A puzzle of proportions: Two popular Bayesian tests can yield dramatically different conclusions Testing the equality of two proportions is a common procedure in science, especially in medicine and public health. In these domains, it is crucial to be able to quantify evidence for the absence of ...

#statstab #514 A puzzle of proportions

Thoughts: "Two popular Bayesian tests can yield dramatically different conclusions"
Model specification is important.

#bayesian #bayes #bayesfactor #nulleffects #proportions

doi.org/10.1002/sim....

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#statstab #486 Testing Bayesian Informative Hypotheses in Five Steps With JASP and R {bain}

Thoughts: The BAIN module let's you go beyond "effect vs no effect" by specifying contrasts (hyp) & obtaining fractional BFs.

#bain #jasp #bayesfactor #bayesian #rstats #r

share.google/cTDvBO7SQM9C...

Hypothesis testing, model selection, model comparison - some thoughts EDIT: This was an attempt to write guidance. It turns out I stepped quite far from my depth and the text sounded much more conclusive than it should. I think it is correct to currently just classify i...

#statstab #467 Hypothesis testing, model selection, model comparison some thoughts

Thoughts: An excellent (but too short) discussion on bayesian inference.

#bayesian #bayesfactor #modelselection #inference #NBHT #BF #ROPE #primer

discourse.mc-stan.org/t/hypothesis...

OSF

#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...

Dienes Bayes factor calculatorDienes Bayes factor calculator

#statstab #443 Dienes Bayes factor calculator

Thoughts: Dienes presents a different way to compute BFs using the sample data. But, this can be seen as an acceptable double-dipping.

#bayesian #bayesfactor #evidence #likelihood #guide

bencepalfi.shinyapps.io/Dienes_BF_ca...

The Bayes factor

#statstab #414 The Bayes factor {shiny app}

Thoughts: It's almost the start of term, so here is another teaching tool for learning about Bayes Factors.

#nhbt #bayes #bayesfactor #learing #pedagogy #shiny #r

statsedge.org/shiny/LearnBF/

On Bayes factors for hypothesis tests - Psychonomic Bulletin & Review We develop alternative families of Bayes factors for use in hypothesis tests as alternatives to the popular default Bayes factors. The alternative Bayes factors are derived for the statistical analyse...

#statstab #402 On Bayes factors for hypothesis tests {emBayes Factor}

Thoughts: On bsky there were renewed debates about BFs. This paper provides "better" priors (mixture t centred on the ES). Also some p-value BFs

#bayesian #bayesfactor #priors #cohend

link.springer.com/article/10.3...

The JASP guidelines for conducting and reporting a Bayesian analysis - Psychonomic Bulletin & Review Despite the increasing popularity of Bayesian inference in empirical research, few practical guidelines provide detailed recommendations for how to apply Bayesian procedures and interpret the results....

#statstab #382 The JASP Guidelines for Conducting and Reporting a Bayesian Analysis

Thoughts: @jaspstats.bsky.social is often people's first attempt at Bayesian statistics. But proper inference and reporting is crucial

#JASP #Bayesian #BayesFactor #guide #tutorial
link.springer.com/article/10.3...

Experience Statistics

#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/

A Pragmatic Approach to Statistical Testing and Estimation (PASTE) The p-value has dominated research in education and related fields and a statistically non-significant p-value is quite commonly interpreted as ‘confirming’ the null hypothesis (H0) of ‘equivalence’. ...

#statstab #359 A Pragmatic Approach to Statistical Testing and Estimation (PASTE)

Thought: A (basic) guide to some alternatives to p-values: bayesian posterior intervals, Bayes Factors, and AIC.

#NHST #pvalues #TOST #BayesFactor #AIC #modelcomparison

doi.org/10.1016/j.hp...

17.10 Jeffreys-Lindley paradox | An Introduction to Data Analysis Introductory text for statistics and data analysis (using R)

#statstab #346 Jeffreys-Lindley paradox

Thoughts: I like this short explanation of the "paradox" of why frequentist and bayesian inference can differ.

#paradox #frequentist #bayesian #inference #bayesfactor #pvalue #explanation

michael-franke.github.io/intro-data-a...