The generalized log-gama mixture model with covariates / Modelos de regressão log-gama generalizado com fração de cura

AUTOR(ES)

Fernanda Bührer Rizzato

DATA DE PUBLICAÇÃO

2007

RESUMO

In this work the generalized log-gama model is modified for possibility that long-term survivors are present in the data . The models attempt to estimate separately the effects of covariates on the accelaration/decelaration of the timing of a given event and surviving fraction; that is, the proportion of the population for which the event never occurs. The logistic function is used for the regression model of the surviving fraction. Inference for the model parameters is considered via maximum likelihood. Some influence methods, such as the local influence, total local influence of an individual are derived, analyzed and discussed. Finally, a data set from the medical area is analyzed under log-gama generalized mixture model. A residual analysis is performed in order to select an appropriate model.

ASSUNTO(S)

análise de sobrevivência dados censurados survival analysis censored date regression and correlation analysis likelihood verossimilhança análise de regressão e de correlação

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