The SAS System 1 Parametric Log-normal Model for First Gap Time ---------------------------------------------- The LIFEREG Procedure Model Information Data Set WORK.RHDNASE1 Dependent Variable Log(gtime) Censoring Variable status Censoring Value(s) 0 Number of Observations 645 Noncensored Values 243 Right Censored Values 402 Left Censored Values 0 Interval Censored Values 0 Name of Distribution Lognormal Log Likelihood -643.247526 Number of Observations Read 645 Number of Observations Used 645 Algorithm converged. Type III Analysis of Effects Wald Effect DF Chi-Square Pr > ChiSq trt 1 9.8417 0.0017 fevc 1 55.7974 <.0001 Analysis of Parameter Estimates Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 5.4030 0.1048 5.1975 5.6085 2655.71 <.0001 trt 1 0.4302 0.1371 0.1614 0.6990 9.84 0.0017 fevc 1 0.0217 0.0029 0.0160 0.0273 55.80 <.0001 Scale 1 1.4460 0.0740 1.3080 1.5985 ^LThe SAS System 2 Parametric Log-normal Model for Second Gap Time ----------------------------------------------- The LIFEREG Procedure Model Information Data Set WORK.RHDNASE2 Dependent Variable Log(gtime) Censoring Variable status Censoring Value(s) 0 Number of Observations 227 Noncensored Values 81 Right Censored Values 146 Left Censored Values 0 Interval Censored Values 0 Name of Distribution Lognormal Log Likelihood -194.5121106 Number of Observations Read 227 Number of Observations Used 227 Algorithm converged. Type III Analysis of Effects Wald Effect DF Chi-Square Pr > ChiSq trt 1 1.1591 0.2817 fevc 1 0.9314 0.3345 lgtime1 1 9.9683 0.0016 Analysis of Parameter Estimates Standard 95% Confidence Chi- Parameter DF Estimate Error Limits Square Pr > ChiSq Intercept 1 3.2090 0.4867 2.2550 4.1629 43.47 <.0001 trt 1 -0.2266 0.2105 -0.6390 0.1859 1.16 0.2817 fevc 1 -0.0045 0.0047 -0.0138 0.0047 0.93 0.3345 lgtime1 1 0.4173 0.1322 0.1582 0.6764 9.97 0.0016 Scale 1 1.2283 0.1056 1.0379 1.4536