Logistic Regression: A Self-learning Text, Third Edition (Statistics in the Health Sciences)

Response Profile

Ordered

Value Outcome

Total

Frequency

1164

2 0 1139

PROC GENMOD is modeling the probability that outcome¼‘ 1 ’.

Criteria for Assessing Goodness of Fit

Criterion DF Value Value/DF

Deviance 1199 490.0523 0.4087

Scaled Deviance 1199 490.0523 0.4087

Pearson Chi-Square 1199 1182.7485 0.9864

Criteria for Assessing Goodness of Fit

Criterion DF Value Value/DF

Scaled Pearson X2 1199 1182.7485 0.9864

Log Likelihood 245.0262

Algorithm converged.

Analysis of Initial Parameter Estimates

Parameter DF Estimate

Standard

Error

Wald 95%

Confidence Limits

Chi-

Square

Pr>

ChiSq

Intercept 1 1.4362 0.6022 2.6165 0.2559 5.69 0.0171
BIRTHWGT 1 0.0005 0.0002 0.0008 0.0001 7.84 0.0051
GENDER 1 0.0453 0.2757 0.5857 0.4950 0.03 0.8694
DIARRHEA 1 0.7764 0.4538 0.1129 1.6658 2.93 0.0871
Scale 0 1.0000 0.0000 1.0000 1.0000

NOTE: The scale parameter was held fixed.

GEE Model Information

Correlation Structure AR(1)

Within-Subject Effect MONTH (9 levels)

Subject Effect IDNO (168 levels)

Number of Clusters 168

Clusters With Missing Values 32

Correlation Matrix Dimension 9

Maximum Cluster Size 9

Minimum Cluster Size 0

Algorithm converged.

624 Appendix: Computer Programs for Logistic Regression