Filtros : "BIOESTATÍSTICA" "2019" Limpar

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  • Source: Bernoulli. Unidade: IME

    Subjects: BIOESTATÍSTICA, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      DUARTE, Aline et al. Estimating the interaction graph of stochastic neural dynamics. Bernoulli, v. 25, n. 1, p. 771-792, 2019Tradução . . Disponível em: https://doi.org/10.3150/17-bej1006. Acesso em: 10 nov. 2025.
    • APA

      Duarte, A., Galves, A., Löcherbach, E., & Ost, G. (2019). Estimating the interaction graph of stochastic neural dynamics. Bernoulli, 25( 1), 771-792. doi:10.3150/17-bej1006
    • NLM

      Duarte A, Galves A, Löcherbach E, Ost G. Estimating the interaction graph of stochastic neural dynamics [Internet]. Bernoulli. 2019 ; 25( 1): 771-792.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3150/17-bej1006
    • Vancouver

      Duarte A, Galves A, Löcherbach E, Ost G. Estimating the interaction graph of stochastic neural dynamics [Internet]. Bernoulli. 2019 ; 25( 1): 771-792.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3150/17-bej1006
  • Source: Cells. Unidades: FM, IME

    Subjects: BIOESTATÍSTICA, NEOPLASIAS MAMÁRIAS, QUIMIOTERAPIA

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    • ABNT

      KATAYAMA, Maria Lúcia Hirata et al. Stromal cell signature associated with response to neoadjuvant chemotherapy in locally advanced breast cancer. Cells, v. 8, n. 12, 2019Tradução . . Disponível em: https://doi.org/10.3390/cells8121566. Acesso em: 10 nov. 2025.
    • APA

      Katayama, M. L. H., Vieira, R. A. da C., Andrade, V. P. de, Roela, R. A., Lima, L. G. C. A., Kerr, L. M., et al. (2019). Stromal cell signature associated with response to neoadjuvant chemotherapy in locally advanced breast cancer. Cells, 8( 12). doi:10.3390/cells8121566
    • NLM

      Katayama MLH, Vieira RA da C, Andrade VP de, Roela RA, Lima LGCA, Kerr LM, Polpo A, Pereira CA de B, Serio PA de MP, Encinas G, Maistro S, Petroni M de AL, Brentani MM, Folgueira MAAK. Stromal cell signature associated with response to neoadjuvant chemotherapy in locally advanced breast cancer [Internet]. Cells. 2019 ; 8( 12):[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/cells8121566
    • Vancouver

      Katayama MLH, Vieira RA da C, Andrade VP de, Roela RA, Lima LGCA, Kerr LM, Polpo A, Pereira CA de B, Serio PA de MP, Encinas G, Maistro S, Petroni M de AL, Brentani MM, Folgueira MAAK. Stromal cell signature associated with response to neoadjuvant chemotherapy in locally advanced breast cancer [Internet]. Cells. 2019 ; 8( 12):[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/cells8121566
  • Source: Proceedings. Conference titles: ISI World Statistics Congress. Unidades: IME, FM

    Assunto: BIOESTATÍSTICA

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    • ABNT

      BARROSO, Lucia Pereira e ANDRÉ, Carmen Diva Saldiva de e SALDIVA, Paulo Hilário Nascimento. Automatic assignment of underlying cause of death based on verbal autopsy instrument. 2019, Anais.. Putrajaya: Department of Statistics Malaysia, 2019. Disponível em: https://2019.isiproceedings.org/Files/13.Contributed-Paper-Session(CPS)-Volume-7.pdf. Acesso em: 10 nov. 2025.
    • APA

      Barroso, L. P., André, C. D. S. de, & Saldiva, P. H. N. (2019). Automatic assignment of underlying cause of death based on verbal autopsy instrument. In Proceedings. Putrajaya: Department of Statistics Malaysia. Recuperado de https://2019.isiproceedings.org/Files/13.Contributed-Paper-Session(CPS)-Volume-7.pdf
    • NLM

      Barroso LP, André CDS de, Saldiva PHN. Automatic assignment of underlying cause of death based on verbal autopsy instrument [Internet]. Proceedings. 2019 ;[citado 2025 nov. 10 ] Available from: https://2019.isiproceedings.org/Files/13.Contributed-Paper-Session(CPS)-Volume-7.pdf
    • Vancouver

      Barroso LP, André CDS de, Saldiva PHN. Automatic assignment of underlying cause of death based on verbal autopsy instrument [Internet]. Proceedings. 2019 ;[citado 2025 nov. 10 ] Available from: https://2019.isiproceedings.org/Files/13.Contributed-Paper-Session(CPS)-Volume-7.pdf
  • Source: Epidemiology and Infection. Unidade: IME

    Subjects: BIOESTATÍSTICA, ANÁLISE DE SÉRIES TEMPORAIS

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    • ABNT

      GABRIEL, Ana Flávia Barbosa e ALENCAR, Airlane Pereira e MIRAGLIA, Simone Georges El Khouri. Dengue outbreaks: unpredictable incidence time series. Epidemiology and Infection, v. 147, p. 1-7, 2019Tradução . . Disponível em: https://doi.org/10.1017/s0950268819000311. Acesso em: 10 nov. 2025.
    • APA

      Gabriel, A. F. B., Alencar, A. P., & Miraglia, S. G. E. K. (2019). Dengue outbreaks: unpredictable incidence time series. Epidemiology and Infection, 147, 1-7. doi:10.1017/s0950268819000311
    • NLM

      Gabriel AFB, Alencar AP, Miraglia SGEK. Dengue outbreaks: unpredictable incidence time series [Internet]. Epidemiology and Infection. 2019 ; 147 1-7.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1017/s0950268819000311
    • Vancouver

      Gabriel AFB, Alencar AP, Miraglia SGEK. Dengue outbreaks: unpredictable incidence time series [Internet]. Epidemiology and Infection. 2019 ; 147 1-7.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1017/s0950268819000311
  • Source: Mathematics. Unidade: IME

    Subjects: BIOESTATÍSTICA, PROCESSOS ESTOCÁSTICOS

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    • ABNT

      DUARTE, Aline et al. Retrieving a context tree from EEG data. Mathematics, v. 7, n. 5, p. 1-13, 2019Tradução . . Disponível em: https://doi.org/10.3390/math7050427. Acesso em: 10 nov. 2025.
    • APA

      Duarte, A., Fraiman, R., Galves, A., Ost, G., & Vargas, C. D. (2019). Retrieving a context tree from EEG data. Mathematics, 7( 5), 1-13. doi:10.3390/math7050427
    • NLM

      Duarte A, Fraiman R, Galves A, Ost G, Vargas CD. Retrieving a context tree from EEG data [Internet]. Mathematics. 2019 ; 7( 5): 1-13.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/math7050427
    • Vancouver

      Duarte A, Fraiman R, Galves A, Ost G, Vargas CD. Retrieving a context tree from EEG data [Internet]. Mathematics. 2019 ; 7( 5): 1-13.[citado 2025 nov. 10 ] Available from: https://doi.org/10.3390/math7050427
  • Source: Journal of Applied Statistics. Unidade: IME

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

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    • 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: 10 nov. 2025.
    • 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 2025 nov. 10 ] 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 2025 nov. 10 ] Available from: https://doi.org/10.1080/02664763.2018.1531978

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