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#statstab

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Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #400 (!) Precise Answers to Vague Questions: Issues With Interactions</p><p>Thoughts: For the 400th post, I'll reshare an important article for the causal inference and interactions.</p><p><a href="https://mastodon.social/tags/interactions" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>interactions</span></a> <a href="https://mastodon.social/tags/theory" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>theory</span></a> <a href="https://mastodon.social/tags/methodology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>methodology</span></a> <a href="https://mastodon.social/tags/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.social/tags/researchmethods" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>researchmethods</span></a></p><p><a href="https://journals.sagepub.com/doi/10.1177/25152459211007368" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">journals.sagepub.com/doi/10.11</span><span class="invisible">77/25152459211007368</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #399 An Illustrated Guide to TMLE, Part II: The Algorithm</p><p>Thoughts: Targeted Maximum Likelihood Estimation. Not sure what this is or if I'll ever use it, but the tutorial seems straightforward.</p><p><a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a> <a href="https://mastodon.social/tags/TMLE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TMLE</span></a> <a href="https://mastodon.social/tags/binary" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>binary</span></a> <a href="https://mastodon.social/tags/ML" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ML</span></a></p><p><a href="https://www.khstats.com/blog/tmle/tutorial-pt2" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">khstats.com/blog/tmle/tutorial</span><span class="invisible">-pt2</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #398 Eta^2 for bayesian models {effectsize}</p><p>Thoughts: Great resource, but scroll to "Eta Squared from Posterior Predictive Distribution"</p><p><a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/eta2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>eta2</span></a> <a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brms</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a></p><p><a href="https://easystats.github.io/effectsize/reference/eta_squared.html#eta-squared-from-posterior-predictive-distribution" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">easystats.github.io/effectsize</span><span class="invisible">/reference/eta_squared.html#eta-squared-from-posterior-predictive-distribution</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #397 How and Why I Switched from the ROC Curve to the Precision-Recall Curve to Analyze My Imbalanced Models</p><p>Thoughts: Can the eyewitness peeps explain how they correct for stimuli imbalance? 🤔</p><p><a href="https://mastodon.social/tags/roc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>roc</span></a> <a href="https://mastodon.social/tags/roccurve" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>roccurve</span></a> <a href="https://mastodon.social/tags/precisionaccuracy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>precisionaccuracy</span></a> <a href="https://mastodon.social/tags/auc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>auc</span></a></p><p><a href="https://juandelacalle.medium.com/how-and-why-i-switched-from-the-roc-curve-to-the-precision-recall-curve-to-analyze-my-imbalanced-6171da91c6b8" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">juandelacalle.medium.com/how-a</span><span class="invisible">nd-why-i-switched-from-the-roc-curve-to-the-precision-recall-curve-to-analyze-my-imbalanced-6171da91c6b8</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #396 If researchers find Cohen’s d = 8, no they didn’t</p><p>Thoughts: Sometimes an effect is so impressive that its unbelievable.</p><p><a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/cohend" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cohend</span></a> <a href="https://mastodon.social/tags/QRPs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QRPs</span></a> <a href="https://mastodon.social/tags/sesoi" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sesoi</span></a></p><p><a href="https://mmmdata.io/posts/2025/07/if-researchers-find-cohens-d-8-no-they-didnt/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mmmdata.io/posts/2025/07/if-re</span><span class="invisible">searchers-find-cohens-d-8-no-they-didnt/</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #395 The n-of-1 randomized controlled trial: clinical usefulness</p><p>Thoughts: Could RCTs comprised of 1 participant be useful? Maybe! And more so than large sample observational studies.</p><p><a href="https://mastodon.social/tags/Nof1" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Nof1</span></a> <a href="https://mastodon.social/tags/RCTs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RCTs</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causalinference</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/methods" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>methods</span></a> <a href="https://mastodon.social/tags/clinical" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>clinical</span></a></p><p><a href="https://pubmed.ncbi.nlm.nih.gov/2297206/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">pubmed.ncbi.nlm.nih.gov/229720</span><span class="invisible">6/</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #394 Difference-in-Differences Estimation</p><p>Thoughts: A bit of love for the python coders. DiD with lots of examples and estimators.</p><p><a href="https://mastodon.social/tags/did" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>did</span></a> <a href="https://mastodon.social/tags/python" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>python</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/observational" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>observational</span></a> <a href="https://mastodon.social/tags/TWFE" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>TWFE</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causalinference</span></a></p><p><a href="https://py-econometrics.github.io/pyfixest/difference-in-differences.html#pointwise-vs-simultaneous-inference-in-event-studies" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">py-econometrics.github.io/pyfi</span><span class="invisible">xest/difference-in-differences.html#pointwise-vs-simultaneous-inference-in-event-studies</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #393 Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements [actual post]</p><p>Thoughts: #392 has the comments, but this is where the magic happens.