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Filtros : "Chen, Ming-Hui" Limpar

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1 - 8 (8 records)

  • Parte de monografia/livro

    Bayesian survival analysis in the presence 45 of monotone likelihoods (2023)

    Wu, Jing ; Castro, Mário de ; Chen, Ming-Hui

    Source: Springer Handbook of Engineering Statistics. Unidade: ICMC

    Subjects: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, VEROSSIMILHANÇA, ANÁLISE DE RISCO, ANÁLISE DE SOBREVIVÊNCIA

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    • ABNT

      WU, Jing e CASTRO, Mário de e CHEN, Ming-Hui. Bayesian survival analysis in the presence 45 of monotone likelihoods. Springer Handbook of Engineering Statistics. Tradução . London: Springer, 2023. . Disponível em: https://doi.org/10.1007/978-1-4471-7503-2_45. Acesso em: 04 dez. 2025.

    • APA

      Wu, J., Castro, M. de, & Chen, M. -H. (2023). Bayesian survival analysis in the presence 45 of monotone likelihoods. In Springer Handbook of Engineering Statistics. London: Springer. doi:10.1007/978-1-4471-7503-2_45

    • NLM

      Wu J, Castro M de, Chen M-H. Bayesian survival analysis in the presence 45 of monotone likelihoods [Internet]. In: Springer Handbook of Engineering Statistics. London: Springer; 2023. [citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/978-1-4471-7503-2_45

    • Vancouver

      Wu J, Castro M de, Chen M-H. Bayesian survival analysis in the presence 45 of monotone likelihoods [Internet]. In: Springer Handbook of Engineering Statistics. London: Springer; 2023. [citado 2025 dez. 04 ] Available from: https://doi.org/10.1007/978-1-4471-7503-2_45

  • Artigo de periodico

    A bayesian multi-risks survival (MRS) model in the presence of double censorings (2020)

    Castro, Mário de ; Chen, Ming-Hui; Zhang, Yuanye; D'Amico, Anthony Victor

    Source: Biometrics. Unidade: ICMC

    Subjects: ANÁLISE DE SOBREVIVÊNCIA, MÉTODOS MCMC, NEOPLASIAS PROSTÁTICAS

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    • ABNT

      CASTRO, Mário de et al. A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, v. 76, n. 4, p. 1297-1309, 2020Tradução . . Disponível em: https://doi.org/10.1111/biom.13228. Acesso em: 04 dez. 2025.

    • APA

      Castro, M. de, Chen, M. -H., Zhang, Y., & D'Amico, A. V. (2020). A bayesian multi-risks survival (MRS) model in the presence of double censorings. Biometrics, 76( 4), 1297-1309. doi:10.1111/biom.13228

    • NLM

      Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1111/biom.13228

    • Vancouver

      Castro M de, Chen M-H, Zhang Y, D'Amico AV. A bayesian multi-risks survival (MRS) model in the presence of double censorings [Internet]. Biometrics. 2020 ; 76( 4): 1297-1309.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1111/biom.13228

  • Artigo de periodico

    Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood (2018)

    Wu, Jing; Castro, Mário de ; Elizabeth D. Schifano; Chen, Ming-Hui

    Source: Journal of Statistical Theory and Practice. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA, INFERÊNCIA ESTATÍSTICA

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    • ABNT

      WU, Jing et al. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, v. 12, n. 1, p. 23-41, 2018Tradução . . Disponível em: https://doi.org/10.1080/15598608.2017.1299058. Acesso em: 04 dez. 2025.

    • APA

      Wu, J., Castro, M. de, Elizabeth D. Schifano,, & Chen, M. -H. (2018). Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood. Journal of Statistical Theory and Practice, 12( 1), 23-41. doi:10.1080/15598608.2017.1299058

    • NLM

      Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/15598608.2017.1299058

    • Vancouver

      Wu J, Castro M de, Elizabeth D. Schifano, Chen M-H. Assessing covariate effects using Jeffreys-type prior in the Cox model in the presence of a monotone partial likelihood [Internet]. Journal of Statistical Theory and Practice. 2018 ; 12( 1): 23-41.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1080/15598608.2017.1299058

  • Parte de monografia/livro

    Bayesian frailty models for multi-state survival data (2016)

    Castro, Mário de ; Chen, Ming-Hui; Zhang, Yuanye

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

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA

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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: 04 dez. 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 dez. 04 ] 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 dez. 04 ] Available from: https://doi.org/10.1007/978-3-319-42568-9_4

  • Artigo de periodico

    Bayesian path specific frailty models for multi-state survival data with applications (2015)

    Castro, Mário de ; Chen, Ming-Hui; Zhang, Yuanye

    Source: Biometrics. Unidade: ICMC

    Subjects: ESTATÍSTICA, ESTATÍSTICA APLICADA, INFERÊNCIA BAYESIANA

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    • 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: 04 dez. 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 dez. 04 ] 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 dez. 04 ] Available from: https://doi.org/10.1111/biom.12298

  • Artigo de periodico

    Bayesian transformation models for multivariate survival data (2014)

    Castro, Mário de ; Chen, Ming-Hui; Ibrahim, Joseph G.; Klein, John P.

