Source: nal of Applied Statistics. Unidades: ESALQ, ICMC
Subjects: COVID-19, DADOS CENSURADOS, ANÁLISE DE REGRESSÃO E DE CORRELAÇÃO, SISTEMA ÚNICO DE SAÚDE
ABNT
HASHIMOTO, Elisabeth Mie et al. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. nal of Applied Statistics, 2022Tradução . . Disponível em: https://doi.org/10.1080/02664763.2022.2036707. Acesso em: 05 jul. 2022.APA
Hashimoto, E. M., Ortega, E. M. M., Cordeiro, G. M., Cancho, V. G., & Silva, I. (2022). The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil. nal of Applied Statistics. doi:10.1080/02664763.2022.2036707NLM
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. nal of Applied Statistics. 2022 ;[citado 2022 jul. 05 ] Available from: https://doi.org/10.1080/02664763.2022.2036707Vancouver
Hashimoto EM, Ortega EMM, Cordeiro GM, Cancho VG, Silva I. The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil [Internet]. nal of Applied Statistics. 2022 ;[citado 2022 jul. 05 ] Available from: https://doi.org/10.1080/02664763.2022.2036707