I ran the numbers to determine the power; turns out that they couldn’t have reliably noticed the effects of smoking (hazard ratio ~2) on longevity with a study of ~70 monkeys, and while I haven’t seen many quoted estimates of the hazard ratio of eating normally compared to CR, I don’t think there are many people that put them higher than 2.
If I remember correctly, I noticed an effect that did give a p of slightly less than .05 was a hazard ratio of 3, which made me think of running that test, and then I think spower was the r function that I used to figure out what p they could get for a hazard ratio of 2 and 35 experimentals and 35 controls (or whatever the actual split was- I think it was slightly different?).
So you were using Hmisc::spower… I’m surprised that there was even such a function (however obtusely named) - why on earth isn’t it in the survival library?
I was going to try to replicate that estimate, but looking at the spower documentation, it’s pretty complex and I don’t think I could do it without the original paper (which is more work than I want to do).
Incidentally, how did you do that?
If I remember correctly, I noticed an effect that did give a p of slightly less than .05 was a hazard ratio of 3, which made me think of running that test, and then I think spower was the r function that I used to figure out what p they could get for a hazard ratio of 2 and 35 experimentals and 35 controls (or whatever the actual split was- I think it was slightly different?).
So you were using
Hmisc::spower
… I’m surprised that there was even such a function (however obtusely named) - why on earth isn’t it in thesurvival
library?I was going to try to replicate that estimate, but looking at the spower documentation, it’s pretty complex and I don’t think I could do it without the original paper (which is more work than I want to do).