/biomet/90.4.765
    • Wang Z, Louis TA. Matching conditional and marginal shapes in binary mixed-effects models using a bridge distribution function. Biometrika 2003; 90:765-775. (Pubitemid 39047118)
    • (2003) Biometrika , vol.90 , Issue.4 , pp. 765-775
    • Wang, Z.1    Louis, T.A.2
  • 48
    • 70449712102 scopus 로고    scopus 로고
    • The importance of scale for spatial-confounding bias and precision of spatial regression estimators
    • Paciorek CJ. The importance of scale for spatial-confounding bias and precision of spatial regression estimators. Harvard University Biostatistics Working Paper 98.
    • Harvard University Biostatistics Working Paper 98
    • Paciorek, C.J.1
  • 49
    • 33845478186 scopus 로고    scopus 로고
    • Effects of residual smoothing on the posterior of the fixed effects in disease-mapping models
    • DOI 10.1111/j.1541-0420.2006.00617.x
    • Reich BJ, Hodges JS, Zadnik V. Effects of residual smoothing on the posterior of the fixed effects in diseasemapping models. Biometrics 2006; 62:1197-1206. (Pubitemid 44915542)
    • (2006) Biometrics , vol.62 , Issue.4
    • Reich, B.J.1    Hodges, J.S.2    Zadnik, V.3
  • 50
    • 0037366607 scopus 로고    scopus 로고
    • Marginal analyses of clustered data when cluster size is informative
    • DOI 10.1111/1541-0420.00005
    • Williamson JM, Datta S, Satten GA. Marginal analysis of clustered data when the cluster size is informative. Biometrics 2003; 59:36-42. (Pubitemid 36523105)
    • (2003) Biometrics , vol.59 , Issue.1 , pp. 36-42
    • Williamson, J.M.1    Datta, S.2    Satten, G.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.