Maximum likelihood estimation in the proportional hazards cure model
نویسندگان
چکیده
The proportional hazards curemodel generalizes Cox’s proportional hazardsmodel which allows that a proportion of study subjects may never experience the event of interest. Here nonparametricmaximum likelihood approach is proposed to estimating the cumulative hazard and the regression parameters. The asymptotic properties of the resulting estimators are established using the modern empirical process theory. And the estimators for the regression parameters are shown to be semiparametric efficient.
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