Is penalized logistic regression only appropriate when the likelihood of the outcome is very low, or when the number of variables exceeds the number of observations?

Wondering if it can be a tool to use generally in order to shrink variables that "contribute" less to the observed effect in epidemiology.



Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.