Hazard models on survival analysis / Modelos de riscos aplicados à análise de sobrevivência

AUTOR(ES)

Gleici da Silva Castro Perdona

DATA DE PUBLICAÇÃO

2006

RESUMO

Assuming special suppositions for the hazard function have been the strategy used for many authors in order to guarantee general and Pexible models for survival and reliability data. The present thesis considers two classes of hazard models, with the basic objective of proposing more Pexible models, studying their properties and proposing possible comparisons via hypothesis tests. We consider, three families of models where the struture was based in hazard function. The Drst class is a special case of the extented hazard model (Louzada, 1999). This class of models is composed by models with relationship between the scale parameter and the covariates could be log-linear or log-non-linear, we consider the log-non-linear. The second class is into the context of competing risk, where we do not known what kind of risk is responsable for the fail.or death. The third class, proposed in this work refers to a context of long term survivals. All the procedures were ilustrated in real datasets

ASSUNTO(S)

modelo weibull modificado teste de sobrevivência acelerando-tsa modified weibull model riscos competitivos modelos de risco modelos de longa durção distribuição weibull weibull distribution accelerated failure test long-logistic distribuition long term model survival competing risk hazard models função de risco sobrevivência

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