Dear all, May I ask is there any functions in R to evaluate the fitness of "coxph" and "survreg" in survival analysis, please?
For example, the results from Cox regression and Parametric survival analysis are shown below. Which method is prefered and how to see that / how to compare the methods? 1. coxph(formula = y ~ pspline(x1, df = 2)) coef se(coef) se2 Chisq DF p pspline(x1, df = 2), line 0.0522 0.00867 0.00866 36.23 1.00 1.8e-09 pspline(x1, df = 2), nonl 3.27 1.04 7.5e-02 Iterations: 4 outer, 13 Newton-Raphson Theta= 0.91 Degrees of freedom for terms= 2 Likelihood ratio test=34.6 on 2.04 df, p=3.24e-08 2. survreg(formula = y ~ pspline(x1, df = 2)) coef se(coef) se2 Chisq DF p (Intercept) 2.8199 0.15980 0.09933 311.37 1.0 0.0e+00 pspline(x1, df = 2), line -0.0193 0.00248 0.00248 60.35 1.0 8.0e-15 pspline(x1, df = 2), nonl 1.43 1.1 2.6e-01 Scale= 0.304 Iterations: 6 outer, 20 Newton-Raphson Theta= 0.991 Degrees of freedom for terms= 0.4 2.1 1.0 Likelihood ratio test=48.2 on 1.5 df, p=1.18e-11 I really appreciate for your help. Thank you very much in advance. Best wishes, He [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.