메뉴 건너뛰기




Volumn 20, Issue 6, 2009, Pages 647-665

Evaluating the performance of spatio-temporal Bayesian models in disease mapping

Author keywords

Bayesian decision rules; Bias and mse of the posterior mean relative risk; Hierarchical bayesian models; Model sensitivity and model specificity

Indexed keywords

BAYESIAN ANALYSIS; DECISION ANALYSIS; DISEASE INCIDENCE; HEALTH RISK; HIERARCHICAL SYSTEM; HUMAN BEHAVIOR; MORTALITY RISK; NUMERICAL MODEL; PERFORMANCE ASSESSMENT; SIMULATION; SPATIOTEMPORAL ANALYSIS;

EID: 70349907767     PISSN: 11804009     EISSN: 1099095X     Source Type: Journal    
DOI: 10.1002/env.969     Document Type: Article
Times cited : (37)

References (35)
  • 4
    • 0026710523 scopus 로고
    • Empirical. Bayes versus fully Bayesian. analysis of geographical, variation in disease risk
    • Bernardinelli L, Montomoli C. 1992. Empirical. Bayes versus fully Bayesian. analysis of geographical, variation in disease risk. Statistics in Medicine 11: 983-1007.
    • (1992) Statistics in Medicine , vol.11 , pp. 983-1007
    • Bernardinelli, L.1    Montomoli, C.2
  • 9
    • 0032273615 scopus 로고    scopus 로고
    • General methods for monitoring convergence of iterative simulations
    • Brooks SP, Gelman A. 1998. Alternative methods for monitoring convergence of iterative simulations. Journal of Computational and Graphical Statistics 7: 434-455. (Pubitemid 128635035)
    • (1998) Journal of Computational and Graphical Statistics , vol.7 , Issue.4 , pp. 434-455
    • Brooks, S.P.1    Gelman, A.2
  • 10
    • 33746127938 scopus 로고    scopus 로고
    • Space-cohort Bayesian models in ecological studies
    • DOI 10.1191/1471082X06st111oa
    • Catelan D, Biggeri A, Dreassi E, Lagazio C. 2006. Space-cohort Bayesian models in ecological studies. Statistical Modelling 6: 159-173. (Pubitemid 44082817)
    • (2006) Statistical Modelling , vol.6 , Issue.2 , pp. 159-173
    • Catelan, D.1    Biggeri, A.2    Dreassi, E.3    Lagazio, C.4
  • 11
    • 0023522959 scopus 로고
    • Empirical Bayes estimates of age-standardized relative risks for use in disease mapping
    • Clayton D, Kaldor J. 1987. Empirical Bayes estimates of age-standardized relative risks for use in disease mapping. Biometrics 43: 671-681. (Pubitemid 18045149)
    • (1987) Biometrics , vol.43 , Issue.3 , pp. 671-681
    • Clayton, D.1    Kaldor, J.2
  • 13
    • 1142292471 scopus 로고    scopus 로고
    • Penalized quasi-likelihood with spatially correlated data
    • DOI 10.1016/S0167-9473(02)00324-9, PII S0167947302003249
    • Dean CB, Ugarte MD, Militino AF. 2004. Penalized quasi-likelihood with spatially correlated data. Computational Statistics & Data Analysis 45: 235-248. (Pubitemid 38204901)
    • (2004) Computational Statistics and Data Analysis , vol.45 , Issue.2 , pp. 235-248
    • Dean, C.B.1    Ugarte, M.D.2    Militino, A.F.3
  • 14
    • 12444270148 scopus 로고    scopus 로고
    • A hierarchical Bayesian approach to modeling embryo implantation following in vitro fertilization
    • DOI 10.1093/biostatistics/3.3.361
    • Dukic V, Hogan J. 2002. A hierarchical. Bayesian approach to modelling embryo implantation following in vitro fertilization. Biostatistics 3: 361-377. (Pubitemid 35015929)
    • (2002) Biostatistics Oxford , vol.3 , Issue.3 , pp. 361-378
    • Dukic, V.1    Hogan, J.W.2
  • 15
    • 0034651977 scopus 로고    scopus 로고
