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Cure hazard model for breast cancer survival


Breast cancer is the most frequent malignancy among women worldwide. In this context, there has been interest in describing characteristics, health conditions and treatments as well as to estimate the survival of women affected by breast cancer. In order to evaluate these characteristics appropriate quantitative methods should be used as a method of survival analysis to estimate the survival of women affected by this malignancy.However, despite the importance of the breast cancer, there are few regional surveys on the problem in Brazil. Thus, the aim of this research project is to study models for survival data in the presence of long time and covariates, particularly based on the hazard function, to estimate the survival of patients with breast malignancy treated in Ribeirão Preto and region. The models proposed by Perdoná (2006) will be considered, as well as interval estimation procedures for the model parameters using asymptotic methods, bootstrap intervals (parametric and nonparametric), ranges profiles, procedures and Bayesian hypothesis testing procedure for the parameters of model. The models will be applied to data released by researchers in the field of oncology. (AU)

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