Sampling weights vs offset method for adjusting for prior probabilities

[pvareschi]

Re: "Lesson 2: Fitting the Model -> Understanding the Offset" (Module "Predictive Modeling Using Logistic Regression")

Would it be possible to clarify which method between offset and sampling weights is better?

The above lesson seems to imply that offset is better, however, Appendix B1 (Sampling Weights) of the course notes, hints at the fact that in certain circumstances sampling weights may provide an advantage.

As an aside, the Enterprise Miner Reference Help (p.189) strongly advises against using sampling weights for predictive modelling.

[gcjfernandez]

In case of logistic regression and adjusting for prior probabilities due to separate sampling, I would recommend weights over using offset.
Using offset is appropriate for count variable regression or modeling rate like in Proc Genmod.