The abstract makes it sound like Bayes factors are a solution, but whether you are averaging surely depends on the model you are using, not whether you use a Bayes factor?
One thing I really like about the paper is that it provides nice concrete example of addressing issues of "power" in a Bayesian framework, and avoiding the power fallacy. https://t.co/j5tbGR513C 3/3
One for you statisticians out there: A Power Fallacy https://t.co/yQywLPeeiW
RT @DanielGucciardi: Power fallacy - do we dismiss results from low-power studies or accept results from high-power exp https://t.co/qhBd8H…
RT @DanielGucciardi: Power fallacy - do we dismiss results from low-power studies or accept results from high-power exp https://t.co/qhBd8H…
RT @DanielGucciardi: Power fallacy - do we dismiss results from low-power studies or accept results from high-power exp https://t.co/qhBd8H…
Power fallacy - do we dismiss results from low-power studies or accept results from high-power exp https://t.co/qhBd8H5La8 by @EJWagenmakers
A power fallacy https://t.co/pIVbdD2y55 by @EJWagenmakers et al.
A very helpful paper demonstrating: A - #Bayesian analysis is useless B - Bayesians believe in the paranormal http://t.co/9OfQeYCqZy
http://t.co/DlJbqk8T2q "power fallacy" ??? A misleading article about statistical power. It is like saying reducing sampling error is bad.
検出力が高い実験は役立たずで、検出力が低い実験が有益な場合もあるようだ。A power fallacy http://t.co/3UiGXiLbyd
検出力が高い実験は役立たずで、検出力が低い実験が有益な場合もあるようだ。A power fallacy http://t.co/3UiGXiLbyd
Wagenmakers et al. (in press). A power fallacy http://t.co/kbev32NMah
"A power fallacy": good reading for the stats wonks among us http://t.co/ComJwkbMy4
"A power fallacy" ... a high-power experiment can be completely uninformative http://t.co/OYqxi5hSnL