The SAS System 1 The LOGISTIC Procedure Model Information Data Set WORK.TEMP Response Variable outcome Number of Response Levels 2 Model binary logit Optimization Technique Fisher's scoring Number of Observations Read 40 Number of Observations Used 40 Response Profile Ordered Total Value outcome Frequency 1 1 30 2 0 10 Probability modeled is outcome=1. Model Convergence Status Quasi-complete separation of data points detected. WARNING: The maximum likelihood estimate may not exist. WARNING: The LOGISTIC procedure continues in spite of the above warning. Results shown are based on the last maximum likelihood iteration. Validity of the model fit is questionable. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 46.987 31.726 SC 48.676 35.104 -2 Log L 44.987 27.726 The SAS System 2 The LOGISTIC Procedure WARNING: The validity of the model fit is questionable. Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 17.2609 1 <.0001 Score 13.3333 1 0.0003 Wald 0.0047 1 0.9452 Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 -336E-19 0.4472 0.0000 1.0000 pred 1 13.5661 197.4 0.0047 0.9452 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits pred >999.999 <0.001 >999.999 Association of Predicted Probabilities and Observed Responses Percent Concordant 66.7 Somers' D 0.667 Percent Discordant 0.0 Gamma 1.000 Percent Tied 33.3 Tau-a 0.256 Pairs 300 c 0.833 Profile Likelihood Confidence Interval for Odds Ratios Effect Unit Estimate 95% Confidence Limits pred 1.0000 >999.999 8.360 . Wald Confidence Interval for Odds Ratios Effect Unit Estimate 95% Confidence Limits pred 1.0000 >999.999 <0.001 >999.999 The SAS System 3 The LOGISTIC Procedure Model Information Data Set WORK.TEMP Response Variable outcome Number of Response Levels 2 Model binary logit Optimization Technique Fisher's scoring Likelihood Penalty Firth's bias correction Number of Observations Read 40 Number of Observations Used 40 Response Profile Ordered Total Value outcome Frequency 1 1 30 2 0 10 Probability modeled is outcome=1. Intercept-Only Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Convergence Status Convergence criterion (GCONV=1E-8) satisfied. Model Fit Statistics Intercept Intercept and Criterion Only Covariates AIC 44.312 31.846 SC 46.001 35.224 -2 Log L 42.312 27.846 The SAS System 4 The LOGISTIC Procedure Testing Global Null Hypothesis: BETA=0 Test Chi-Square DF Pr > ChiSq Likelihood Ratio 14.4655 1 0.0001 Score 12.9325 1 0.0003 Wald 5.8644 1 0.0154 Analysis of Maximum Likelihood Estimates Standard Wald Parameter DF Estimate Error Chi-Square Pr > ChiSq Intercept 1 0.000040 0.4472 0.0000 0.9999 pred 1 3.7139 1.5336 5.8644 0.0154 Odds Ratio Estimates Point 95% Wald Effect Estimate Confidence Limits pred 41.014 2.030 828.636 Association of Predicted Probabilities and Observed Responses Percent Concordant 66.7 Somers' D 0.667 Percent Discordant 0.0 Gamma 1.000 Percent Tied 33.3 Tau-a 0.256 Pairs 300 c 0.833 Profile Likelihood Confidence Interval for Parameters Parameter Estimate 95% Confidence Limits Intercept 0.000040 -0.8685 0.8685 pred 3.7139 1.5041 8.6063 Profile Likelihood Confidence Interval for Odds Ratios Effect Unit Estimate 95% Confidence Limits pred 1.0000 41.014 4.500 >999.999 The SAS System 5 The LOGISTIC Procedure Wald Confidence Interval for Odds Ratios Effect Unit Estimate 95% Confidence Limits pred 1.0000 41.014 2.030 828.636 The SAS System 6 The LOGISTIC Procedure Model Information Data Set WORK.TEMP Response Variable outcome Number of Response Levels 2 Model binary logit Number of Observations Read 40 Number of Observations Used 40 Response Profile Ordered Total Value outcome Frequency 1 1 30 2 0 10 Probability modeled is outcome=1. Exact Conditional Analysis Conditional Exact Tests --- p-Value --- Effect Test Statistic Exact Mid pred Score 13.0000 0.0004 0.0003 Probability 0.000218 0.0004 0.0003 Exact Odds Ratios 95% Confidence Parameter Estimate Limits p-Value pred 24.375* 3.429 Infinity 0.0004 NOTE: * indicates a median unbiased estimate.