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  • Artigo de periodico

    Statistical analysis of medical lifetime data in presence of censored data and covariates using semiparametric transformation models under a Bayesian approach (2024)

    Barili, Emerson ; Achcar, Jorge Alberto

    Source: Journal of Future Medicine and Healthcare Innovation. Unidade: FMRP

    Subjects: ESTATÍSTICA, INFERÊNCIA BAYESIANA, REGISTROS DE DOENÇAS, REGISTROS MÉDICOS

    Versão PublicadaAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      BARILI, Emerson e ACHCAR, Jorge Alberto. Statistical analysis of medical lifetime data in presence of censored data and covariates using semiparametric transformation models under a Bayesian approach. Journal of Future Medicine and Healthcare Innovation, v. 2, n. 1, p. 1-15, 2024Tradução . . Disponível em: https://www.opastpublishers.com/open-access-articles/statistical-analysis-of-medical-lifetime-data-in-presence-of-censored-data-and-covariates-using-semiparametric-transform.pdf. Acesso em: 25 abr. 2026.

    • APA

      Barili, E., & Achcar, J. A. (2024). Statistical analysis of medical lifetime data in presence of censored data and covariates using semiparametric transformation models under a Bayesian approach. Journal of Future Medicine and Healthcare Innovation, 2( 1), 1-15. Recuperado de https://www.opastpublishers.com/open-access-articles/statistical-analysis-of-medical-lifetime-data-in-presence-of-censored-data-and-covariates-using-semiparametric-transform.pdf

    • NLM

      Barili E, Achcar JA. Statistical analysis of medical lifetime data in presence of censored data and covariates using semiparametric transformation models under a Bayesian approach [Internet]. Journal of Future Medicine and Healthcare Innovation. 2024 ; 2( 1): 1-15.[citado 2026 abr. 25 ] Available from: https://www.opastpublishers.com/open-access-articles/statistical-analysis-of-medical-lifetime-data-in-presence-of-censored-data-and-covariates-using-semiparametric-transform.pdf

    • Vancouver

      Barili E, Achcar JA. Statistical analysis of medical lifetime data in presence of censored data and covariates using semiparametric transformation models under a Bayesian approach [Internet]. Journal of Future Medicine and Healthcare Innovation. 2024 ; 2( 1): 1-15.[citado 2026 abr. 25 ] Available from: https://www.opastpublishers.com/open-access-articles/statistical-analysis-of-medical-lifetime-data-in-presence-of-censored-data-and-covariates-using-semiparametric-transform.pdf

  • Artigo de periodico

    Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world (2023)

    Barili, Emerson; Achcar, Jorge Alberto

    Source: Biomedical Science and Clinical Research. Unidade: FMRP

    Subjects: MUDANÇA CLIMÁTICA, REGRESSÃO LINEAR, PRECIPITAÇÃO ATMOSFÉRICA

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      BARILI, Emerson e ACHCAR, Jorge Alberto. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world. Biomedical Science and Clinical Research, v. 2, n. 1, p. 149-158, 2023Tradução . . Disponível em: https://doi.org/10.33140/BSCR. Acesso em: 25 abr. 2026.

    • APA

      Barili, E., & Achcar, J. A. (2023). Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world. Biomedical Science and Clinical Research, 2( 1), 149-158. doi:10.33140/BSCR

    • NLM

      Barili E, Achcar JA. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world [Internet]. Biomedical Science and Clinical Research. 2023 ; 2( 1): 149-158.[citado 2026 abr. 25 ] Available from: https://doi.org/10.33140/BSCR

    • Vancouver

      Barili E, Achcar JA. Use of segmented linear regression under a bayesian approach to detect climate change in different regions of the world [Internet]. Biomedical Science and Clinical Research. 2023 ; 2( 1): 149-158.[citado 2026 abr. 25 ] Available from: https://doi.org/10.33140/BSCR
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