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Volumn 19, Issue 15, 2000, Pages 2015-2035

Spatio-temporal interaction with disease mapping

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BAYES THEOREM; CANCER MORTALITY; EPIDEMIOLOGICAL DATA; GEOGRAPHY; INCIDENCE; SYSTEM ANALYSIS;

EID: 0034663298     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/1097-0258(20000815)19:15<2015::AID-SIM422>3.0.CO;2-E     Document Type: Article
Times cited : (100)

References (33)
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    • Tanner, M.A.1
  • 4
    • 0019727870 scopus 로고
    • A variance components approach to categorical data models with heterogeneous cell populations: Analysis of spatial gradients in lung cancer mortality rates in North Carolina counties
    • (1981) Biometrics , vol.37 , pp. 259-269
    • Manton, K.1    Woodbury, G.2    Stallard, M.A.3
  • 9
    • 0023522959 scopus 로고
    • Empirical Bayes estimates of age-standardized relative risks for use in disease mapping
    • (1987) Biometrics , vol.43 , pp. 671-681
    • Clayton, D.1    Kaldor, J.2
  • 12
    • 0001823605 scopus 로고
    • Bayesian methods for disease mapping disease risks
    • Geographical and Environmental Epidemiology, Elliot P, Cuzick J, English D, Sterm R (eds). Oxford University Press: New York
    • (1992)
    • Clayton, D.1    Bernardinelli, L.2
  • 15
    • 0008277646 scopus 로고    scopus 로고
    • Bayes and Empirical Bayes Methods for Data Analysis. Chapman and Hall: London
    • (1996)
    • Carlin, B.P.1    Louis, T.A.2
  • 27
    • 0003142379 scopus 로고    scopus 로고
    • Structuring correlation within hierarchical spatio-temporal models for disease rates
    • Modeling Longitudinal and Spatially Correlated Data, Gregore TG, Brillinger DR, Diggle PR (eds). Springer Verlag: New York
    • (1997) , pp. 309-319
    • Waller, L.A.1    Carlin, B.P.2    Xia, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.