#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

osf.io/preprints/ps...

#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

osf.io/preprints/ps...

Conditional equivalence testing: An alternative remedy for publication bias We introduce a publication policy that incorporates “conditional equivalence testing” (CET), a two-stage testing scheme in which standard NHST is followed conditionally by testing for equivalence. The...

#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

journals.plos.org/plosone/arti...

#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

jasp-stats.org/2020/06/02/f...

ROPE sensitivity to scales? · Issue #144 · easystats/bayestestR From ROPE article: However, keep in mind that unlike indices of effect existence (such as the pd), indices of effect size, such as the ROPE percentage, depend on the unit of its parameter, and can ...

#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.

#ROPE #equivalencetests #signficance #parameters #r

github.com/easystats/ba...

Four one-sided test of significance (FOST). Dear reader, does this make sense? | Peder M. Isager Personal website of Dr. Peder M. Isager

#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

#NHST #TOST #equivalencetests

pedermisager.org/blog/four-on...

Equivalence Tests with {marginaleffects} Reproducing the Clark and Golder (2006) example from Rainey (2014)

#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

www.carlislerainey.com/blog/2023-08...

Mixed model equivalence test using R and PANGEA | Peder M. Isager Personal website of Dr. Peder M. Isager

#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

pedermisager.org/blog/mixed_m...

48616 - Design and analysis of noninferiority studies Equivalence testing is introduced and PROC POWER is illustrated for determining sample size for noninferiority studies. Noninferiority tests for proportions and means are conducted using PROC FREQ an...

#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.

#noninferiority #equivalencetests #nhst #testing

support.sas.com/kb/48/616.html

What to do with "null" results - Part II: Nonsignificant but with sufficient data [Originally features on my stats blog - Figuring Stuff Out - 14 Jan 202]

Continuing my migration to #Substack, just posted my Part II of what to do with Null results:

#stats #NHST #TOST #EquivalenceTests
open.substack.com/pub/mzlotean...