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#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.92…
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...
From onlinelibrary.wiley.com 2
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#statstab #513 Some thoughts on checking the R session
Thoughts: Maybe we stop using rm(list=ls())? Setting up a good environment isn't always intuitive.
#rstats #r #coding #reproducibility #guide
blog.djnavarro.net/posts/2026-01-…
Some thoughts on checking the R session – Notes from a data witch
More precisely, some thoughts on an R package I might send to CRAN, and I’d appreciate comments and criticism
From blog.djnavarro.net 102
#statstab #512 Standardised mean difference estimators {shinyapp}
Thoughts: Calculating the correct SMD can be challenging, and most software are quite bad at it. Use this shiny app instead!
#cohend #SMD #hedgesg #heterogeneity #effectsize
effectsize.shinyapps.io/deffsize/
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#statstab #511 Seven Myths of Randomisation
in Clinical Trials
Thoughts: Randomization is a very power tool for inference. Closest we have to magic in research. But it's also misunderstood.
#randomization #experiment #inference #design #bias #science
methodologyhubs.mrc.ac.uk/files/9214/371…
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#statstab #510 A Note on Dropping Experimental Subjects who Fail a Manipulation Check
Thoughts: Another paper to consider when "removing participants who failed our manipulation check"🤷♂️
#manipulationcheck #estimand #experiment #bias #guide #missingdata
doi.org/10.1017/pan.20…f
A Note on Dropping Experimental Subjects who Fail a Manipulation Check | Political Analysis |...
A Note on Dropping Experimental Subjects who Fail a Manipulation Check - Volume 27 Issue 4
From cambridge.org 1
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#statstab #509 Effective sample size
Thoughts: ESS often reported for bayesian models, but is it really understood?
#brms #rstats #r #bayesian #ess #diagnostics
statmodeling.stat.columbia.edu/2025/11/27/eff…
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#statstab #508 Agreement Tests {SimplyAgree}
Thoughts: "R package was created to make the process of quantifying measurement agreement, consistency, and reliability"
#agreement #reliability #rstats #r #correlation #concordance
aaroncaldwell.us/SimplyAgree/ar…
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#statstab #507 Nonlinear models in {flocker}
Thoughts: I'm thinking these are useful if my theory predicts some natural limit (L) for a process. Like memory recall.
#nonlinear #glmm #brms #mem #asymtotic #flocker #r #rstats
maths.bris.ac.uk/R/web/packages…
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#statstab #506 The VIF Score. What is it Good For? Absolutely Nothing
Thoughts: Maybe we need to think more closely about what these metrics mean.
#diagnostics #assumptions #regression #vif #variance #variableselection #error #multicolinearity
journals.sagepub.com/doi/abs/10.117…
The VIF Score. What is it Good For? Absolutely Nothing - Arturs Kalnins, Kendall Praitis Hill, 2025
Variance inflation factors (VIF scores) are regression diagnostics commonly invoked throughout the social sciences. Researchers typically take the perspective t...
From journals.sagepub.com 1
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#statstab #505 Beyond Confounders
Thoughts: What makes a good control and a bad control?
#counterfactuals #confounder #DAG #r #modelling #selectionbias #variance #control #causalinference
matheusfacure.github.io/python-causali…
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#statstab #504 Likelihood Ratio Test for Publication Bias
Thoughts: Interesting idea for a problem many of us think is present, but is hard to measure.
#likelihood #publicationbias #QRPs #metascience #metapsychology #metaresearch
freestylerscientist.pl/projects/likel…
Likelihood Ratio Test for Publication Bias
Likelihood Ratio Test for Publication Bias — a statistical method to detect and quantify publication bias in heterogeneous datasets.
From freestylerscientist.pl 1
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#statstab #503 Reaction time distributions: an interactive overview
Thoughts: Might be useful when you start off with this type of research. But I am curious what people think for no-nos with this approach.
#reactiontime #rt #distributions #guide
lindeloev.github.io/shiny-rt/
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#statstab #502 Calculate between subjects Cohen's d from frequencies {effectsize}
Thoughts: May come in handy one day, but I'm dubious as to the inference here.
#frequency #cohend #effectsize #rstats #effectsize #shiny #r
errors.shinyapps.io/cohens-d-from-…
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#statstab #501 Prediction intervals for GLMs
Thoughts: Sometimes the prediction of the next dat point can be [0,1]. Not very useful.
#prediction #uncertainty #predictionintervals #glm #binomial #probability
fromthebottomoftheheap.net/2017/05/01/glm…
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#statstab #500🥳 How Parapsychology Could Become a Science
Churchland asks: why has parapsychology failed to become a successful science despite decades of experiments?
A: the absence of a coherent theoretical framework.
#critique #philosophy #science
thehangedman.com/teaching-files…0
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#statstab #499 SIMPLICITY AND COMPLEXITY IN ECOLOGICAL DATA ANALYSIS
Thoughts: I dislike this paper, but I don't mind sharing views that disagree with my own. Effective communication matters
#analysis #critique #critical #ANOVA #simplicity #communication
doi.org/10.1890/0012-9…
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#statstab #498 FReD Annotator:
Thoughts: "Check among citations whether one of the cited studies has been replicated" cool tool.
#OpenScience #replication #integrity #metascience #reproducibility #tool
metaanalyses.shinyapps.io/replicationdat…
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#statstab #497 On the Statistical Analysis of Experiments
With Manipulation Checks
Thoughts: All psychologists reading this title will panic. Yes, you can't just delete data and assume all is well.
#QRPs #estimand #causalinference #ITT #ATE #bias
journals.sagepub.com/doi/pdf/10.117…
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#statstab #496 Posterior predictive checks {performance}
Thoughts: Idk why more frequentist don't use ppc for their models. I can diagnose so many issues visually this way.
#error #posterior #ppc #modelfit #diagnostics #model #r #rstats #easystats
easystats.github.io/performance/re…
Posterior predictive checks — check_predictions
Posterior predictive checks mean "simulating replicated data under the fitted model and then comparing these to the observed data" (Gelman and Hill, 2007, p. 158). Posterior predictive checks can be...
From easystats.github.io 1
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