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Volumn 22, Issue 1, 2013, Pages 99-105

On the difficulty to delimit disease risk hot spots

Author keywords

Classification; Disease mapping; Epidemiology; Generalized Potts model; Hidden Markov random field; Spatial clustering

Indexed keywords

BOVINE SPONGIFORM ENCEPHALOPATHY; CLASSIFICATION; CLUSTER ANALYSIS; DISEASE; EPIDEMIOLOGY; MAPPING; MARKOV CHAIN; NUMERICAL MODEL; RISK ASSESSMENT; SPATIAL ANALYSIS;

EID: 84883049310     PISSN: 15698432     EISSN: 1872826X     Source Type: Journal    
DOI: 10.1016/j.jag.2012.04.005     Document Type: Article
Times cited : (9)

References (31)
  • 1
    • 21844438478 scopus 로고    scopus 로고
    • Poultry, pig and the risk of BSE following the feed ban in France - a spatial analysis
    • Abrial, D., Calavas, D., Jarrige, N., Ducrot, C., 2005. Poultry, pig and the risk of BSE following the feed ban in France - a spatial analysis. Veterinary Research 36, 615-628.
    • (2005) Veterinary Research , vol.36 , pp. 615-628
    • Abrial, D.1    Calavas, D.2    Jarrige, N.3    Ducrot, C.4
  • 2
    • 60849108333 scopus 로고    scopus 로고
    • Finite mixture models for mapping spatially dependent disease counts
    • Alfó, M., Nieddu, L., Vicari, D., 2009. Finite mixture models for mapping spatially dependent disease counts. Biometrical Journal 52, 84-97.
    • (2009) Biometrical Journal , vol.52 , pp. 84-97
    • Alfó, M.1    Nieddu, L.2    Vicari, D.3
  • 5
    • 84883050816 scopus 로고    scopus 로고
    • Spatial Risk Mapping for Rare Disease with Hidden Markov Fields and Variational EM.
    • Research Report inria-00577793. INRIA
    • Azizi, L., Forbes, F., Doyle, S., Charras-Garrido, M., Abrial, D., 2011. Spatial Risk Mapping for Rare Disease with Hidden Markov Fields and Variational EM. Research Report inria-00577793. INRIA.
    • (2011)
    • Azizi, L.1    Forbes, F.2    Doyle, S.3    Charras-Garrido, M.4    Abrial, D.5
  • 8
    • 0037209490 scopus 로고    scopus 로고
    • EM procedures using mean field-like approximations for Markov model-based image segmentation
    • Celeux, G., Forbes, F., Peyrard, N., 2003. EM procedures using mean field-like approximations for Markov model-based image segmentation. Pattern Recognition 36, 131-144.
    • (2003) Pattern Recognition , vol.36 , pp. 131-144
    • Celeux, G.1    Forbes, F.2    Peyrard, N.3
  • 9
    • 84858032733 scopus 로고    scopus 로고
    • Classification method for disease risk mapping based on discrete hidden Markov random fields
    • Charras-Garrido, M., Abrial, D., de Goër, J., Dachian, S., Peyrard, N., 2012. Classification method for disease risk mapping based on discrete hidden Markov random fields. Biostatistics 13, 241-255.
    • (2012) Biostatistics , vol.13 , pp. 241-255
    • Charras-Garrido, M.1    Abrial, D.2    de Goër, J.3    Dachian, S.4    Peyrard, N.5
  • 15
    • 0028790233 scopus 로고
    • Non-parametric estimation of spatial variation in relative risk
    • Kelsall, J., Diggle, P., 1995. Non-parametric estimation of spatial variation in relative risk. Statistics in Medicine 14, 2335-2342.
    • (1995) Statistics in Medicine , vol.14 , pp. 2335-2342
    • Kelsall, J.1    Diggle, P.2
  • 16
    • 1642602502 scopus 로고    scopus 로고
    • Bayesian detection of clusters and discontinuities in disease maps
    • Knorr-Held, L., Rasser, G., 2000. Bayesian detection of clusters and discontinuities in disease maps. Biometrics 56, 13-21.
    • (2000) Biometrics , vol.56 , pp. 13-21
    • Knorr-Held, L.1    Rasser, G.2
  • 17
    • 0036715144 scopus 로고    scopus 로고
    • Disease mapping of stage-specific cancer incidence data
