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Volumn 15, Issue 3, 2005, Pages 781-794

Bayesian frailty models based on box-cox transformed hazards

Author keywords

Additive hazards; Bayesian inference; Box Cox transformation; Constrained parameter; Frailty model; Gibbs sampling; Proportional hazards

Indexed keywords


EID: 27144446701     PISSN: 10170405     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (7)

References (28)
  • 1
    • 0020975101 scopus 로고
    • An extension of the proportional-hazards model for grouped data
    • Aranda-Ordaz, F. J. (1983). An extension of the proportional-hazards model for grouped data. Biometrics 39, 109-117.
    • (1983) Biometrics , vol.39 , pp. 109-117
    • Aranda-Ordaz, F.J.1
  • 2
    • 0022236864 scopus 로고
    • General relative risk models in stratified epidemiologic studies
    • Barlow, W. E. (1985). General relative risk models in stratified epidemiologic studies. Appl. Statist. 34, 246-257.
    • (1985) Appl. Statist. , vol.34 , pp. 246-257
    • Barlow, W.E.1
  • 3
    • 0000133998 scopus 로고
    • An analysis of transformations
    • Box, G. E. P. and Cox, D. R. (1964). An analysis of transformations (with discussion). J. Roy. Statist. Soc. B 26, 211-252.
    • (1964) J. Roy. Statist. Soc. B , vol.26 , pp. 211-252
    • Box, G.E.P.1    Cox, D.R.2
  • 4
    • 0002164964 scopus 로고
    • Cohort analysis in epidemiology
    • (Edited by A. C. Atkinson and S. E. Fienberg), Springer, New York
    • Breslow, N. E. (1985). Cohort analysis in epidemiology. In A Celebration of Statistics (Edited by A. C. Atkinson and S. E. Fienberg), 109-143. Springer, New York.
    • (1985) A Celebration of Statistics , pp. 109-143
    • Breslow, N.E.1
  • 5
    • 0021885671 scopus 로고
    • General relative risk functions for case-control studies
    • Breslow. N. E. and Storer, B. E. (1985). General relative risk functions for case-control studies. Amer. J. Epidemiology 122, 149-162.
    • (1985) Amer. J. Epidemiology , vol.122 , pp. 149-162
    • Breslow, N.E.1    Storer, B.E.2
  • 7
    • 0009416995 scopus 로고    scopus 로고
    • Monte Carlo methods for Bayesian analysis of constrained parameter problems
    • Chen. M. and Shao, Q. (1998). Monte Carlo methods for Bayesian analysis of constrained parameter problems. Biometrika 85, 73-87.
    • (1998) Biometrika , vol.85 , pp. 73-87
    • Chen, M.1    Shao, Q.2
  • 9
    • 0025813195 scopus 로고
    • A Monte Carlo method for Bayesian inference in frailty models
    • Clayton. D. G. (1991). A Monte Carlo method for Bayesian inference in frailty models. Biometrics 47, 476-485.
    • (1991) Biometrics , vol.47 , pp. 476-485
    • Clayton, D.G.1
  • 10
    • 0000336139 scopus 로고
    • Regression models and life tables
    • Cox, D. R. (1972). Regression models and life tables (with discussion). J. Roy. Statist. Soc. Ser. B 34, 187-220.
    • (1972) J. Roy. Statist. Soc. Ser. B , vol.34 , pp. 187-220
    • Cox, D.R.1
  • 11
    • 0031440106 scopus 로고    scopus 로고
    • Bayesian approach for nonlinear random effects models
    • Dey, D. K., Chen, M. and Chang, H. (1997). Bayesian approach for nonlinear random effects models. Biometrics 53, 1239-1252.
    • (1997) Biometrics , vol.53 , pp. 1239-1252
    • Dey, D.K.1    Chen, M.2    Chang, H.3
  • 12
    • 0000204649 scopus 로고
    • Diabetic retinopathy study
    • Diabetic Retinopathy Study Research Group (1985). Diabetic Retinopathy Study. Invest. Ophthalmol. Visual Science 21 (part 2), 149-226.
    • (1985) Invest. Ophthalmol. Visual Science , vol.21 , Issue.2 PART , pp. 149-226
  • 15
    • 0000079228 scopus 로고
    • Model determination using predictive distributions with implementation via sampling based methods (with discussion)
