General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv
نویسندگان
چکیده
The semi-parametric Cox proportional hazards (PH) regression model was developed by Sir David Cox (Cox 1972) and is by far the most popular model for survival analysis. The model defines a hazard function, which is the rate of an event occurring at any given time, given the observation is still at risk, as a function of the observed covariates. When data consist of independent and identically distributed observations, the parameters of the Cox PH model are estimated using the partial likelihood (Cox 1975) and the Breslow estimator (Breslow 1974).
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ورودعنوان ژورنال:
- CoRR
دوره abs/1702.06407 شماره
صفحات -
تاریخ انتشار 2017