#statstab #622 Some notes on probability judgement Thoughts: The position of an answer can be more informative than it's correctness. #probability #psychology #bias #surveys #calibration #error blog.djnavarro.net/posts/2025-0...

Some notes on probability judgement – Notes from a data witch

For the love of fuck, literally nobody thinks that 20% of the population is transgender. Please stop sharing that ridiculous YouGov statistic

blog.djnavarro.net

🎉 ReproducibiliTea 2026 Conference | 25 September 2026 “A decade on & decades ahead” Lunch Break & Parallel Journal Clubs | 14:10–16:10 CEST Grab a bite and a warm cup of tea, then join us for interactive discussions! ⇆ Both journal clubs run at the same time in separate rooms.

#statstab #621 A General Method For Estimating Reliability Using Bayesian Measurement Uncertainty Thoughts: "estimating reliability [...] for complex cognitive and behavioural assessments without test-retest data" wow! #reliability #bayesian #testretest doi.org/10.31234/osf...

#statstab #620 Why is the Tukey's IQR not used in the R program? Thoughts: R has many ways to compute IQR and the default isn't what you'd probably get by hand. #iqr #rstats #forum #discussion #crossvalidated #tukey #robust #quantile #descriptives stats.stackexchange.com/questions/60...

Why is the Tukey's IQR not used in the R program?

I was writing an R Markdown for calculating measures of spread and was surprised to find that the IQR function does not use the IQR calculation I am used to using, which is: $$ \text{IQR} = \text{Q...

stats.stackexchange.com

#statstab #619 Generalized Linear Models: Linear regression with counts, ratios, binary outcomes and more Thoughts: Good teaching/learning resource #glm #education #guide #resources #rstats #r #linearmodel #regression #nonlinear #poisson #count #binomial fransrodenburg.github.io/Applied-Stat...

#statstab #618 True and false interindividual differences in the physiological response to an intervention Thoughts: Not all individual participant/data plots show what you think. #dataviz #plots #variance #variability #randomization #heterogeneity physoc.onlinelibrary.wiley.com/doi/ftr/10.1...

#statstab #617 Why Adjusted Regression Coefficients Are Less Descriptive Than They Look Thoughts: Great overview of the "controlling for" issue in multiple regression #regression #inference #covariates #multivariable #guide #adjustment #causalinference rpsychologist.com/descriptive-...

Why Adjusted Regression Coefficients Are Less Descriptive Than They Look | R Psychologist

An interactive article about how regression adjustment works and the pitfalls of conditional associations in descriptive studies.

rpsychologist.com

Okay before I do write my screed about cluster analysis, please send me your favorite *positive* examples that illustrate the utility of the method!

Julia M. Rohrer@dingdingpeng.the100.ci · last wk.

Did you know that there’s only a single letter separating an “idionomic clinical workflow” from an “idiotnomic clinical workflow”? I haven’t managed to write my screed about cluster analysis yet, here’s another blog post in the meantime: www.the100.ci/2024/10/28/i...

#statstab #616 The brms Book: Applied Bayesian Regression Modelling Using R and Stan (Early Draft) Thoughts: {brms} is a main package fir bayesian stats. A must to know. #brms #bayes #bayesian #modelling #book #tutorial #regression #stan #rstats #r paulbuerkner.com/software/brm...

#statstab #615 Evaluating Effect Size in Psychological Research: Sense and Nonsense Thoughts: It's a bit baffling that ppl just use some random value for their research. #effectsize #cohend #sesoi #design #theory journals.sagepub.com/doi/10.1177/...

Sage Journals: Discover world-class research

Subscription and open access journals from Sage, the world's leading independent academic publisher.

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#statstab #614 Conducting Theory-Based Reproducible Simulation Studies {theorytools} Thoughts: This looks like the work flow of the future (distant, unfortunately). #research #rstats #theory #workflow #tutorial #guide #worcs #FAIRtheory cjvanlissa.github.io/theorytools/...

#statstab #613 Additional caution regarding rules of thumb for variance inflation factors: extending O’Brien to the context of specification error Thoughts: I'm sure some will have strong opinions on VIF. #VIF #regression #ruleofthumb #multicolinearity link.springer.com/article/10.1...

Additional caution regarding rules of thumb for variance inflation factors: extending O’Brien to the context of specification error - Quality & Quantity

Despite the popularity of Variance Inflation Factor (VIF) scores as multicollinearity diagnostics, methodological work has voiced skepticism. In a paper that has become the most highly cited reference...

link.springer.com

EU friends: pls be aware that you cannot share certain types of data on Zenodo because Zenodo does actually not comply with GDPR. @lakens.bsky.social 's blog has a great summary. It's a pretty serious reason to avoid Zenodo for researchers who work with data, if I understand the issue correctly.

Amanda Kay Montoya@akmontoya.bsky.social · 2w ago

Curious about Zenodo as an OSF Project alternative? Here's a short video to get you started: File Uploads, Communities, and generating links for Anonymous Peer Review. youtu.be/jW84PxuJTMw

#statstab #612 Causal discovery and the problem of psychological interventions Thoughts: I recall this paper causing a bit of fuss (get it? Causing!). #causalinference #psychology #inference #effects #interventions #opinion #research www.sciencedirect.com/science/arti...

