Filtros : "ESTATÍSTICA" "Chen, Ming-Hui" Limpar

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  • Source: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA

    Acesso à fonteDOIHow to cite
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    • ABNT

      CASTRO, Mário de e CHEN, Ming-Hui e ZHANG, Yuanye. Bayesian frailty models for multi-state survival data. Statistical applications from clinical trials and personalized medicine to finance and business analytics. Tradução . Cham: Springer, 2016. p. 351 . Disponível em: https://doi.org/10.1007/978-3-319-42568-9_4. Acesso em: 11 nov. 2025.
    • APA

      Castro, M. de, Chen, M. -H., & Zhang, Y. (2016). Bayesian frailty models for multi-state survival data. In Statistical applications from clinical trials and personalized medicine to finance and business analytics (p. 351 ). Cham: Springer. doi:10.1007/978-3-319-42568-9_4
    • NLM

      Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4
    • Vancouver

      Castro M de, Chen M-H, Zhang Y. Bayesian frailty models for multi-state survival data [Internet]. In: Statistical applications from clinical trials and personalized medicine to finance and business analytics. Cham: Springer; 2016. p. 351 .[citado 2025 nov. 11 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4
  • Source: Biometrics. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CASTRO, Mário de e CHEN, Ming-Hui e ZHANG, Yuanye. Bayesian path specific frailty models for multi-state survival data with applications. Biometrics, v. 71, n. 3, p. 760-771, 2015Tradução . . Disponível em: https://doi.org/10.1111/biom.12298. Acesso em: 11 nov. 2025.
    • APA

      Castro, M. de, Chen, M. -H., & Zhang, Y. (2015). Bayesian path specific frailty models for multi-state survival data with applications. Biometrics, 71( 3), 760-771. doi:10.1111/biom.12298
    • NLM

      Castro M de, Chen M-H, Zhang Y. Bayesian path specific frailty models for multi-state survival data with applications [Internet]. Biometrics. 2015 ; 71( 3): 760-771.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1111/biom.12298
    • Vancouver

      Castro M de, Chen M-H, Zhang Y. Bayesian path specific frailty models for multi-state survival data with applications [Internet]. Biometrics. 2015 ; 71( 3): 760-771.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1111/biom.12298
  • Source: Scandinavian Journal of Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      CASTRO, Mário de et al. Bayesian transformation models for multivariate survival data. Scandinavian Journal of Statistics, v. 41, n. 1, p. 187-199, 2014Tradução . . Disponível em: https://doi.org/10.1111/sjos.12010. Acesso em: 11 nov. 2025.
    • APA

      Castro, M. de, Chen, M. -H., Ibrahim, J. G., & Klein, J. P. (2014). Bayesian transformation models for multivariate survival data. Scandinavian Journal of Statistics, 41( 1), 187-199. doi:10.1111/sjos.12010
    • NLM

      Castro M de, Chen M-H, Ibrahim JG, Klein JP. Bayesian transformation models for multivariate survival data [Internet]. Scandinavian Journal of Statistics. 2014 ; 41( 1): 187-199.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1111/sjos.12010
    • Vancouver

      Castro M de, Chen M-H, Ibrahim JG, Klein JP. Bayesian transformation models for multivariate survival data [Internet]. Scandinavian Journal of Statistics. 2014 ; 41( 1): 187-199.[citado 2025 nov. 11 ] Available from: https://doi.org/10.1111/sjos.12010

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