Is there any way to check if my logistic regression is correct?

[beleeve]

I was wondering if there's anyway to check if the equation is correct. I know for linear regression you can check with residuals. Is there something similar for logistic regression?

[PaigeMiller]

I'm not sure what you mean by "correct" or why you need to check. SAS themselves (or is it SAS itself?) does thorough checking of the results of each procedure, so we don't generally have to do that checking. If the data going into your logistic regression is correct, and your code is correct, then I would be happy to assume that the results are correct. So that's what I would check, the data and the code.

[Nathalie1]

The most important thing for logistic regression is to have 5 to 10 events for each explanatory variable.

Example: if you have a variable to explain for N= 54 patients and 3 explanatory variables:

Var1 = numerical age counts as 1

Var2 = processing yes/no counts as 1

Var3 = occupational category (n = 8 ) counts as 7

So you must have: (1+1+7) x 5 = 45 < 54 patients (limit)

(1+1+7) x10=90 < 54 patients (not good at all) You have to think carefully before validating the model.

Hope this can help you.

[Ksharp · Accepted solution]

Correct for what ? Do you mean Goodness of fit for Logistic model ?
Check GOF and LACKFIT option of MODEL in PROC LOGISTIC .
@Rick_SAS wrote a couple of blog about it before.