Filtros : "MCMCmethods" Limpar

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  • Source: Brazilian Journal of Biometrics. Unidade: FMRP

    Subjects: DADOS CENSURADOS, MÉTODOS MCMC, INFERÊNCIA BAYESIANA, SOBREVIDA, NEOPLASIAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      BARILI, Emerson e ACHCAR, Jorge Alberto. Survival analysis of critically ill patients with cancer: use of semiparametric (transformation models) under a hierarchical Bayesian approach. Brazilian Journal of Biometrics, v. 43, 2025Tradução . . Disponível em: https://doi.org/10.28951/bjb.v43i3.722. Acesso em: 12 abr. 2026.
    • APA

      Barili, E., & Achcar, J. A. (2025). Survival analysis of critically ill patients with cancer: use of semiparametric (transformation models) under a hierarchical Bayesian approach. Brazilian Journal of Biometrics, 43. doi:10.28951/bjb.v43i3.722
    • NLM

      Barili E, Achcar JA. Survival analysis of critically ill patients with cancer: use of semiparametric (transformation models) under a hierarchical Bayesian approach [Internet]. Brazilian Journal of Biometrics. 2025 ; 43[citado 2026 abr. 12 ] Available from: https://doi.org/10.28951/bjb.v43i3.722
    • Vancouver

      Barili E, Achcar JA. Survival analysis of critically ill patients with cancer: use of semiparametric (transformation models) under a hierarchical Bayesian approach [Internet]. Brazilian Journal of Biometrics. 2025 ; 43[citado 2026 abr. 12 ] Available from: https://doi.org/10.28951/bjb.v43i3.722

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