The SAS System The LOGISTIC Procedure Model Information Data Set WORK.ASSAY Response Variable (Events) y Response Variable (Trials) n Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 9 Number of Observations Used 9 Sum of Frequencies Read 266 Sum of Frequencies Used 266 Response Profile Ordered Binary Total Value Outcome Frequency 1 Event 172 2 Nonevent 94 Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Deviance and Pearson Goodness-of-Fit Statistics Criterion Value DF Value/DF Pr > ChiSq Deviance 29.3462 7 4.1923 0.0001 Pearson 28.5630 7 4.0804 0.0002 Number of events/trials observations: 9 Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 347.543 295.258 SC 351.126 302.425 -2 Log L 345.543 291.258 The SAS System The LOGISTIC Procedure Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 54.2849 1 <.0001 Score 51.6619 1 <.0001 Wald 44.9521 1 <.0001 Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 -15.8331 2.4371 42.2072 <.0001 logconc 1 5.5776 0.8319 44.9521 <.0001 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits logconc 264.425 51.784 >999.999 Association of Predicted Probabilities and Observed Responses Percent Concordant 70.6 Somers' D 0.492 Percent Discordant 21.4 Gamma 0.535 Percent Tied 8.0 Tau-a 0.226 Pairs 16168 c 0.746 Empirical logits versus x The LOGISTIC Procedure Model Information Data Set WORK.ASSAY Response Variable (Events) y Response Variable (Trials) n Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 9 Number of Observations Used 9 Sum of Frequencies Read 266 Sum of Frequencies Used 266 Response Profile Ordered Binary Total Value Outcome Frequency 1 Event 172 2 Nonevent 94 Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Deviance and Pearson Goodness-of-Fit Statistics Criterion Value DF Value/DF Pr > ChiSq Deviance 29.3462 7 4.1923 0.0001 Pearson 28.5630 7 4.0804 0.0002 Number of events/trials observations: 9 NOTE: The covariance matrix has been multiplied by the heterogeneity factor (Pearson Chi-Square / DF) 4.08043. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 86.683 75.379 SC 90.266 82.546 -2 Log L 84.683 71.379 Empirical logits versus x The LOGISTIC Procedure Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 13.3037 1 0.0003 Score 12.6609 1 0.0004 Wald 11.0165 1 0.0009 Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 -15.8331 4.9230 10.3438 0.0013 logconc 1 5.5776 1.6804 11.0165 0.0009 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits logconc 264.425 9.816 >999.999 Association of Predicted Probabilities and Observed Responses Percent Concordant 70.6 Somers' D 0.492 Percent Discordant 21.4 Gamma 0.535 Percent Tied 8.0 Tau-a 0.226 Pairs 16168 c 0.746 Classification Table Correct Incorrect Percentages Prob Non- Non- Sensi- Speci- False False Level Event Event Event Event Correct tivity ficity POS NEG 0.280 172 0 94 0 64.7 100.0 0.0 35.3 . 0.300 162 21 73 10 68.8 94.2 22.3 31.1 32.3 0.320 162 21 73 10 68.8 94.2 22.3 31.1 32.3 0.340 162 21 73 10 68.8 94.2 22.3 31.1 32.3 0.360 162 21 73 10 68.8 94.2 22.3 31.1 32.3 0.380 162 21 73 10 68.8 94.2 22.3 31.1 32.3 0.400 145 34 60 27 67.3 84.3 36.2 29.3 44.3 0.420 145 34 60 27 67.3 84.3 36.2 29.3 44.3 0.440 145 34 60 27 67.3 84.3 36.2 29.3 44.3 0.460 145 34 60 27 67.3 84.3 36.2 29.3 44.3 0.480 133 53 41 39 69.9 77.3 56.4 23.6 42.4 0.500 133 53 41 39 69.9 77.3 56.4 23.6 42.4 0.520 133 53 41 39 69.9 77.3 56.4 23.6 42.4 0.540 133 53 41 39 69.9 77.3 56.4 23.6 42.4 0.560 133 53 41 39 69.9 77.3 56.4 23.6 42.4 0.580 133 53 41 39 69.9 77.3 56.4 23.6 42.4 0.600 126 73 21 46 74.8 73.3 77.7 14.3 38.7 0.620 126 73 21 46 74.8 73.3 77.7 14.3 38.7 0.640 126 73 21 46 74.8 73.3 77.7 14.3 38.7 0.660 126 73 21 46 74.8 73.3 77.7 14.3 38.7 0.680 126 73 21 46 74.8 73.3 77.7 14.3 38.7 0.700 126 73 21 46 74.8 73.3 77.7 14.3 38.7 0.720 126 73 21 46 74.8 73.3 77.7 14.3 38.7 0.740 103 76 18 69 67.3 59.9 80.9 14.9 47.6 0.760 81 84 10 91 62.0 47.1 89.4 11.0 52.0 The SAS System The LOGISTIC Procedure Classification Table Correct Incorrect Percentages Prob Non- Non- Sensi- Speci- False False Level Event Event Event Event Correct tivity ficity POS NEG 0.780 81 84 10 91 62.0 47.1 89.4 11.0 52.0 0.800 81 84 10 91 62.0 47.1 89.4 11.0 52.0 0.820 81 84 10 91 62.0 47.1 89.4 11.0 52.0 0.840 52 84 10 120 51.1 30.2 89.4 16.1 58.8 0.860 52 86 8 120 51.9 30.2 91.5 13.3 58.3 0.880 52 86 8 120 51.9 30.2 91.5 13.3 58.3 0.900 0 94 0 172 35.3 0.0 100.0 . 64.7