Following SAS program and its output are for the question #3: SAS program: proc phreg; model st*censor(0) = thick ulcer age type / covb rl; ***************************************************************************** part of the output from above SAS program: The PHREG Procedure explanatory variables: THICK ULCER AGE TYPE Model Fit Statistics Without With Criterion Covariates Covariates -2 LOG L 903.925 821.457 AIC 903.925 829.457 SBC 903.925 838.564 Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 82.4674 4 <.0001 Score 130.3918 4 <.0001 Wald 98.1662 4 <.0001 Analysis of Maximum Likelihood Estimates Parameter Standard Variable DF Estimate Error Chi-Square Pr > ChiSq THICK 1 0.12888 0.04379 8.6619 0.0032 ULCER 1 1.10409 0.27018 16.6993 <.0001 AGE 1 0.02062 0.00802 6.6175 0.0101 TYPE 1 0.83074 0.28560 8.4611 0.0036 Analysis of Maximum Likelihood Estimates Hazard 95% Hazard Ratio Variable Ratio Confidence Limits THICK 1.138 1.044 1.240 ULCER 3.016 1.776 5.122 AGE 1.021 1.005 1.037 TYPE 2.295 1.311 4.017 Estimated Covariance Matrix Variable THICK ULCER AGE TYPE THICK 0.0019177055 -.0027431829 0.0000171530 -.0049018142 ULCER -.0027431829 0.0729984038 -.0001830434 -.0222205262 AGE 0.0000171530 -.0001830434 0.0000642797 -.0002209715 TYPE -.0049018142 -.0222205262 -.0002209715 0.0815646677