Latest posts tagged with #statstab on Bluesky
#statstab #521 Non-adjustment for multiple testing in multi-arm trials of distinct treatments: Rationale and justification
Thoughts: Most researchers struggle with multiplicity corrections.
#error #bonferroni #FWER #FDR #falsepositive #nhst #alpha
pmc.ncbi.nlm.nih.gov/articles/PMC...
#statstab #520 Reverse‐Bayes methods for evidence assessment and research synthesis
Thoughts: I was reminded of this paper on assessing the evidentiary value of a finding. What do ppl think?
#bayes #inference #evidence #probability #priors #sensitivity
doi.org/10.1002/jrsm...
#statstab #519 Sensitivity Analysis and Robustness Checks
Thoughts: Multiverse analysis allows you to capture decision uncertainty.
#multiverse #jackknife #bias #robustness #sensitivity #r #outliers
mike-data-analysis.share.connect.posit.cloud/sensitivity-...
#statstab #518 Before p < 0.05 to Beyond p < 0.05: Using History to
Contextualize p-Values and Significance Testing
Thoughts: An appropriate paper for today.
#pvalues #teaching #history #pedagogy #nhst #fisher
www.tandfonline.com/doi/pdf/10.1...
#statstab #517 Generalizing Generalizability in Information Systems Research
Thoughts: Do your findings generalise? What does that mean?
#design #causalinference #theory #generalisability
pubsonline.informs.org/doi/10.1287/...
#statstab #516 Is there a boxplot variant for Poisson distributed data?
Thoughts: People like their canned visualisations, but you need to think what question you are answering.
#poisson #boxplot #sqrttransform #dataviz #r #outliers #distribution
stats.stackexchange.com/questions/13...
#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...
#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....
#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...
#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....
#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...
#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/...
#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...
#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...
#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/