    • Permutation tests for joinpoint regression with applications to cancer rates
    • Kim H-J, Fay MP, Feuer EJ, Midthune DN. 2000. Permutation tests for joinpoint regression with applications to cancer rates. Statistics in Medicine 19: 335-351.
    • (2000) Statistics in Medicine , vol.19 , pp. 335-351
    • Kim, H.-J.1    Fay, M.P.2    Feuer, E.J.3    Midthune, D.N.4
  • 16
    • 0032581956 scopus 로고    scopus 로고
    • Modelling risk from a disease in time and space
    • DOI 10.1002/(SICI)1097-0258(19980930)17:18<2045::AID-SIM943>3.0. CO;2-P
    • Knorr-Held L, Besag J. 1998. Modelling risks from, a disease in time and space. Statistics in Medicine 17: 2045-2060. (Pubitemid 28442014)
    • (1998) Statistics in Medicine , vol.17 , Issue.18 , pp. 2045-2060
    • Knorr-Held, L.1    Besag, J.2
  • 17
    • 0034665770 scopus 로고    scopus 로고
    • Bayesian modelling of inseparable space-time variation in disease risk
    • Knorr-Held L. 2000. Bayesian modelling of inseparable space-time variation in disease risk. Statistics in Medicine 19: 2555-2567. (Pubitemid 30694037)
    • (2000) Statistics in Medicine , vol.19 , Issue.17-18 , pp. 2555-2567
    • Knorr-Held, L.1
  • 18
    • 0042532207 scopus 로고    scopus 로고
    • Age-period-cohort models and disease mapping
    • Lagazio C, Biggeri A, Dreassi E. 2003. Age-period-cohort models and disease mapping. Environmetrics 14: 475-490.
    • (2003) Environmetrics , vol.14 , pp. 475-490
    • Lagazio, C.1    Biggeri, A.2    Dreassi, E.3
  • 19
    • 84993815519 scopus 로고    scopus 로고
    • A hierarchical Bayesian model for the analysis of spatio-temporal variation in disease risk
    • Lagazio C, Dreassi. E, Biggeri A. 2001. A hierarchical Bayesian model for the analysis of spatio-temporal variation in disease risk. Statistical Modelling 1: 17-29.
    • (2001) Statistical Modelling , vol.1 , pp. 17-29
    • Lagazio, C.1    Dreassi, E.2    Biggeri, A.3
  • 22
    • 35148832435 scopus 로고    scopus 로고
    • Regression B-spline smoothing in Bayesian disease mapping: With an application to patient safety surveillance
    • DOI 10.1002/sim.2868
    • MacNab YC, Gustafson P. 2007. Regression B-spline smoothing in Bayesian disease mapping: with an application to patient safety surveillance. Statistics in Medicine 26: 4455-4474. (Pubitemid 47534691)
    • (2007) Statistics in Medicine , vol.26 , Issue.24 , pp. 4455-4474
    • MacNab, Y.C.1    Gustafson, P.2
  • 23
    • 18544379364 scopus 로고    scopus 로고
    • Spatio-temporal models for mapping the incidence of malaria in Pará
    • DOI 10.1002/env.704
    • Nobre A, Schmidt AM, Lopea HF. 2005. Spatio-temporal models for mapping the incidence of malaria in Pará. Environmetrics 16: 291-304. (Pubitemid 40654008)
    • (2005) Environmetrics , vol.16 , Issue.3 , pp. 291-304
    • Nobre, A.A.1    Schmidt, A.M.2    Lopes, H.F.3
  • 25
    • 3142718445 scopus 로고    scopus 로고
    • Interpreting posterior relative risk estimates in disease-mapping studies
    • Richardson S, Thomson A, Best N, Elliot P. 2004. Interpreting posterior relative risk estimates in disease-mapping studies. Environmental Health Perspectives 112: 1016-1025. (Pubitemid 38931110)
    • (2004) Environmental Health Perspectives , vol.112 , Issue.9 , pp. 1016-1025
    • Richardson, S.1    Thomson, A.2    Best, N.3    Elliott, P.4
  • 26
    • 33746458924 scopus 로고    scopus 로고
    • Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire (UK)
    • DOI 10.1191/0962280206sm458oa
    • Richardson S, Abellán JJ, Best N. 2006. Bayesian spatio-temporal analysis of joint patterns of male and female lung cancer risks in Yorkshire. Statistical Methods in Medical Research 15: 385-407. (Pubitemid 44122836)
    • (2006) Statistical Methods in Medical Research , vol.15 , Issue.4 , pp. 385-407
    • Richardson, S.1    Abellan, J.J.2    Best, N.3
  • 27
    • 0034656999 scopus 로고    scopus 로고
    • The annual report to the nation on the status of cancer, 1973-1997, with special section on colorectal, cancer
    • Ries LA, Wingo PA, Miller DS, et al. 2000. The annual report to the nation on the status of cancer, 1973-1997, with special section on colorectal, cancer. Cancer 88: 2398-2424.
    • (2000) Cancer , vol.88 , pp. 2398-2424
    • Ries, L.A.1    Wingo, P.A.2    Miller, D.S.3
  • 29
    • 0003818292 scopus 로고    scopus 로고
    • MRC Biostatiscs unit, Institute of Public Health, Cambridge, Rolf Nevanlinna Institute, University of Helsinki, and Department of Epidemiology and Public Health, Imperial College London
    • Spiegelhalter DJ, Thomas A, Best NG, Lunn DJ, 2003. WinBUGS version 1.4 user's manual. MRC Biostatiscs unit, Institute of Public Health, Cambridge, Rolf Nevanlinna Institute, University of Helsinki, and Department of Epidemiology and Public Health, Imperial College London, http://www.mrc-bsu.cam.ac.uk/bugs
    • (2003) WinBUGS Version 1.4 User's Manual
    • Spiegelhalter, D.J.1    Thomas, A.2    Best, N.G.3    Lunn, D.J.4
  • 31
    • 42549165613 scopus 로고    scopus 로고
    • Prediction error estimators in Empirical Bayes disease mapping
    • DOI 10.1002/env.874
    • Ugarte MD, Militino AF, Goicoa T. 2008. Prediction error estimators in empirical Bayes disease mapping. Environmetrics 19: 287-300. (Pubitemid 351580170)
    • (2008) Environmetrics , vol.19 , Issue.3 , pp. 287-300
    • Ugarte, M.D.1    Militino, A.F.2    Goicoa, T.3
  • 32
    • 62849096842 scopus 로고    scopus 로고
    • Empirical Bayes and fully Bayes procedures to detect high-risks areas in disease mapping
    • doi: 10.101.6/j.csda.2008.06.002
    • Ugarte MD, Goicoa T, Militino AF. 2008. Empirical Bayes and fully Bayes procedures to detect high-risks areas in disease mapping. Computational Statistics and Data Analysis, doi: 10.101.6/j.csda.2008.06.002
    • (2008) Computational Statistics and Data Analysis
    • Ugarte, M.D.1    Goicoa, T.2    Militino, A.F.3
  • 33
    • 0001590265 scopus 로고    scopus 로고
    • Bayesian approaches to disease mapping
    • Elliot P, Wakefield JC, Best NG, Bridges DJ (eds). Oxford University Press
    • Wakefield JC, Best NG, Waller L. 2000. Bayesian approaches to disease mapping. In Spatial Epidemiology, Elliot P, Wakefield JC, Best NG, Bridges DJ (eds). Oxford University Press; 104-127.
    • (2000) Spatial Epidemiology , pp. 104-127
    • Wakefield, J.C.1    Best, N.G.2    Waller, L.3
  • 34
    • 34147190307 scopus 로고    scopus 로고
    • Disease mapping and spatial regression with count data
    • DOI 10.1093/biostatistics/kxl008
    • Wakefield J. 2007. Disease mapping and spatial regression with count data. Biostatistics 8: 158-183. (Pubitemid 46569589)
    • (2007) Biostatistics , vol.8 , Issue.2 , pp. 158-183
    • Wakefield, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.