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Volumn , Issue , 2008, Pages 197-205

Combining Risks from Several Tumors Using Markov Chain Monte Carlo

Author keywords

Bayesian methods for probability distribution calculation in composite cancer risk estimate; Combining risks for multistage model; Combining risks from tumors using MCMC

Indexed keywords

BAYESIAN NETWORKS; MARKOV PROCESSES; PROBABILITY DISTRIBUTIONS; TUMORS;

EID: 84949035441     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1002/9780470481400.ch5     Document Type: Chapter
Times cited : (3)

References (14)
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  • 3
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    • Casella, G.1    George, E.2
  • 4
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    • Chib, S.1    Greenberg, E.2
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    • Crump, K.S.1
  • 6
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    • Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling
    • Gelfand AE, Smith AFM, Lee T-M. 1992. Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling. J Am Statist Assoc 418: 523-32.
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    • Gelfand, A.E.1    Smith, A.F.M.2    Lee, T.-M.3
  • 9
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    • Towards quantitative uncertainty assessment for cancer risks: central estimates and probability distributions of risk in dose-response modeling
    • Kopylev L, Chen C, White P, 2007. Towards quantitative uncertainty assessment for cancer risks: central estimates and probability distributions of risk in dose-response modeling. Regul Toxicol Pharmacol 49: 203-7.
    • (2007) Regul Toxicol Pharmacol , vol.49 , pp. 203-207
    • Kopylev, L.1    Chen, C.2    White, P.3
  • 10
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  • 11
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    • Bayesian statistics without tears: a sampling-resampling perspective
    • Smith A, Gelfand A. 1992. Bayesian statistics without tears: a sampling-resampling perspective. Am Statistician 46 (2): 84-89.
    • (1992) Am Statistician , vol.46 , Issue.2 , pp. 84-89
    • Smith, A.1    Gelfand, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.