The regular maximum partial likelihood estimator is biased when the covariates in the Cox proportional hazards model are measured with error, unless the measurement errors tend to zero. Although several alternative estimators have been proposed, theoretical justifications for them are lacking. We try to fill this gap by showing that the corrected maximum partial likelihood estimator proposed by...

We introduce the R package CPHshape, which computes the effect parameters and the nonparametric maximum likelihood estimator of a shape constrained baseline hazard in the Cox proportional hazards model. The functionality of the package is illustrated using reproducible examples which are based on simulated data.

Methods We retrospectively evaluated 140 consecutive patients with NICM who underwent delayed hyperenhancement cardiac MRI between 2002 and 2009. A Cox proportional hazards model was used to evaluate the association between RVEF and the composite outcome of death, left ventricular assist device implantation, or heart transplantation. Predictors of RVEF were evaluated using a multivariable linea...

background: although the cox proportional hazard regression is the most popular model for analyzing the prognostic factors on survival of cancer patients, under certain circumstances, parametric models estimate the parameter more efficiently than the cox model.  the aim of this study was to compare the cox regression model  with parametric models in patients with gastric cancer who registered a...

A SAS macro to extend the Cox proportional hazards regression model to allow for positive stable frailties is presented. This macro computes, using a modi ed EM algorithm, estimates of the model parameters and their respective standard errors. The likelihood ratio test of the independence assumption is also provided. An example data set is used to illustrate the macro.

Survival models for life-time data and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, engineering etc., but they have still found less recognition in economics, however they are very helpful in the analysis of economic duration data. This paper provides a reanalysis of the Pennsylvania Reemployment Bonus Experiments, which were conducted...