Latest posts tagged with #statstab on Bluesky
#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...
#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...
#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...
#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/...
#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/...
#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...
#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...
#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...