</p><p><a href="https://mastodon.social/tags/modelselection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelselection</span></a> <a href="https://mastodon.social/tags/modelcomparison" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelcomparison</span></a> <a href="https://mastodon.social/tags/variance" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>variance</span></a> <a href="https://mastodon.social/tags/effectsize" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>effectsize</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a></p><p><a href="https://www.fharrell.com/post/addvalue/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="">fharrell.com/post/addvalue/</span><span class="invisible"></span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #392 Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements (forum thread)</p><p>Thoughts: Forums can be great for asking the author for exact answers to complex questions</p><p><a href="https://mastodon.social/tags/modelselection" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>modelselection</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causalinference</span></a> <a href="https://mastodon.social/tags/prediction" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>prediction</span></a> <a href="https://mastodon.social/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://mastodon.social/tags/information" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>information</span></a></p><p><a href="https://discourse.datamethods.org/t/statistically-efficient-ways-to-quantify-added-predictive-value-of-new-measurements/2013/1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">discourse.datamethods.org/t/st</span><span class="invisible">atistically-efficient-ways-to-quantify-added-predictive-value-of-new-measurements/2013/1</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #391 {sensemakr} Sensitivity Analysis Tools for OLS</p><p>Thoughts: No unobserved variables is an untestable assumption, but you can quantify the robustness of your ATE.</p><p><a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causalinference</span></a> <a href="https://mastodon.social/tags/observational" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>observational</span></a> <a href="https://mastodon.social/tags/inference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>inference</span></a> <a href="https://mastodon.social/tags/confounding" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>confounding</span></a> <a href="https://mastodon.social/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://mastodon.social/tags/sensitivity" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sensitivity</span></a></p><p><a href="https://carloscinelli.com/sensemakr/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">carloscinelli.com/sensemakr/</span><span class="invisible"></span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #390 modelbased: An R package to make the most out of<br>your statistical models through marginal means,<br>marginal effects, and model predictions</p><p>Thoughts: Great package for getting predicted probabilities for your models.</p><p><a href="https://mastodon.social/tags/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/easystats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>easystats</span></a></p><p><a href="https://doi.org/10.21105/joss.07969" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">doi.org/10.21105/joss.07969</span><span class="invisible"></span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #389 Risk Ratio, odds ratio, risk difference… Which causal measure is easier to generalize?</p><p>Thoughts: Use this with #388 for better insight into the issue of risk, odds, probabilities, and more.</p><p><a href="https://mastodon.social/tags/odds" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>odds</span></a> <a href="https://mastodon.social/tags/oddsratios" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>oddsratios</span></a> <a href="https://mastodon.social/tags/riskratios" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>riskratios</span></a> <a href="https://mastodon.social/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a></p><p><a href="https://arxiv.org/html/2303.16008v3" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">arxiv.org/html/2303.16008v3</span><span class="invisible"></span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #388 The odds are it's wrong: Correcting a common mistake in statistics</p><p>Thoughts: Report probabilities instead, which in R (not SPSS) can be easily computed for your models.</p><p><a href="https://mastodon.social/tags/odds" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>odds</span></a> <a href="https://mastodon.social/tags/oddsratios" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>oddsratios</span></a> <a href="https://mastodon.social/tags/riskratios" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>riskratios</span></a> <a href="https://mastodon.social/tags/probability" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probability</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/logisticregression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>logisticregression</span></a></p><p><a href="https://onlinelibrary.wiley.com/doi/10.1111/test.12391" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">onlinelibrary.wiley.com/doi/10</span><span class="invisible">.1111/test.12391</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #387 Give Your Hypotheses Space!</p><p>Thoughts: "It’s tempting to throw a bunch of variables...into a model<br>...but proceed at your own caution!"