Hello, Please can someone help me with find a way to compare these two nested logistic regression models using partial likelihood ratio test?
Proc Logistic Data=Project_C;
Model Dem (event='1') = VEP TIF Income NonCit Unemployed Swing;
Run;
and
Proc Logistic Data=Project_C;
Model Dem (Event='1') = VEP TIF Income;
Run;
Model Evaluation is a very vast topic and can not be covered in a blog post.
Logistic models are generally compared / selected on the basis of confusion matrix.
You will have to build a confusion matrix comprising of TRUE NEGATIVE, FALSE NEGATIVE, TRUE POSITIVITY and FALSE POSITIVE.
That's the starting point. for you. With no data available that's all I can help you with
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