#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/

frequentist statistics is about long run frequency behavior because the conversations about it go on and on forever

#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...

I await the day DAGs become part of "voodoo stats"

#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/...

#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...

#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...

Open up your wallets, funders! I want to test a small interaction and will need the gdp of a small country to get enough participants. 💷 📈

PSA: What google says the formula for Cohen's d with pooled SD is wrong! This formula is only a valid approx when you have equal groups & homogeneity of variance! Otherwise, it gives you a different standardizer: SD_av Don't panic though, often this is what you should report for a Welch's test.

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#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...

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This describes most psych papers where the authors mysteriously decide to "control for demographics" in their little study.

#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....

Here it is, your moment of zen.

Our #openaccess paper on the Tree of Life methodology in a UK secure forensic inpatient setting is out in #CurrentPsychlogy ToL supported identity development, and fostered shared understanding & community. See link: link.springer.com/article/10.1... #ForensicPsychology #MentalHealth

Why can't we invent a framework for inference that is simple and doesn't require these kind of threads? 😭

Too many significance tests!! Made this little graphic for my #stats class, showing the various kinds of (N)HST and how interpreting confidence intervals can replace all of them. Made with #rstats #ggplot (duh)

#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...

This meme is dead.

I published a study in Experimental Results, a Cambridge Core journal that focused on publishing null results. 1y later the journal shut down... As much as I hoped that writing up papers accurately - when null /no effect was what you predicted - would be enough, the publishing world doesn't agree.

#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...

#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...

My introduction promises a conversation the results are not entirely prepared to have

#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...

Compositional data (proportions that sum to 1) behave in ways standard models aren’t built for I walk through why Dirichlet regression is often the right tool & what extra insight it gives using a real ex of eyetracking #Dirichlet #r #brms #guide #eyetracking open.substack.com/pub/mzlotean...

#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...

Getting ready for the Perspectives on Scientific Error (PSE8) conference, taking place next week! @mzloteanu.bsky.social @mattansb.msbstats.info www.linkedin.com/posts/cody-n...

#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...

I hate this: "The Editors have retracted this article... the Mini-Mental State Examination (MMSE) instrument was used without proper permissions" link.springer.com/article/10.1... The MMSE is a series of 11 simple questions. A perfectly good paper is retracted because you can copyright 11 questions

#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...

#statstab #477 Don’t calculate post-hoc power using observed estimate of effect size Thoughts: Good discussion and many useful references. Even big journals print stupid stuff. #posthoc #power #sensitivity #samplesize #consort #medicine #bias statmodeling.stat.columbia.edu/2018/09/24/d...

You do experiments, you get results

#statstab #476 Experimental : causal Thoughts: Randomized experiments are the gold standard for inference for a reason. But they are hard to design. #design #r #statistics #methods #experiment #tutorial #pedagogy #education #hypothesis #nhst #causal #ancova book.declaredesign.org/library/expe...

WHAT?! This looks amazing. No more p1, p2, p3… I'm almost scared to check how long this has been possible.

#statstab #475 Experimental : descriptive Thoughts: Not all experiments are causal. Sometimes the best we can do is describe a quantity or difference. #design #r #statistics #methods #experiment #tutorial #pedagogy #education book.declaredesign.org/library/expe...

Obs study ppl: Propensity Scores work! Propensity Scores:

Zotero 8 is out (www.zotero.org/blog/zotero-8/). If you're not already using, highly recommended!

#statstab #474 {DeclareDesign} Observational : causal Thoughts: If you want to do causal research with OS there is a lot more to consider than in #473 #design #research #rstats #education #tutorial #pedagogy #DiD #DAGs #causalinference book.declaredesign.org/library/obse...

After all, why not? Why shouldn't I keep it?

#statstab #473 {DeclareDesign} Observational : descriptive Thoughts: I'll post the vignettes for the various study types, as they illustrate how to think about your research in detail. #design #research #rstats #education #tutorial #pedagogy book.declaredesign.org/library/obse...

#statstab #472 {DeclareDesign} Declaration, diagnosis, redesign - example Thoughts: More attention to the planning and simulation stage of a project can give big dividents (it's also a necessary step!) #design #research #rstats #education #tutorial #pedagogy book.declaredesign.org/declaration-...

#statstab #471 Analysis Resources for N-of-1 research Thoughts: Some cool and some questionable stuff, but a good place to start looking. #Nof1 #analysis #resources #estimand #methods #sced #stats #smallsample #scd www.nof1sced.org/analysis

#statstab #470 Low power bias {shiny} app Thoughts: easily show what conducting an underpowered study would do to your effect size (type M error). #teaching #bias #power #typeM #typeS #QRPs #underpowered #samplesize c-jaksic.shinyapps.io/small_power_...