Prospective survival analysis with a general semiparametric shared frailty model - a pseudo full likelihood approach
نویسندگان
چکیده
1 Summary In this work we provide a simple estimation procedure for a general frailty model for analysis of prospective correlated failure times. Rigorous large-sample theory for the proposed estimators of both the regression coefficient vector and the dependence parameter is given, including consistent variance estimators. In a simulation study under the widely used gamma frailty model, our proposed approach was found to have essentially the same efficiency as the EM-based estimator considered by other authors, with negligible difference between the standard errors of the two estimators. The proposed approach, however, provides a framework capable of handling general frailty distributions with finite moments and yields an explicit consistent variance estimator.
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Pseudo full likelihood estimation for prospective survival analysis with a general semiparametric shared frailty model: asymptotic theory
In this work we present a simple estimation procedure for a general frailty model for analysis of prospective correlated failure times. Earlier work showed this method to perform well in a simulation study. Here we provide rigorous large-sample theory for the proposed estimators of both the regression coefficient vector and the dependence parameter, including consistent variance estimators.
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