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Volumn 79, Issue 6, 2009, Pages 753-759

On the unification of long-term survival models

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EID: 60449109910     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2008.10.029     Document Type: Article
Times cited : (127)

References (19)
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    • Hoggart, C.J., Griffin, J.E., 2001. A Bayesian partition model for customer attrition, In: E.I. George (Ed.), Bayesian Methods with Applications to Science, Policy, and Official Statistics (Selected Papers from ISBA 2000) - Proceedings of the Sixth World Meeting of the International Society for Bayesian Analysis. International Society for Bayesian Analysis, Creta, Greece, pp. 61-70
    • Hoggart, C.J., Griffin, J.E., 2001. A Bayesian partition model for customer attrition, In: E.I. George (Ed.), Bayesian Methods with Applications to Science, Policy, and Official Statistics (Selected Papers from ISBA 2000) - Proceedings of the Sixth World Meeting of the International Society for Bayesian Analysis. International Society for Bayesian Analysis, Creta, Greece, pp. 61-70
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    • Bayesian dynamic models for survival data with a cure fraction
    • Kim S., Chen M.H., Dey D.K., and Gamerman D. Bayesian dynamic models for survival data with a cure fraction. Lifetime Data Analysis 13 (2007) 17-35
    • (2007) Lifetime Data Analysis , vol.13 , pp. 17-35
    • Kim, S.1    Chen, M.H.2    Dey, D.K.3    Gamerman, D.4
  • 14
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    • Maximum likelihood estimation for the negative binomial dispersion parameter
    • Piegorsch W.W. Maximum likelihood estimation for the negative binomial dispersion parameter. Biometrics 46 (1990) 863-867
    • (1990) Biometrics , vol.46 , pp. 863-867
    • Piegorsch, W.W.1
  • 15
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    • Parametric versus nonparametric methods for estimating cure rates based on censored survival-data
    • Yakovlev A.Y. Parametric versus nonparametric methods for estimating cure rates based on censored survival-data. Statistics in Medicine 13 (1994) 983-985
    • (1994) Statistics in Medicine , vol.13 , pp. 983-985
    • Yakovlev, A.Y.1
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    • Long-term survivor mixture with random effects: Application to multi-centre clinical trial of carcinoma
    • Yau K., and Ng A. Long-term survivor mixture with random effects: Application to multi-centre clinical trial of carcinoma. Statistics in Medicine 20 (2001) 1591-1607
    • (2001) Statistics in Medicine , vol.20 , pp. 1591-1607
    • Yau, K.1    Ng, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.