Not exact matches
Clinically
useful guides, such as the Opioid Risk Tool, offer good
predictive value for physicians.
But using net margin as a metric for stock screening has been shown to not be
useful, while using price / sales HAS
predictive value.
The problem I have with it is its usefulness, as the speaker basically said that if the answer didn't match observations then that just meant the constraints were wrong (or possibly the prior - he did not insist on a uniform one) which implies it doesn't have any practical
predictive value, as there seems no way of knowing which constraints are the right ones other than by checking if the answer looks good... Rumour has it that one of the later speakers may be going to say it is not
useful for our sort of climate research for some reason... it will all be on video at some later date for those who are interested.
If the calibration has any
predictive value, one would expect it to do better than just the sample average over the validation period and, for this reason, CE is a particularly
useful measure.
In the dendro area, models with pitiful R2
values of.15 or.2 are used as if they were
predictive of anything (rather than merely providing some
useful food for thought).