The re-parameterized inverse Gaussian regression to model length of stay of COVID-19 patients in the public health care system of Piracicaba, Brazil

Autor: E. M. Hashimoto, E. M. M. Ortega, G. M. Cordeiro, V. G. Cancho, I. Silva

Publikováno v: Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
J Appl Stat

Among the models applied to analyze survival data, a standout is the inverse Gaussian distribution, which belongs to the class of models to analyze positive asymmetric data. However, the variance of this distribution depends on two parameters, which

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0a2f3affe14d36647d7dd94e17a1ae8
https://doi.org/10.1080/02664763.2022.2036707