You need to compare on both different variables and additionally produce actual error estimates on the comparison. Say, suppose you're measuring successful tre

You need to compare on both different variables and additionally produce actual error estimates on the comparison. Say, suppose you're measuring successful treatments. You would have to both use the count, perhaps signed even (subtracting abject failures such as deaths), cost (financial or number of visits), then verify these numbers with a follow up. See, the definition of success is critical here. OR and NNT are not evaluating side effects negatively, for example. So it may turn out that you're comparing completely different ideas of better instead of matching models.