Modelling non-proportional hazard for survival data with different systematic components
Environ Ecol Stat, v. 27, p. 467–489, set. 2020
Article
en En
| SES-SP, SESSP-IBPROD, SES-SP
| ID: bud-4129
Biblioteca responsable:
BR78.1
ABSTRACT
We propose a new extended regression model based on the logarithm of the generalized odd log-logistic Weibull distribution with four systematic components for the analysis of survival data. This regression model can be very useful and could give more realistic fits than other special regression models. We obtain the maximum likelihood estimates of the model parameters for censored data and address influence diagnostics and residual analysis. We prove empirically the importance of the proposed regression by means of a real data set (survival times of the captive snakes) from a study carried out at the Herpetology Laboratory of the Butantan Institute in São Paulo, Brazil.
Texto completo:
1
Colección:
06-national
/
BR
Base de datos:
SES-SP
/
SESSP-IBPROD
Idioma:
En
Revista:
Environ Ecol Stat
Año:
2020
Tipo del documento:
Article