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Filtros : "Chile" "GIAMPAOLI, VIVIANA" Removido: "ICB-BMP" Limpar

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  • Artigo de periodico

    Data-influence analytics in predictive models applied to asthma disease (2020)

    Tapia, Alejandra ; Giampaoli, Viviana ; Leiva, Víctor ; Lio, Yuhlong

    Source: Mathematics. Unidade: IME

    Subjects: REGRESSÃO LINEAR, BIOESTATÍSTICA, ASMA, ANÁLISE ESTATÍSTICA DE DADOS

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

    • ABNT

      TAPIA, Alejandra et al. Data-influence analytics in predictive models applied to asthma disease. Mathematics, v. 8, n. art. 1587, p. 1-19, 2020Tradução . . Disponível em: https://doi.org/10.3390/math8091587. Acesso em: 16 nov. 2024.

    • APA

      Tapia, A., Giampaoli, V., Leiva, V., & Lio, Y. (2020). Data-influence analytics in predictive models applied to asthma disease. Mathematics, 8( art. 1587), 1-19. doi:10.3390/math8091587

    • NLM

      Tapia A, Giampaoli V, Leiva V, Lio Y. Data-influence analytics in predictive models applied to asthma disease [Internet]. Mathematics. 2020 ; 8( art. 1587): 1-19.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/math8091587

    • Vancouver

      Tapia A, Giampaoli V, Leiva V, Lio Y. Data-influence analytics in predictive models applied to asthma disease [Internet]. Mathematics. 2020 ; 8( art. 1587): 1-19.[citado 2024 nov. 16 ] Available from: https://doi.org/10.3390/math8091587

  • Artigo de periodico

    Influence diagnostics in mixed effects logistic regression models (2019)

    Tapia, Alejandra; Leiva, Victor; Diaz, Maria del Pilar; Giampaoli, Viviana

    Source: Test. Unidade: IME

    Subjects: REGRESSÃO LINEAR, MODELOS LINEARES GENERALIZADOS

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

    • ABNT

      TAPIA, Alejandra et al. Influence diagnostics in mixed effects logistic regression models. Test, v. 28, n. 3, p. 920–942, 2019Tradução . . Disponível em: https://doi.org/10.1007/s11749-018-0613-3. Acesso em: 16 nov. 2024.

    • APA

      Tapia, A., Leiva, V., Diaz, M. del P., & Giampaoli, V. (2019). Influence diagnostics in mixed effects logistic regression models. Test, 28( 3), 920–942. doi:10.1007/s11749-018-0613-3

    • NLM

      Tapia A, Leiva V, Diaz M del P, Giampaoli V. Influence diagnostics in mixed effects logistic regression models [Internet]. Test. 2019 ; 28( 3): 920–942.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11749-018-0613-3

    • Vancouver

      Tapia A, Leiva V, Diaz M del P, Giampaoli V. Influence diagnostics in mixed effects logistic regression models [Internet]. Test. 2019 ; 28( 3): 920–942.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1007/s11749-018-0613-3

  • Artigo de periodico

    Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data (2019)

    Silva, Alejandra Andrea Tapia ; Giampaoli, Viviana ; Diaz, Maria del Pilar ; Leiva-Sanchez, Victor

    Source: Journal of Applied Statistics. Unidade: IME

    Subjects: MÉTODO DE MONTE CARLO, PROCESSOS DE POISSON, BIOESTATÍSTICA

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

    • ABNT

      SILVA, Alejandra Andrea Tapia et al. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, v. 46, n. 6, p. 1021-1042, 2019Tradução . . Disponível em: https://doi.org/10.1080/02664763.2018.1531978. Acesso em: 16 nov. 2024.

    • APA

      Silva, A. A. T., Giampaoli, V., Diaz, M. del P., & Leiva-Sanchez, V. (2019). Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data. Journal of Applied Statistics, 46( 6), 1021-1042. doi:10.1080/02664763.2018.1531978

    • NLM

      Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/02664763.2018.1531978

    • Vancouver

      Silva AAT, Giampaoli V, Diaz M del P, Leiva-Sanchez V. Sensitivity analysis of longitudinal count responses: a local influence approach and application to medical data [Internet]. Journal of Applied Statistics. 2019 ; 46( 6): 1021-1042.[citado 2024 nov. 16 ] Available from: https://doi.org/10.1080/02664763.2018.1531978
  • 1

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