#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/

#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...

#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...

#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...

#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...

#statstab #487 More than meets the ITT: A guide for anticipating and investigating nonsignificant results in survey experiments

Thoughts: I see a lot of papers that make at least one of the 7 errors for "no effect".

#survey #nhst #nulleffects #nonsignificant #pvalue #power

doi.org/10.1017/XPS....

#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...

#statstab #485 Bayesian ANCOVA and the ATE

Thoughts: Still grappling with the implications of using the causal inference approach to randomized experiments. But it's interesting.

#ATE #causalinference #ancova #ANOVA #rstats #estimand #counterfactuals

solomonkurz.netlify.app/blog/2025-07...

#statstab #484 Prediction Interval for a New Response

Thoughts: I think often researchers want to report a PI instead of a CI, at least based on what they claim in the discussion.

#prediction #newstudy #predictionintervals

online.stat.psu.edu/stat501/less...

#statstab #483 Summary of Mixed Models as HTML Table w/ {sjPlot}

Thoughts: Nobody like formatting tables, especially for complicated models. But you can easy make them with some R code.

#rstats #apa #table #formatting #paper #r

strengejacke.github.io/sjPlot/artic...

Introducing Causion: A web app for playing with DAGs | Peder M. Isager Personal website of Dr. Peder M. Isager

#statstab #482 Introducing Causion: A web app for playing with DAGs

Thoughts: A very cool app. Let's you see exactly what your assumptions and DGP mean for your causal model.

#causal #causalinference #DAG #DAGs #dgp #tutorial #guide #education #pedagogy

pedermisager.org/blog/causion...

#statstab #481 Getting over ANOVA: Estimation graphics for multi-group comparisons

Thoughts: Complex designs are harder to visualise, but with Estimation Statistics you get some perks over simple bar charts.

#design #estimationstatistics #ANOVA

www.biorxiv.org/content/10.6...

#statstab #480 Criticism as asynchronous collaboration

Thoughts: Gelman considers this different from a commentary or critique. Interesting. Thoughts?

#metascience #metapsychology #replication #commentary #collaboration #analysis #reanalysis

sites.stat.columbia.edu/gelman/resea...

#statstab #479 Different ways of calculating OLS regression coefficients (in R)

Thoughts: The are many ways to skin a variable...

#rstats #regression #modelling #tutorial #r #glm #ols #coding

thomvolker.github.io/blog/2506_re...

#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

marginaleffects.com/chapters/pre...