Hi Terry and Kevin,  Thanks for your replies to my post. And thanks particularly to Terry for pointing out my confusion about the "exact partial likelihood" vs. the "exact marginal likelihood." I'm learning and so am likely to be confused about such things from time to time.  I had thought that a good way to see if I was replicating the results would be to use the Efron approximation in both R and SAS. I tried this just now and obtained a similar pattern of differences in the results. Please bear with me. I hope I'm not doing something silly.  Below are my results in each program. I got the results for R simply by running the code I sent earlier. I got the results in SAS by changing TIES = EXACT to TIES = EFRON.  Should I be getting results as different as these? Or does this suggest that there is some problem in how I've set up my data in R? I've looked over my data In R and everything looks fine, but maybe I've missed something.  Thanks,  Paul  > summary(model) Call: coxph(formula = Surv(START, STOP, STATUS) ~ TRT + DENS + INFCTN,    data = vitclear)  n= 167          coef exp(coef) se(coef)     z Pr(>|z|) TRT    0.2913   1.3382  0.1782 1.635   0.102 DENS  -0.1762   0.8384  0.1739 -1.013   0.311 INFCTN 0.1192   1.1266  0.1912 0.624   0.533       exp(coef) exp(-coef) lower .95 upper .95 TRT      1.3382    0.7473   0.9436    1.898 DENS     0.8384    1.1927   0.5963    1.179 INFCTN   1.1266    0.8876   0.7746    1.639 Rsquare= 0.024  (max possible= 0.999 ) Likelihood ratio test= 4.12 on 3 df,  p=0.2486 Wald test           = 4.12 on 3 df,  p=0.2485 Score (logrank) test = 4.15 on 3 df,  p=0.2460   Cox Proportional Hazards Model 09:01 Friday, April 1, 2011 1 Example 22.2: Hyalurise in Vitreous Hemorrhage The PHREG Procedure Model Information Data Set WORK.VITCLEAR Dependent Variable RSPTIM Censoring Variable CENS Censoring Value(s) 0 Ties Handling EFRON ã Number of Observations Read 143 Number of Observations Used 143 ã Summary of the Number of Event and Censored Values Percent Stratum CENTER Total Event Censored Censored 1 A 60 45 15 25.00 2 B 37 30 7 18.92 3 C 46 39 7 15.22 ------------------------------------------------------------------- Total 143 114 29 20.28 ã Convergence Status Convergence criterion (GCONV=1E-8) satisfied. ã ã ã Cox Proportional Hazards Model 09:01 Friday, April 1, 2011 2 Example 22.2: Hyalurise in Vitreous Hemorrhage The PHREG Procedure Model Fit Statistics Without With Criterion Covariates Covariates -2 LOG L 711.142 706.171 AIC 711.142 712.171 SBC 711.142 720.379 ã Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 4.9712 3 0.1739 Score 4.9604 3 0.1747 Wald 4.9151 3 0.1781 ã Analysis of Maximum Likelihood Estimates Parameter Standard Hazard Parameter DF Estimate Error Chi-Square Pr > ChiSq Ratio TRT 1 0.34437 0.19562 3.0988 0.0783 1.411 DENS 1 -0.23832 0.19585 1.4807 0.2237 0.788 INFCTN 1 0.12819 0.27780 0.2129 0.6445 1.137 ã  [[alternative HTML version deleted]]
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