Conditions on the hazard functions under the usual log-rank test remains locally optimal for the Cox regression model under random censoring (withdrawal) are examined. In the light of these, the asymptotic efficiency results pertaining to the Cox partial likelihood statistic and the log-rank ...
Bias correction in the Cox regression model. J. Statist. Computat. & Simul. 74(5):379-386.Montenegro, L. C. C.; Colosimo, E. A.; Cordeiro, G. M.; Cruz, F. R. B. Bias correction in the Cox regression model. J. Stat. Comput. Simulat., 2003 (forthcoming)....
"This book models survival data, mainly in terms of the Cox regression model and its extensions … . The text is fluently written in the style of a medium-level oral presentation which makes the book well readable and its contents well understandable … . Difficult theoretical concepts are expl...
followed by diabetes (8.2%), cardiovascular disease (3.7%), cerebrovascular disease (1.9%), COPD (1.5%) and malignancy (1.1%). In the Cox regression model, after adjustment for age and smoking status, the independent risk factors associated with ...
This paper presents a new class of graphical and numerical methods for checking the adequacy of the Cox regression model. The procedures are derived from cumulative sums of martingale-based residuals over follow-up time and/or covariate values. The distributions of these stochastic processes under th...
(2) Exponentiate the two limits obtained for the confidence interval for the regression coefficient of Rx. Then, we can focus on model 1, which is called crude model, finding that the HR for model 1 is higher than HR for model 2 and we can say that the crude versus adjusted \hat{HR...
The accelerated failure time model: a useful alternative to the Cox regression model in survival analysis. For the past two decades the Cox proportional hazards model has been used extensively to examine the covariate effects on the hazard function for the failu... LJ Wei - 《Statistics in Medi...
The Cox proportional-hazards regression model has achieved widespread use in the analysis of time-to-event data with censoring and covariates. The covariates may change their values over time. This article discusses the use of such time-dependent covariates, which offer additional opportunities but mu...
11. Simple Logistic Regression Accounting for Uncertainty in the Estimates 9 -- 23:48 App 16. Simple Cox Regression with a Continuous Predictor 21 -- 17:35 App 15. Simple Cox Regression with a Binary (or Categorical) Predic 14 -- 17:19 App 14. Simple Cox Regression An Overview 21 ...
The general hazard function form for the stratified Cox model is shown in figure 7. To summarize, the features of different survival curves, the condition for no-interaction assumption, as well as the estimates of the regression coefficients using (Partial) Likelihood Function are the same as the...