#statstab #327 Effect Sizes for Equivalence Testing: Incorporating the Equivalence Interval
Thoughts: Not sure what value this approach has yet, but sharing for feedback.
#equivalencetests #sesoi #nhst #noeffect #nonsignificant #practicalsignificance
#statstab #238 Bridging null hypothesis testing and estimation
Thoughts: An overview of the ways you can claim "no effect" under a bayesian framework.
#bayesian #bayesfactors #nullresults #noeffect #equivalencetests #equivalence #jasp #r
#statstab #233 Conditional equivalence testing (CET rule)
Thoughts: Many might not know that there are several decision rules for equivalence test. This one is slightly different from TOST classic.
#equivalencetests #equivalence #rules #nhst
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0195145
We introduce a publication policy that incorporates βconditional equivalence testingβ (CET), a two-stage testing scheme in which standard NHST is followed conditionally by testing for equivalence. The idea of CET is carefully considered as it has the potential to address recent concerns about reproducibility and the limited publication of null results. In this paper we detail the implementation of CET, investigate similarities with a Bayesian testing scheme, and outline the basis for how a scientific journal could proceed to reduce publication bias while remaining relevant.
#statstab #232 Bayesian Interval-Null Testing
Thoughts: @JASPStats has a module for Equivalence Tests that include Bayesian Overlapping and Non-Overlapping Hypothesis Testing.
#equivalencetests #bayesfactors #jasp #noeffect #bayes
https://jasp-stats.org/2020/06/02/frequentist-and-bayesian-equivalence-testing-in-jasp/
This post demonstrates the Equivalence Testing Module, new in JASP 0.12. In traditional hypothesis testing, both frequentist and Bayesian, the null hypothesis is often specified as a point (i.e., there is no effect whatsoever in the population). Consequently, in veryβ¦ Continue reading β
#statstab #222 ROPE sensitivity to scales
Thoughts: Insightful github thread on setting ROPE ranges for equivalence tests, & scaled / standardized predictors. PSA: make sure your model makes sense.
#statstab #215 Four one-sided test of significance (FOST)
Thoughts: If you liked the "two one-sided t-tests" you'll love four! 2x the fun and inference. Superiority+equivalence+inferiority
#statstab #205 Equivalence Tests Using {marginaleffects}
Thoughts: Easily testing for "no effect" is important. Here's a tutorial by @carlislerainey using @VincentAB r pkg.
#equivalencetests #equivalence #TOST #marginaleffects #tutorial #nullresults #r
https://www.carlislerainey.com/blog/2023-08-18-equivalence-tests/
#statstab #199 Mixed model equivalence test using R and PANGEA
Thoughts: While there are easier ways to compute #EQ tests for such models now, it is nice to see how you'd do so manually.
#equivalencetests #NHST #mixedeffects #r #stats #nullresults
#statstab #194 Design and analysis of noninferiority studies
Thoughts: Sometimes all you want to know is "is this new thing not worse than the previous one?". Enter noninferiority tests.
Continuing my migration to #Substack, just posted my Part II of what to do with Null results:
Dr Mircea Zloteanu πΊππ