    • (Edited by J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith), Oxford University Press, Oxford
    • Gelfand, A. E., Dey, D. K. and Chang, H. (1992). Model determination using predictive distributions with implementation via sampling based methods (with discussion). In Bayesian Statistics 4 (Edited by J. M. Bernardo, J. O. Berger, A. P. Dawid and A. F. M. Smith), 147-167. Oxford University Press, Oxford.
    • (1992) Bayesian Statistics , vol.4 , pp. 147-167
    • Gelfand, A.E.1    Dey, D.K.2    Chang, H.3
  • 16
    • 84950453504 scopus 로고
    • Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling
    • Gelfand, A. E., Smith, A. F. M. and Lee. T. (1992). Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling. J. Amer. Statist. Assoc. 87, 523-532.
    • (1992) J. Amer. Statist. Assoc. , vol.87 , pp. 523-532
    • Gelfand, A.E.1    Smith, A.F.M.2    Lee, T.3
  • 17
    • 84972492387 scopus 로고
    • Inference from iterative simulation using multiple sequences
    • Gelman, A. and Rubin, D. B. (1992). Inference from iterative simulation using multiple sequences. Statist. Science 7, 457-511.
    • (1992) Statist. Science , vol.7 , pp. 457-511
    • Gelman, A.1    Rubin, D.B.2
  • 18
    • 0038312668 scopus 로고
    • Adaptive rejection Metropolis sampling within Gibbs sampling
    • Gilks, W. R., Best, N. G. and Tan, K. K. C. (1995). Adaptive rejection Metropolis sampling within Gibbs sampling. Appl. Statist. 44, 455-472.
    • (1995) Appl. Statist. , vol.44 , pp. 455-472
    • Gilks, W.R.1    Best, N.G.2    Tan, K.K.C.3
  • 19
    • 0000324169 scopus 로고
    • Adaptive rejection sampling for Gibbs sampling
    • Gilks, W. R. and Wild, P. (1992). Adaptive rejection sampling for Gibbs sampling. Appl. Statist. 41, 337-348.
    • (1992) Appl. Statist. , vol.41 , pp. 337-348
    • Gilks, W.R.1    Wild, P.2
  • 20
    • 0030980644 scopus 로고    scopus 로고
    • Large hierarchical Bayesian analysis of multivariate survival data
    • Gustafson, P. (1997). Large hierarchical Bayesian analysis of multivariate survival data. Biometrics 53, 230-242.
    • (1997) Biometrics , vol.53 , pp. 230-242
    • Gustafson, P.1
  • 24
    • 0011880482 scopus 로고
    • Semiparametric analysis of the additive risk model
    • Lin, D. Y. and Ying, Z. (1994). Semiparametric analysis of the additive risk model. Biometrika 81, 61-71.
    • (1994) Biometrika , vol.81 , pp. 61-71
    • Lin, D.Y.1    Ying, Z.2
  • 25
    • 21844522789 scopus 로고
    • Consistency in a proportional hazards model incorporating a random effect
    • Murphy, S. A. (1994). Consistency in a proportional hazards model incorporating a random effect. Ann. Statist. 22, 712-731.
    • (1994) Ann. Statist. , vol.22 , pp. 712-731
    • Murphy, S.A.1
  • 26
    • 21844510373 scopus 로고
    • Asymptotic theory for the frailty model
    • Murphy, S. A. (1995). Asymptotic theory for the frailty model. Ann. Statist. 23, 182-198.
    • (1995) Ann. Statist. , vol.23 , pp. 182-198
    • Murphy, S.A.1
  • 27
    • 0032395685 scopus 로고    scopus 로고
    • Asymptotic theory for the correlated Gamma-frailty model
    • Parner, E. (1998). Asymptotic theory for the correlated Gamma-frailty model. Ann. Statist. 26, 183-214.
    • (1998) Ann. Statist. , vol.26 , pp. 183-214
    • Parner, E.1
  • 28
    • 84935430727 scopus 로고
    • Semiparametric Bayesian analysis of multiple event time data
    • Sinha, D. (1993). Semiparametric Bayesian analysis of multiple event time data. J. Am. Statist. Assoc. 88, 979-983.
    • (1993) J. Am. Statist. Assoc. , vol.88 , pp. 979-983
    • Sinha, D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.