#statstab #478 Equivalence Tests {marginaleffects}
Thoughts: Often you want to test "no difference" in more complex models than many packages or software permit.
With a few lines of code you can do that for most models.
#Equivalence #noeffect #rstats #TOST #EQ #NHST #hypothesistesting
https://marginaleffects.com/chapters/predictions.html#sec-predictions_visualization
5 Predictions – Model to Meaning

Horses
AI progress is steady. Human equivalence is sudden.
#statstab #417 {pwrss} Practical Power Analysis in R
Thoughts: Some useful vignettes for conducting power analyses for various designs, constraints, and data types.
#poweranalysis #samplesize #r #power #guide #tutorial #sesoi #equivalence #tost #rstats
https://cran.r-project.org/web/packages/pwrss/vignettes/examples.html
Practical Power Analysis in R

Brussels moves to tackle satellite junk in space
New space law dials up oversight amid warnings it’s ‘starting to look like a jungle up there.’
POLITICO
‘Free world needs a new leader’: Europe defends Zelenskyy after Trump attack
France, Germany and Poland all make prompt declarations of support, as Europe fears Trump’s alignment with Putin.
POLITICO
Equality, Resemblance, and Order : Ju. A. Schreider : Free Download, Borrow, and Streaming : Internet Archive
About the bookThis book tells how one may formally describe properties of the well-known relations mentioned in the title.This example is used to clarify the...
Internet Archive#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
https://osf.io/preprints/psyarxiv/c7b45
#statstab #236 Using Bayes to get the most out of non-significant results
Thoughts: A bayesian way to investigate "no effect": Bayes Factors. Cool guide on how to think about priors (post hoc even).
#priors #bayesfactors #nullresults #equivalence #nhbt
https://www.frontiersin.org/journals/psychology/articles/10.3389/fpsyg.2014.00781/full

Frontiers | Using Bayes to get the most out of non-significant results
No scientific conclusion follows automatically from a statistically non-significant result, yet people routinely use non-significant results to guide conclus...
Frontiers#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

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 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 #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/

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