## Modelagem de dados de sobrevivência via modelo de risco logístico generalizado

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##### Fecha

2005-03-30##### Autor

Cremasco, Caroline Pires

http://lattes.cnpq.br/5339144730881561

##### Metadatos

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The modeling of data of survival with the presence of covariáveis by means of the risk function
has been each used time more had the easiness of interpretation One of the examples most important
of risk models is the model of proportional risks considered by Cox (1972). However, this model
assumes the proportionality enters the risk functions in diLerent levels of the covariáveis. To
accomodate situations where the model of proportional risks is not adjusted, some types of notproportional
models are being developed, as the model of sped up imperfection, considered for
Prentice (1978), the model of hybrid risk of Etezadi-Amoli and Ciampi (1987) and the generalized
models of hybrid risk of Louzada-Neto (1997 and 1999). In this work we explore an one new
family parametric of model of dependent not-proportional risk of the time (McKenzie, 1999). This
model is based on the generalization of the usual logistic function and is motivated, in part, for the
necessity of if considering the eLect of the time in the modeling, and, in part, for the preference
in if considering a parametric structure for the risk function. Some inferenciais procedures related
this new family of models are presented.The modeling of data of survival with the presence of covariáveis by means of the risk function
has been each used time more had the easiness of interpretation One of the examples most important
of risk models is the model of proportional risks considered by Cox (1972). However, this model
assumes the proportionality enters the risk functions in diLerent levels of the covariáveis. To
accomodate situations where the model of proportional risks is not adjusted, some types of notproportional
models are being developed, as the model of sped up imperfection, considered for
Prentice (1978), the model of hybrid risk of Etezadi-Amoli and Ciampi (1987) and the generalized
models of hybrid risk of Louzada-Neto (1997 and 1999). In this work we explore an one new
family parametric of model of dependent not-proportional risk of the time (McKenzie, 1999). This
model is based on the generalization of the usual logistic function and is motivated, in part, for the
necessity of if considering the eLect of the time in the modeling, and, in part, for the preference
in if considering a parametric structure for the risk function. Some inferenciais procedures related
this new family of models are presented.