Lecturer Psych & Crim @kingscollegelondon.bsky.social | Deception Detection; Emotions; JDM | Open Science; R; Bayes | UKRN ReproTea & StatsTea | #statstab | 🇷🇴 🇬🇧🌍 Stats blog: https://mzloteanu.substack.com/https://bsky.app/profile/mzloteanu.bsky.socialhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mvshhiwy222w#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 https://stats.stackexchange.com/questions/604221/why-is-the-tukeys-iqr-not-used-in-the-r-program18 Sep 2026 15:14 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mvshhiwy222whttps://bsky.app/profile/mzloteanu.bsky.social/post/3mvpzulc7vs25#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 https://fransrodenburg.github.io/Applied-Statistics/GLM.html#apply-glm17 Sep 2026 16:05 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mvpzulc7vs25https://bsky.app/profile/mzloteanu.bsky.social/post/3mvnil3jl4c2d#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 https://physoc.onlinelibrary.wiley.com/doi/ftr/10.1113/EP08507016 Sep 2026 15:50 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mvnil3jl4c2dhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mvkx6467mk2b#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 https://rpsychologist.com/descriptive-adjustment/15 Sep 2026 15:34 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mvkx6467mk2bhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mvim6xqwik2a#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 https://paulbuerkner.com/software/brms-book/brms-book.pdf14 Sep 2026 17:12 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mvim6xqwik2ahttps://bsky.app/profile/mzloteanu.bsky.social/post/3mvay44fwg227#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 https://journals.sagepub.com/doi/10.1177/251524591984720211 Sep 2026 16:24 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mvay44fwg227https://bsky.app/profile/mzloteanu.bsky.social/post/3mv6hccybz22g#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 https://cjvanlissa.github.io/theorytools/articles/computational_social_science.html10 Sep 2026 16:18 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mv6hccybz22ghttps://bsky.app/profile/mzloteanu.bsky.social/post/3mv4afaffuk2c#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 https://link.springer.com/article/10.1007/s11135-024-01980-009 Sep 2026 19:09 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mv4afaffuk2chttps://bsky.app/profile/mzloteanu.bsky.social/post/3muziob2kb22s#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 https://www.sciencedirect.com/science/article/pii/S0732118X1930143608 Sep 2026 16:59 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3muziob2kb22shttps://bsky.app/profile/mzloteanu.bsky.social/post/3mux6xlahzs2c#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 https://bpspsychub.onlinelibrary.wiley.com/doi/epdf/10.1111/j.2044-8317.2012.02062.x?saml_referrer=07 Sep 2026 19:00 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mux6xlahzs2chttps://bsky.app/profile/mzloteanu.bsky.social/post/3mupgw3uhok2a#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 https://sites.stat.columbia.edu/gelman/research/published/philosophy.pdf04 Sep 2026 17:01 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mupgw3uhok2ahttps://bsky.app/profile/mzloteanu.bsky.social/post/3mumxrvdsqs2x#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 https://www.sciencedirect.com/science/article/pii/S002210311630230X?via%3Dihub#bb001003 Sep 2026 17:25 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mumxrvdsqs2xhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mukqj7xq3k2b#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 https://www.bmj.com/content/390/bmj-2024-08244002 Sep 2026 20:09 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mukqj7xq3k2bhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mui2bopk2k2w#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 https://journals.sagepub.com/doi/10.1177/2515245925134275001 Sep 2026 18:26 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mui2bopk2k2whttps://bsky.app/profile/mzloteanu.bsky.social/post/3mufohnwegc25#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 https://www.annualreviews.org/content/journals/10.1146/annurev-economics-091622-01015731 Aug 2026 19:49 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mufohnwegc25https://bsky.app/profile/mzloteanu.bsky.social/post/3mu5q6boz622i#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 https://ecogambler.netlify.app/blog/distributed-lags-mgcv/28 Aug 2026 15:59 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mu5q6boz622ihttps://bsky.app/profile/mzloteanu.bsky.social/post/3mu37n3nd6k2r#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 https://www.tandfonline.com/doi/full/10.1080/00949655.2024.244953427 Aug 2026 15:57 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mu37n3nd6k2rhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mtyvk5ybv22k#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 https://dpananos.github.io/posts/2026-08-16-decisions/26 Aug 2026 17:51 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mtyvk5ybv22khttps://bsky.app/profile/mzloteanu.bsky.social/post/3mtwjmhrqvk2l#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 https://bmjmedicine.bmj.com/content/4/1/e00137525 Aug 2026 19:13 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mtwjmhrqvk2lhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mttolup3uk2b#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 https://onlinelibrary.wiley.com/doi/10.1111/sms.1349124 Aug 2026 16:04 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mttolup3uk2bhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mtmojvol522q#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 https://onlinelibrary.wiley.com/doi/full/10.1002/pst.70035?saml_referrer=21 Aug 2026 21:14 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mtmojvol522qhttps://bsky.app/profile/mzloteanu.bsky.social/post/3mtjp5mftik24#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 https://bayesf22-notebook.classes.andrewheiss.com/bayes-rules/18-chapter.html20 Aug 2026 16:47 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mtjp5mftik24https://bsky.app/profile/mzloteanu.bsky.social/post/3mthej7ke4s2g"a good day to you, good sir" "and you, good sir" [contains quote post or other embedded content]19 Aug 2026 18:31 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mthej7ke4s2ghttps://bsky.app/profile/mzloteanu.bsky.social/post/3mthbntbn2c26#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 https://www.lesswrong.com/posts/dC7mP5nSwvpL65Qu5/why-the-tails-come-apart19 Aug 2026 17:40 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mthbntbn2c26https://bsky.app/profile/mzloteanu.bsky.social/post/3mtepuuw3cs2a#statstab #597 Distribution of p-values when comparing two groups: an interactive visualization Thoughts: Teaching about p-values is challenging, so a visual can go a long way. #education #dataviz #plots #pvalues #nhst #visualization rpsychologist.com/d3/pdist/18 Aug 2026 17:17 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mtepuuw3cs2ahttps://bsky.app/profile/mzloteanu.bsky.social/post/3mtc7akthnc22#statstab #596 Generalized Additive Latent and Mixed Models {galamm} Thoughts: Complex ideas require complex (but appropriate) modelling strategies. #glmm #gam #r #rstats #lavaan #stan #latent #bayesian #bayes docs.ropensci.org/galamm/ https://docs.ropensci.org/galamm/17 Aug 2026 17:14 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mtc7akthnc22https://bsky.app/profile/mzloteanu.bsky.social/post/3mt2oj5mqy22d#statstab #595 Required Sample Size to Detect the Mediated Effect Thoughts: Do with this information what you will. #mediation #samplesize #poweranalysis #power #error #type2 #causalinference https://journals.sagepub.com/doi/full/10.1111/j.1467-9280.2007.01882.x14 Aug 2026 17:26 +0000at://did:plc:oxbw4yyfdujd2rhakdsrg73m/app.bsky.feed.post/3mt2oj5mqy22d