Causal discovery and the problem of psychological interventions

Finding causes is a central goal in psychological research. In this paper, I argue based on the interventionist approach to causal discovery that the …

sciencedirect.com

#statstab #611 How to practise Bayesian statistics outside the Bayesian church: What philosophy for Bayesian statistical modelling? Thoughts: A comment on the last statstab on the philosophy of Bayesian. #philosophy #bayes #inference #bayesian bpspsychub.onlinelibrary.wiley.com/doi/epdf/10....

#statstab #610 Philosophy and the practice of Bayesian statistics Thoughts: Bayesian as a hypothetico-deductive approach to science. #bayesian #philosophy #bayes #inference #probability #modelselection #modelchecking #assumptions sites.stat.columbia.edu/gelman/resea...

#statstab #609 When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias Thoughts: Don't judge effects by impressive pilot data. #poweranalysis #bias #samplesize #error #eta2 #omega #epsilon #effectsize www.sciencedirect.com/science/arti...

When power analyses based on pilot data are biased: Inaccurate effect size estimators and follow-up bias

When designing a study, the planned sample size is often based on power analyses. One way to choose an effect size for power analyses is by relying on…

sciencedirect.com

#statstab #608 Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide Thoughts: Covers categorisation (e.g. Median split), splines, nonlinear models, etc #guide #nonlinear #continuous #data #analysis www.bmj.com/content/390/...

Dealing with continuous variables and modelling non-linear associations in healthcare data: practical guide

Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ar...

bmj.com

#statstab #607 Thinking Clearly About Age, Period, and Cohort Effects Thoughts: How difficult could it be to model change over time? Answer: Difficult. #cohort #time #longitudinal #observational #causalinference #inference #age #estimand #methods journals.sagepub.com/doi/10.1177/...

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#statstab #606 How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible Thoughts: A starting resource for survey research. #surveys #research #methods #tutorial #sampling #probability #mobile www.annualreviews.org/content/jour...

How to Run Surveys: A Guide to Creating Your Own Identifying Variation and Revealing the Invisible

Surveys are an essential approach for eliciting otherwise invisible factors such as perceptions, knowledge and beliefs, attitudes, and reasoning. These factors are critical determinants of social, eco...

annualreviews.org

a new paper by Tim Rakow of King’s College London reveals that prior work that relied on database searches to report replication rates underestimated the number of replications that have been conducted. journals.sagepub.com/doi/abs/10.1... 4/

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#statstab #605 Distributed lags (and hierarchical distributed lags) using {mgcv} and {mvgam} Thoughts: Thorough tutorial, maybe I'll use these someday (somehow). #mcgv #lags #poisson #rstats #tutorial #gam #nonlinear ecogambler.netlify.app/blog/distrib...

Distributed lags (and hierarchical distributed lags) using mgcv and mvgam | GAMbler

Use mgcv's convenient list data format for setting up nonlinear functions that change smoothly over increasing temporal lags

ecogambler.netlify.app

#statstab #604 Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models Thoughts: Interesting take on causal inference & model misspecification. #brms #causalinference #bayesian #glmm #prediction www.tandfonline.com/doi/full/10....

#statstab #603 A More Complete Post on Decision Theory and EVSI in A/B Testing Thoughts: Interesting to consider, mostly for replications imo. #samplesize #poweranalysis #bayesian #evsi #loss #utility #ABtesting #decisiontheory dpananos.github.io/posts/2026-0...

A More Complete Post on Decision Theory and EVSI in A/B Testing – Demetri Pananos Ph.D

dpananos.github.io

#statstab #602 Factors associated with: problems of using exploratory multivariable regression to identify causal risk factors Thoughts: You mean I can't just add covariates and hope for the best!? #primer #causalinference #table2 #methods #regression bmjmedicine.bmj.com/content/4/1/...

Factors associated with: problems of using exploratory multivariable regression to identify causal risk factors

Many medical and epidemiological studies use multivariable regression to test whether several independent variables (exposures) are causal determinants of a health outcome. Where mutually adjusted reg...

bmjmedicine.bmj.com

#statstab #601 Magnitude-based Inference is not Bayesian and is not a valid method of inference Thoughts: Don't use random Excel sheets you find on the internet! 😅 #MBI #type1error #inference #statistics #methods #sportsscience #errorrate onlinelibrary.wiley.com/doi/10.1111/...

Magnitude‐based Inference is not Bayesian and is not a valid method of inference

Click on the article title to read more.

onlinelibrary.wiley.com

#statstab #600 The Estimand Framework and Causal Inference: Complementary Not Competing Paradigms Thoughts: Not everyone likes the Estimand framework, but it's useful to understand. #observational #estimand #causalinference #research #design #guide onlinelibrary.wiley.com/doi/full/10....

#statstab #599 Non-normal hierarchical regression & classification Thoughts: Comprehensive #r tutorial for binary and count analysis with #brms #logisticregression #count #poisson #negativebinomial #rstats #guide #tutorial #bayes #bayesian bayesf22-notebook.classes.andrewheiss.com/bayes-rules/...

"a good day to you, good sir" "and you, good sir"

Michelle says: Be kind. Always. ❤️@snarkysillysad.bsky.social · last mo.

@sdzsafaripark shares video of some Inca terns: 🔊 #AGoodPlace

#statstab #598 Why the tails come apart Thoughts: Why are very extreme people not the best at the thing they are extreme on? (interesting comments also) #berksonparadox #correlation #outliers #ecologicalfallacy #collider www.lesswrong.com/posts/dC7mP5...