Confounded dose-response effects of treatment adherence: fitting Bayesian instrumental variable models using brms Something that never ceases to amaze (depress) me, is how extremely common it is to see causal claims in RCTs, that are not part of the randomization. For…

#statstab #515 Confounded dose-response effects of treatment adherence: fitting Bayesian instrumental variable models using brms

Thoughts: A nice tutorial on how to think about confounding, Simulating data, and making inferences

#brms #bayes #IV #guide

rpsychologist.com/adherence-an...

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....

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

#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/2026-0...

#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/

#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

www.methodologyhubs.mrc.ac.uk/files/9214/3...

A Note on Dropping Experimental Subjects who Fail a Manipulation Check | Political Analysis | Cambridge Core A Note on Dropping Experimental Subjects who Fail a Manipulation Check - Volume 27 Issue 4

#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 #design #bias #guide #assumptions #missingdata

doi.org/10.1017/pan....

Effective sample size | Statistical Modeling, Causal Inference, and Social Science

#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/e...

Agreement Tests

#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/...

Nonlinear models in flocker

#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

www.maths.bris.ac.uk/R/web/packag...

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...

#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/10.1...

07 - Beyond Confounders — Causal Inference for the Brave and True

#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-causa...

Likelihood Ratio Test for Publication Bias Likelihood Ratio Test for Publication Bias — a statistical method to detect and quantify publication bias in heterogeneous datasets.

#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/lik...

#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 #r

lindeloev.github.io/shiny-rt/

<h1>Calculate between subjects Cohen's d from frequencies</h1> <h4>Using the {effectsize} package</h4>

#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-fro...

Prediction intervals for GLMs part I One of my more popular answers on StackOverflow concerns the issue of prediction intervals for a generalized linear model (GLM). My answer really only addresses how to compute confidence intervals for...

#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/g...

Yes really interesting stuff that aligns well with my own views! And congrats on #statstab 500! 🎉 Very helpful educational service to the community 👏

Looking forward to #statstab 1000 sometime in 2028!

Great paper right? I thought I would cap 500 of my #statstab with it. I have a few of these older papers open somewhere in my browsers that really shaped how I view science and what we do.

#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-fil...

#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 #ttest #simplicity #communication

doi.org/10.1890/0012...

#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/replicationd...

Sage Journals: Discover world-class research Subscription and open access journals from Sage, the world's leading independent academic publisher.

#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.

#assumptions #QRPs #estimand #causalinference #ITT #ATE #bias

journals.sagepub.com/doi/pdf/10.1...

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 u...

#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/...

Unsure Calculator The Unsure Calculator is an online tool that lets you calculate with numbers you’re not sure about.

#statstab #495 Unsure Calculator

Thoughts: Nifty way to incorporate your uncertainty when making some calculations and decisions.

#uncertainty #calculator #unsure #chance #sensitivity

filiph.github.io/unsure/

#statstab #494 {ggsurvfit}

Thoughts: "eases the creation of time-to-event (aka survival) summary figures with ggplot2"

#hazard #survival #ggplot #dataviz

www.danieldsjoberg.com/ggsurvfit/in...

What denominator does the Cohen's d use on JASP?? As I'm getting different results when calculating Cohen's d with SD Pooled as the denominator to the results JASP is giving me.

#statstab #493 What denominator does the Cohen's d use on JASP??

Thoughts: A thread spanning years, where people figure out the many ways to compute Cohen's d. This stuff needs better labels.

#effectsize #cohend #design #japs #r

forum.cogsci.nl/discussion/3...

#statstab #492 A tiny review on e-values and e-processes

Thoughts: How to be a bayesian while wearing a frequentist hat.

#evalues #eprocess #samplesize #evidence #power #sequential #error #type1

www.math.uwaterloo.ca/~wang/files/...

Correlation between two items with different scales I want to examine a correlation between empathy of bystander and acting to help the victim. I have a question How do you feel and think when you witness violence: 1) he deserves it, 2) I don't feel

#statstab #491 Correlation between two items with different scales

Thoughts: Even simple problems can have complex solutions.

#kendall #spearman #somersD #polychoric #ordinal

stats.stackexchange.com/questions/38...

Effect size for difference between variances / Levene's test I have tested a hypothesis of equal variances (using Levene's test), and would like to report an effect size alongside the significance test. Unfortunately, I cannot seem to find any references to ...

#statstab #490 Effect size for difference between variances / Levene's test

Thoughts: Always found it odd that we ignore heterogeneity for inference. We treat it like a "error".

#heterogeneity #welch #levene #variance #cvr #standarddeviation

stats.stackexchange.com/questions/17...

On the performance of the Neyman Allocation with small pilots The Neyman Allocation is used in many papers on experimental design, which typically assume that researchers have access to large pilot studies. This …

#statstab #489 On the performance of the Neyman Allocation with small pilots

Thoughts: If you know your treatment condition will have larger variance you can optimise your sample size.

#nhst #samplesize #neynan #heterogeneity #welch #variance #pilot #se

www.sciencedirect.com/science/arti...

OSF

#statstab #488 Why Hedges’ G*S Based On The Non-Pooled Standard Deviation Should Be Reported With Welch’s T-Test

Thoughts: If you use Welch's t, you must report Hedge's G_av. I think {effectsize} has it.

#effectsize #rstats #heterogeneity

doi.org/10.31234/osf...