</p><p><a href="https://mastodon.social/tags/Mbias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mbias</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causalinference</span></a> <a href="https://mastodon.social/tags/collider" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>collider</span></a> <a href="https://mastodon.social/tags/moderator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>moderator</span></a> <a href="https://mastodon.social/tags/confounder" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>confounder</span></a> <a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/DAG" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DAG</span></a></p><p><a href="https://brian-lookabaugh.github.io/website-brianlookabaugh/blog/2025/mutual-adjustment/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">brian-lookabaugh.github.io/web</span><span class="invisible">site-brianlookabaugh/blog/2025/mutual-adjustment/</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #386 {bayestestR} Evaluating Evidence and Making Decisions using Bayesian Statistics by <span class="h-card" translate="no"><a href="https://scicomm.xyz/@mattansb" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>mattansb</span></a></span> </p><p>Thoughts: Want to start using Bayesian stats? Here is a quick but comprehensive guide in <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a></p><p><a href="https://mastodon.social/tags/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a> <a href="https://mastodon.social/tags/bayes" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayes</span></a> <a href="https://mastodon.social/tags/mcmc" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mcmc</span></a> <a href="https://mastodon.social/tags/easystats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>easystats</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a></p><p><a href="https://mattansb.github.io/bayesian-evidence/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mattansb.github.io/bayesian-ev</span><span class="invisible">idence/</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #385 Understanding and Implementing Robust Regression in R</p><p>Thoughts: Not a thorough guide, but shows how simple it is to use a robust regression (rlm vs lm).</p><p><a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> <a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://mastodon.social/tags/robust" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>robust</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a> <a href="https://mastodon.social/tags/outliers" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>outliers</span></a> <a href="https://mastodon.social/tags/Mestimator" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Mestimator</span></a></p><p><a href="https://www.spsanderson.com/steveondata/posts/2023-11-28/index.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">spsanderson.com/steveondata/po</span><span class="invisible">sts/2023-11-28/index.html</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #384 When to use Fisher versus Neyman-Pearson framework?</p><p>Thoughts: 13y old post, still a good read today. Uni season is almost upon us, so it's good to learn this stuff.</p><p><a href="https://mastodon.social/tags/NHST" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NHST</span></a> <a href="https://mastodon.social/tags/pvalues" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pvalues</span></a> <a href="https://mastodon.social/tags/RAFisher" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RAFisher</span></a> <a href="https://mastodon.social/tags/NeymanPearson" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NeymanPearson</span></a> <a href="https://mastodon.social/tags/Fisher" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Fisher</span></a> <a href="https://mastodon.social/tags/forum" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>forum</span></a><br><a href="https://mastodon.social/tags/statsexchange" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statsexchange</span></a> </p><p><a href="https://stats.stackexchange.com/questions/23142/when-to-use-fisher-versus-neyman-pearson-framework" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">stats.stackexchange.com/questi</span><span class="invisible">ons/23142/when-to-use-fisher-versus-neyman-pearson-framework</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #383 Berkson's paradox</p><p>Thoughts: aka Berkson's bias, collider bias, or Berkson's fallacy. Important for interpreting conditional probabilities. Can produce counterintuitive patterns.</p><p><a href="https://mastodon.social/tags/paradox" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>paradox</span></a> <a href="https://mastodon.social/tags/collider" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>collider</span></a> <a href="https://mastodon.social/tags/bias" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bias</span></a> <a href="https://mastodon.social/tags/inference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>inference</span></a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causalinference</span></a></p><p><a href="https://en.m.wikipedia.org/wiki/Berkson's_paradox" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">en.m.wikipedia.org/wiki/Berkso</span><span class="invisible">n's_paradox</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #382 The JASP Guidelines for Conducting and Reporting a Bayesian Analysis</p><p>Thoughts: <span class="h-card" translate="no"><a href="https://fosstodon.org/@JASPStats" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>JASPStats</span></a></span> is often people's first attempt at Bayesian statistics. But proper inference and reporting is crucial.</p><p><a href="https://mastodon.social/tags/JASP" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>JASP</span></a> <a href="https://mastodon.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Bayesian</span></a> <a href="https://mastodon.social/tags/BayesFactor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>BayesFactor</span></a> <a href="https://mastodon.social/tags/guide" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>guide</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a></p><p><a href="https://link.springer.com/article/10.3758/s13423-020-01798-5" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">link.springer.com/article/10.3</span><span class="invisible">758/s13423-020-01798-5</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #381 In psychology everything mediates everything</p><p>Thoughts: Another great explanation of the pitfalls of mediation analysis. Mediation is not a simple procedure and require strong theory.</p><p><a href="https://mastodon.social/tags/mediation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mediation</span></a> <a href="https://mastodon.social/tags/QRPs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>QRPs</span></a> <a href="https://mastodon.social/tags/correlation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>correlation</span></a> <a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> <a href="https://mastodon.social/tags/PROCESS" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>PROCESS</span></a></p><p><a href="https://steamtraen.blogspot.com/2020/04/in-psychology-everything-mediates.html?m=1" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">steamtraen.blogspot.com/2020/0</span><span class="invisible">4/in-psychology-everything-mediates.html?m=1</span></a></p>