Hashimoto, Elisabeth Mie 
; Ortega, Edwin Moiséis Marcos ; Cordeiro, Gauss Moutinho ; Suzuki, Adriano Kamimura ; Kattan, Michael W
Fonte: Journal of Applied Statistics. Unidades: ESALQ, ICMC
Assuntos: ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, DADOS CATEGORIZADOS, INFERÊNCIA BAYESIANA, TRANSPLANTE DE RIM
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HASHIMOTO, Elisabeth Mie et al. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, v. 47, n. 12, p. 2159–2177, 2020Tradução . . Disponível em: https://doi.org/10.1080/02664763.2019.1706725. Acesso em: 11 nov. 2024.APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Suzuki, A. K., & Kattan, M. W. (2020). The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis. Journal of Applied Statistics, 47( 12), 2159–2177. doi:10.1080/02664763.2019.1706725NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1080/02664763.2019.1706725Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Suzuki AK, Kattan MW. The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis [Internet]. Journal of Applied Statistics. 2020 ; 47( 12): 2159–2177.[citado 2024 nov. 11 ] Available from: https://doi.org/10.1080/02664763.2019.1706725
