You can peek, but there is a multiple comparisons problem, because of high probability data will be misleading.
-
-
-
Elaborate?
-
If you use a BF > e.g., 3 to conclude there is an effect, you will have a multiple comparison issue.
-
Do you even have to use BFs? Aren't they just something p value fanatics crave regardless of usefulness?
-
Which Bayesian approach did you have in mind? And why would multiple comparisons not be a problem?
-
I'm hoping you can explain your thoughts more to me — here's someth on mult comps, I'm sure you're familiar w/ it: http://www.stat.columbia.edu/~gelman/research/published/multiple2f.pdf …
-
Yes, see http://www.uni-bielefeld.de/lili/personen/jruiter/downloads/statisticsworkshop/Schoenbrodt_Sequential_BF.pdf … by
@nicebread303 . Gelman's solution is close your eye's, go 'lalala' and pretend type 1 errors don't exist -
Really? OK, I'll read.
- 3 more replies
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.

