Cox regression models for frailty in vascular surgery patients - a reply

Cox and Frailty Models for Analysis of Esophageal Cancer Data‎

‎By existing censor and skewness in survival data‎, ‎some models such as weibull are used to analyzing survival data‎. ‎In addition, parametric and semiparametric models can be obtained from baseline hazard function of Cox model to fit to survival data‎. ‎However these models are popular because of their simple usage but do not consider unknown risk factors‎, ‎that's why cannot introduce the be...

Regularization in Cox Frailty Models

In all sorts of regression problems it has become more and more important to deal with high dimensional data with lots of potentially influential covariates. A possible solution is to apply estimation methods that aim at the detection of the relevant effect structure by using penalization methods. In this work, the effect structure in the Cox frailty model, which is the most widely used model t...

Penalized Cox models and Frailty

A very general mechanism for penalized regression has been added to the coxph function in S Plus A user written S Plus function can be supplied that gives addi tional term s to the partial likelihood along with the rst and second derivatives of those terms The variance and degrees of freedom for the extended model are then computed as outlined in Gray Several other arguments control optional as...

Reply to Ricciotti et al.: Evidence for vascular COX isoforms.

Selection of effects in Cox frailty models by regularization methods.

In all sorts of regression problems, it has become more and more important to deal with high-dimensional data with lots of potentially influential covariates. A possible solution is to apply estimation methods that aim at the detection of the relevant effect structure by using penalization methods. In this article, the effect structure in the Cox frailty model, which is the most widely used mod...