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
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