The SAS System 11:23 Saturday, October 21, 2000 1 The LOGISTIC Procedure Model Information Data Set WORK.DOSE Response Variable (Events) Deaths Response Variable (Trials) Total Number of Observations 6 Link Function Logit Optimization Technique Fisher's scoring Response Profile Ordered Binary Total Value Outcome Frequency 1 Event 3 2 Nonevent 15 Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 18.220 12.072 SC 19.111 13.853 -2 Log L 16.220 8.072 Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 8.1478 1 0.0043 Score 5.7943 1 0.0161 Wald 2.7249 1 0.0988 The SAS System 11:23 Saturday, October 21, 2000 2 The LOGISTIC Procedure Analysis of Maximum Likelihood Estimates Standard Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 -9.4745 5.5677 2.8958 0.0888 Dose 1 2.0804 1.2603 2.7249 0.0988 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits Dose 8.007 0.677 94.679 Association of Predicted Probabilities and Observed Responses Percent Concordant 88.9 Somers' D 0.867 Percent Discordant 2.2 Gamma 0.951 Percent Tied 8.9 Tau-a 0.255 Pairs 45 c 0.933 The SAS System 11:23 Saturday, October 21, 2000 3 The LOGISTIC Procedure Exact Conditional Analysis Conditional Exact Tests --- p-Value --- Effect Test Statistic Exact Mid Dose Score 5.4724 0.0245 0.0190 Probability 0.0110 0.0245 0.0190 Exact Parameter Estimates 95% Confidence Parameter Estimate Limits p-Value Dose 1.7999 0.1157 5.8665 0.0245 Exact Odds Ratios 95% Confidence Parameter Estimate Limits p-Value Dose 6.049 1.123 353.000 0.0245