A Nonrecursive Estimator for the Cox Model
Copyright policy )A Nonrecursive Estimator for the Cox Model
AbstractThe Cox regression model is one of the most widely used models to incorporate covariates. The frequently used partial likelihood estimator of the regression parameter has to be computed iteratively. In this paper we propose a noniterative estimator for the regression parameter and show that under certain conditions it dominates another noniterative estimator derived by Kalbfleish and Prentice. The new estimator is demonstrated on lifetime data of rats having been subject to insult with a carcinogen.
carcinogen, proportional hazard, lifetime data of rats, Point estimation, Cox regression model, noniterative estimator, censored data, partial likelihood estimator, covariates, Applications of statistics to biology and medical sciences; meta analysis, competing risks
carcinogen, proportional hazard, lifetime data of rats, Point estimation, Cox regression model, noniterative estimator, censored data, partial likelihood estimator, covariates, Applications of statistics to biology and medical sciences; meta analysis, competing risks
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