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Volumn 19, Issue 17-18, 2000, Pages 2377-2397

Posterior predictive model checks for disease mapping models

Author keywords

[No Author keywords available]

Indexed keywords

BAYES THEOREM; CONFERENCE PAPER; HUMAN; LIP CANCER; MODEL; MORBIDITY; MORTALITY; PREDICTION; PROBABILITY; RISK; STATISTICS; SYSTEM ANALYSIS; VALIDATION PROCESS; VARIANCE;

EID: 0034665769     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/1097-0258(20000915/30)19:17/18<2377::aid-sim576>3.0.co;2-1     Document Type: Conference Paper
Times cited : (117)

References (34)
  • 2
    • 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
  • 7
    • 0001823605 scopus 로고
    • Bayesian methods for mapping disease risk
    • Geographical and Environmental Epidemiology: Methods for Small-Area Studies, Elliot P, Cuzick J, English D, Stern R (eds). Oxford University Press: London
    • (1992) , pp. 205-220
    • Clayton, D.1    Bernardinelli, L.2
  • 9
    • 0001861989 scopus 로고
    • Bayesian and constrained Bayesian inference for extremes in epidemiology
    • 1995 Proceedings of the Section on Epidemiology. American Statistical Association: Alexandria
    • (1995) , pp. 11-20
    • Stern, H.S.1    Cressie, N.2
  • 10
    • 0002370120 scopus 로고    scopus 로고
    • Inference for extremes in disease mapping
    • Disease Mapping and Risk Assessment for Public Health, Lawson A, Biggeri A, Bohning D, Lesaffre E, Viel J-F, Bertollini R (eds). Wiley: Chichester
    • (1999) , pp. 63-84
    • Stern, H.S.1    Cressie, N.2
  • 13
    • 0000439370 scopus 로고
    • Bayesianly justifiable and relevant frequency calculations for the applied statistician
    • (1984) Annals of Statistics , vol.12 , pp. 1151-1172
    • Rubin, D.B.1
  • 16
    • 0007945479 scopus 로고
    • Statistics for Spatial Data, revised edition. Wiley: New York
    • (1993)
    • Cressie, N.A.C.1
  • 18
    • 0007945735 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
    • 0001501256 scopus 로고    scopus 로고
    • Model checking and model improvement
    • Practical Markov Chain Monte Carlo, Gilks WR, Richardson S, Spiegelhalter DJ (eds). Chapman and Hall: New York
    • (1996) , pp. 189-201
    • Gelman, A.1    Meng, X.-L.2
  • 28
    • 0007897388 scopus 로고    scopus 로고
    • Comment: Utility, sensitivity analysis, and cross-validation in Bayesian model-checking, discussion of A. Gelman, X.-L. Meng, H. Stern, Posterior predictive assessment of model fitness via realized discrepancies
    • (1996) Statistica Sinica , vol.6 , pp. 760-767
    • Draper, D.1
  • 29
    • 0007896555 scopus 로고    scopus 로고
    • Comment: On posterior predictive p-values, discussion of A. Gelman, X.-L. Meng, H. Stern, Posterior predictive assessment of model fitness via realized discrepancies
    • (1996) Statistica Sinica , vol.6 , pp. 787-792
    • Rubin, D.B.1
  • 30
    • 0007945480 scopus 로고    scopus 로고
    • P-values for composite null models. Technical Report, Institute of Statistics and Decision Sciences, Duke University
    • (1999)
    • Bayarri, M.J.1    Berger, J.O.2
  • 31
    • 0007891437 scopus 로고    scopus 로고
    • The asymptotic distribution of P-values in composite null models. Technical Report, Department of Epidemiology, Harvard School of Public Health
    • (1999)
    • Robins, J.M.1    Van der Vaart, A.2    Ventura, V.3
  • 32
    • 0007952472 scopus 로고
    • Predictive Inference: An Introduction. Chapman and Hall: London
    • (1993)
    • Geisser, S.1
  • 33
    • 84950788916 scopus 로고
    • A noniterative sampling/importance resampling alternative to the data augmentation algorithm for creating a few imputations when the fractions of missing information are modest: The SIR algorithm, discussion of M.A. Tanner and W.H. Wong, The calculation of posterior distributions by data augmentation
    • (1987) Journal of the American Statistical Association , vol.82 , pp. 543-546
    • Rubin, D.B.1
  • 34
    • 0000458272 scopus 로고
    • Using the SIR algorithm to simulate posterior distributions
    • Bayesian Statistics 3, Bernardo JM, DeGroot MH, Lindley DV, Smith AFM (eds). Oxford: New York
    • (1988) , pp. 395-402
    • Rubin, D.B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.