    • Knorr-Held, L., Rasser, G., Becker, N., 2002. Disease mapping of stage-specific cancer incidence data. Biometrics 58, 492-501.
    • (2002) Biometrics , vol.58 , pp. 492-501
    • Knorr-Held, L.1    Rasser, G.2    Becker, N.3
  • 18
    • 0141684911 scopus 로고    scopus 로고
    • A hierarchical model for space-time surveillance data on meningococcal disease incidence
    • Knorr-Held, L., Richardson, S., 2003. A hierarchical model for space-time surveillance data on meningococcal disease incidence. Journal of the Royal Statistical Society B 52, 169-183.
    • (2003) Journal of the Royal Statistical Society B , vol.52 , pp. 169-183
    • Knorr-Held, L.1    Richardson, S.2
  • 21
    • 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
  • 23
    • 0002206208 scopus 로고    scopus 로고
    • Estimation of disease rates in small areas: a new mixed model for spatial dependence
    • In: Halloran, M., Berry, D. (Eds.), Statistical Models in Epidemiology, the Environment and Clinical Trials. Springer-Verlag,
    • Leroux, B., Lei, X., Breslow, N., 2000. Estimation of disease rates in small areas: a new mixed model for spatial dependence. In: Halloran, M., Berry, D. (Eds.), Statistical Models in Epidemiology, the Environment and Clinical Trials. Springer-Verlag, pp. 135-178.
    • (2000) , pp. 135-178
    • Leroux, B.1    Lei, X.2    Breslow, N.3
  • 24
    • 79952630096 scopus 로고    scopus 로고
    • On Gaussian Markov random fields and Bayesian disease mapping
    • MacNab, Y., 2011. On Gaussian Markov random fields and Bayesian disease mapping. Statistical Methods in Medical Research 20, 49-68.
    • (2011) Statistical Methods in Medical Research , vol.20 , pp. 49-68
    • MacNab, Y.1
  • 25
    • 0002913859 scopus 로고    scopus 로고
    • Bayesian and empirical Bayes approaches to disease mapping.
    • In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.-F. (Eds.), Disease Mapping and Risk Assessment for Public Health. Wiley
    • Mollié, A., 1999. Bayesian and empirical Bayes approaches to disease mapping. In: Lawson, A., Biggeri, A., Böhning, D., Lesaffre, E., Viel, J.-F. (Eds.), Disease Mapping and Risk Assessment for Public Health. Wiley, pp. 15-29.
    • (1999) , pp. 15-29
    • Mollié, A.1
  • 29
    • 0036857218 scopus 로고    scopus 로고
    • Approximate Bayes factors for image segmentation: the pseudolikelihood information criterion (PLIC)
    • Stanford, D., Raftery, A., 2002. Approximate Bayes factors for image segmentation: the pseudolikelihood information criterion (PLIC). IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 1517-1520.
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , pp. 1517-1520
    • Stanford, D.1    Raftery, A.2
  • 30
    • 62849096842 scopus 로고    scopus 로고
    • Empirical Bayes and fully Bayes procedures to detect high-risk areas in disease mapping
    • Ugarte, M., Goicoa, T., Militino, A., 2009. Empirical Bayes and fully Bayes procedures to detect high-risk areas in disease mapping. Computational Statistics and Data Analysis 53, 2938-2949.
    • (2009) Computational Statistics and Data Analysis , vol.53 , pp. 2938-2949
    • Ugarte, M.1    Goicoa, T.2    Militino, A.3
  • 31
    • 84950432017 scopus 로고
    • A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms
    • Wei, G., Tanner, M., 1990. A Monte Carlo implementation of the EM algorithm and the poor man's data augmentation algorithms. Journal of the American Statistical Association 85, 699-704.
    • (1990) Journal of the American Statistical Association , vol.85 , pp. 699-704
    • Wei, G.1    Tanner, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.