The power is based upon an assumed advantage, but for the same drug and same trial, the true power (not of achieving the target advantage, but of achieving statistical significance) is always higher, bank on it. Therefore figure maybe 0.95*0.95 = 0.90 approx
??????????????????????????????????? Biotechs historically overestimate their true efficacy - and therefore the power of the trial. The number of failed ph iii trials which are on the right side of p=1.0 is a LOT more than those on the wrong side of 1.0.
I think 0.99 because this only happens in cancer trials, and it's due to doctors ignoring protocols to help certain patients. Well why I dont know, but does anyone have evidence of a foreign screw-up* in something non-life-threatening ?
If you are talking about Eastern Europe it is all trials. See CORT for example.
Clark