… be analyzed with the Cox regression model to estimate its effect on survival time. For this
it … of the Cox regression model does not hold, we say that the effect of the covariate is time-…

… is welldefined in ordinary linear regression, but less straightforward in Cox regression. Some
software produce dfbeta residual’s that show the change in regression coefficients if an ob…

… The purpose of this article is to explain the basic concepts of Cox regression analysis and
its application to clinical research by providing a series of examples derived from the literature. …

… , the time-scale used in Cox regression models is time-on-… as the time-scale, where subjects
enter the analysis at their … five methods using time-on-study and age as the time-scales. We …

… The final model from a Cox regression analysis yields an equation for the … Cox regression
model involves examining the coefficients for each explanatory variable. A positive regression …

… Cox(2) proposed a model in which the effectof the covariates is to multiply the hazard function
… called either the Cox regression model or theproportional-hazards regression model. It is …

… models have been developed using Cox regression analysis. 1-5 They are all so-called
time-fixed models … time during the course of the disease (usually the time of diagnosis or the …

… have presented a new Cox model with smooth changes in the influence of some covariates.
We have shown, that the estimators of the change-points and the regression estimators are …

… Cox model for independent and identically distributed right censored survival times, with a
change… We prove that the estimator of the change-point is n-consistent and the estimator of the …

… The time-dependent prognostic model was superior to the time-… In conclusion, a time-dependent
Cox regression model has the … time-fixed models. (HEPATOLOGY 2002;35:652-657.) …