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Mixture models for type II censored survival data in the presence of covariates

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Summary

In this paper, we present a Bayesian analysis of mixture models for survival data in the presence of one covariate, and type II censoring data. Considering Gibbs with Metropolis-Hastings algorithms, we get Monte Carlo estimates for the posterior quantities of interest, assuming different choices for the densities in the mixture model. We introduce a numerical example, to illustrate the proposed methodology.

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Acknowledgements

The authors are thankful to the referees for some useful suggestions.

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Authors and Affiliations

  1. Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo, C. Postal 668, 135960-970, São Carlos, SP, Brazil

    Jorge Alberto Achcar

  2. Departamento de Enfermagem em Saúde Comunitária, Faculdade de Medicina do Triângulo Mineiro-FMTM, Praça Manoel Terra S/N, 38015-150, Uberaba, MG, Brazil

    Gilberto de Araújo Pereira

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  1. Jorge Alberto Achcar
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  2. Gilberto de Araújo Pereira
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Achcar, J.A., de Araújo Pereira, G. Mixture models for type II censored survival data in the presence of covariates. Computational Statistics 14, 233–250 (1999). https://doi.org/10.1007/s001800050015

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