#statstab #453 {Bayes Power}
A General Application of Power and Sample Size Calculation for the Bayes Factors

Thoughts: Blending frequentist notions of power with bayes hypothesis testing.

#poweranalysis #bayesian #bayesfactor #errorrate #rstats #nhbt

doi.org/10.31234/osf...

The Problem with “Magnitude-based Inference” : Medicine & Science in Sports & Exercise testing for most cases. I have performed a reanalysis to evaluate this claim. Methods Using simulation code provided by MBI’s proponents, I estimated type I and type II error rates for clinical and...

#statstab #370 The Problem with “Magnitude-based Inference”

Thoughts: An appealing but flawed approach. Good overview of the error inflation issue.

#MBI #errorrate #sportsscience #sports #inference #critique

journals.lww.com/acsm-msse/fu...

#statstab #366 Type M error might explain Weisburd’s Paradox

Thoughts: Learn about type M error while you learn about the issues in criminology!

#replication #typeM #typeS #QRPs #paradox #power #effectsize #errorrate

sites.stat.columbia.edu/gelman/resea...

#statstab #360 Bayes Factor Design Analysis {bfda}

Thoughts: Sample size planning is confusing at first with Bayesian. But BFDA is the quick answer.

#bfda #bayesian #bayesfactor #samplesize #power #errorrate

shinyapps.org/apps/BFDA/