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Filtros : "Journal of Applied Statistics" "BIOESTATÍSTICA" Removido: "Indexado no Current Contents" Limpar

Filtros

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
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: 17 out. 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 out. 17 ] 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 out. 17 ] Available from: https://doi.org/10.1080/02664763.2018.1531978
Artigo de periodico
A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up (2011)
Martinez, Edson Zangiacomi; Aragon, Davi Casale; Achcar, Jorge Alberto
Source: Journal of Applied Statistics. Unidade: FMRP
Subjects: BIOESTATÍSTICA, MALÁRIA, INFERÊNCIA BAYESIANA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MARTINEZ, Edson Zangiacomi e ARAGON, Davi Casale e ACHCAR, Jorge Alberto. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up. Journal of Applied Statistics, v. 38, n. 6, p. 1303-1309, 2011Tradução . . Disponível em: https://doi.org/10.1080/02664763.2010.498503. Acesso em: 17 out. 2024.
APA
Martinez, E. Z., Aragon, D. C., & Achcar, J. A. (2011). A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up. Journal of Applied Statistics, 38( 6), 1303-1309. doi:10.1080/02664763.2010.498503
NLM
Martinez EZ, Aragon DC, Achcar JA. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up [Internet]. Journal of Applied Statistics. 2011 ; 38( 6): 1303-1309.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2010.498503
Vancouver
Martinez EZ, Aragon DC, Achcar JA. A Bayesian model for estimating the malaria transition probabilities considering individuals lost to follow-up [Internet]. Journal of Applied Statistics. 2011 ; 38( 6): 1303-1309.[citado 2024 out. 17 ] Available from: https://doi.org/10.1080/02664763.2010.498503

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