    Source: Scandinavian Journal of Statistics. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA, ESTATÍSTICA APLICADA

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    • 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: 04 dez. 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 dez. 04 ] 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 dez. 04 ] Available from: https://doi.org/10.1111/sjos.12010

  • Artigo de periodico

    Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial (2013)

    Kim, Miranda B.; Chen, Ming-Hui; Castro, Mário de ; Loffredo, Marian; Kantoff, Philip W.; D'Amico, Anthony Victor

    Source: Cancer. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA

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    • ABNT

      KIM, Miranda B. et al. Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial. Cancer, v. 119, n. 18, p. 3280\20133286, 2013Tradução . . Disponível em: https://doi.org/10.1002/cncr.28202. Acesso em: 04 dez. 2025.

    • APA

      Kim, M. B., Chen, M. -H., Castro, M. de, Loffredo, M., Kantoff, P. W., & D'Amico, A. V. (2013). Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial. Cancer, 119( 18), 3280\20133286. doi:10.1002/cncr.28202

    • NLM

      Kim MB, Chen M-H, Castro M de, Loffredo M, Kantoff PW, D'Amico AV. Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial [Internet]. Cancer. 2013 ; 119( 18): 3280\20133286.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1002/cncr.28202

    • Vancouver

      Kim MB, Chen M-H, Castro M de, Loffredo M, Kantoff PW, D'Amico AV. Defining the optimal approach to the patient with postradiation prostate-specific antigen recurrence using outcome data from a prospective randomized trial [Internet]. Cancer. 2013 ; 119( 18): 3280\20133286.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1002/cncr.28202

  • Artigo de periodico

    Surrogate endpoints for prostate cancer-specific mortality after radiotherapy and androgen suppression therapy in men with localised or locally advanced prostate cancer: an analysis of two randomised trials (2012)

    D'Amico, Anthony Victor; Chen, Ming-Hui; Castro, Mário de ; Loffredo, Marian; Lamb, David S.; Steigler, Allison; Kantoff, Philip W.; Denham, James W.

    Source: The Lancet Oncology. Unidade: ICMC

    Subjects: INFERÊNCIA BAYESIANA, ESTATÍSTICA APLICADA

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    • ABNT

      D'AMICO, Anthony Victor et al. Surrogate endpoints for prostate cancer-specific mortality after radiotherapy and androgen suppression therapy in men with localised or locally advanced prostate cancer: an analysis of two randomised trials. The Lancet Oncology, v. 13, n. 2, p. 189-195, 2012Tradução . . Disponível em: https://doi.org/10.1016/S1470-2045(11)70295-9. Acesso em: 04 dez. 2025.

    • APA

      D'Amico, A. V., Chen, M. -H., Castro, M. de, Loffredo, M., Lamb, D. S., Steigler, A., et al. (2012). Surrogate endpoints for prostate cancer-specific mortality after radiotherapy and androgen suppression therapy in men with localised or locally advanced prostate cancer: an analysis of two randomised trials. The Lancet Oncology, 13( 2), 189-195. doi:10.1016/S1470-2045(11)70295-9

    • NLM

      D'Amico AV, Chen M-H, Castro M de, Loffredo M, Lamb DS, Steigler A, Kantoff PW, Denham JW. Surrogate endpoints for prostate cancer-specific mortality after radiotherapy and androgen suppression therapy in men with localised or locally advanced prostate cancer: an analysis of two randomised trials [Internet]. The Lancet Oncology. 2012 ; 13( 2): 189-195.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/S1470-2045(11)70295-9

    • Vancouver

      D'Amico AV, Chen M-H, Castro M de, Loffredo M, Lamb DS, Steigler A, Kantoff PW, Denham JW. Surrogate endpoints for prostate cancer-specific mortality after radiotherapy and androgen suppression therapy in men with localised or locally advanced prostate cancer: an analysis of two randomised trials [Internet]. The Lancet Oncology. 2012 ; 13( 2): 189-195.[citado 2025 dez. 04 ] Available from: https://doi.org/10.1016/S1470-2045(11)70295-9
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