Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
veganism.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
Veganism Social is a welcoming space on the internet for vegans to connect and engage with the broader decentralized social media community.

Administered by:

Server stats:

272
active users

veganism.social: AboutStatusProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.4.0-alpha.5

#statstab

4 posts4 participants0 posts today
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/statstab" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstab</span></a> #406 The t-test tool</p><p>Thoughts: "Stephen Senn describes the t-test, whose centenary he has celebrated in the previous article." <span class="h-card" translate="no"><a href="https://mastodonapp.uk/@StephenSenn" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>StephenSenn</span></a></span> </p><p><a href="https://mastodon.social/tags/ttest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ttest</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/history" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>history</span></a> <a href="https://mastodon.social/tags/studentsttest" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>studentsttest</span></a> <a href="https://mastodon.social/tags/Gosset" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Gosset</span></a></p><p><a href="https://rss.onlinelibrary.wiley.com/doi/full/10.1111/j.1740-9713.2008.00280.x" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">rss.onlinelibrary.wiley.com/do</span><span class="invisible">i/full/10.1111/j.1740-9713.2008.00280.x</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> #405 Best Practices for Estimating, Interpreting, and<br>Presenting Nonlinear Interaction Effects</p><p>Thoughts: Guidance on nonlinear interactions, reporting (probabilities) and visualisations.</p><p><a href="https://mastodon.social/tags/probit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>probit</span></a> <a href="https://mastodon.social/tags/logit" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>logit</span></a> <a href="https://mastodon.social/tags/logisticregression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>logisticregression</span></a> <a href="https://mastodon.social/tags/nonlinear" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>nonlinear</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://sociologicalscience.com/download/vol-6/february/SocSci_v6_81to117.pdf" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">sociologicalscience.com/downlo</span><span class="invisible">ad/vol-6/february/SocSci_v6_81to117.pdf</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> #404 {latent2likert} simulate Likert response variables from hypothetical latent variables</p><p>Thoughts: Most of psych is Likert type data. This R pkg can help simulate effects and check model fit.</p><p><a href="https://mastodon.social/tags/likert" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>likert</span></a> <a href="https://mastodon.social/tags/ordinal" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ordinal</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/latent" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>latent</span></a> <a href="https://mastodon.social/tags/simulation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>simulation</span></a> <a href="https://mastodon.social/tags/data" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>data</span></a></p><p><a href="https://latent2likert.lalovic.io/articles/using_latent2likert" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">latent2likert.lalovic.io/artic</span><span class="invisible">les/using_latent2likert</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> #403 {CarefullyCausal} Provides estimates, assumptions and diagnostics for fixed-exposure causal analyses</p><p>Thoughts: Really nice package for beginners in causal inference and observational studies.</p><p><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/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a> <a href="https://mastodon.social/tags/teaching" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>teaching</span></a></p><p><a href="https://github.com/mauricekorf/CarefullyCausal" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">github.com/mauricekorf/Careful</span><span class="invisible">lyCausal</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> #402 On Bayes factors for hypothesis tests {emBayes Factor}</p><p>Thoughts: On bsky there were renewed debates about BFs. This paper provides "better" priors (mixture t centred on the ES). Also some p-value BFs</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/bayesfactor" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesfactor</span></a> <a href="https://mastodon.social/tags/priors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>priors</span></a> <a href="https://mastodon.social/tags/cohend" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>cohend</span></a></p><p><a href="https://link.springer.com/article/10.3758/s13423-024-02612-2" 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/s13423-024-02612-2</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> #401 Common issues, conundrums, and other things that might come up when implementing mixed models</p><p>Thoughts: GLMMs are cool, but come with their own quirks.</p><p><a href="https://mastodon.social/tags/glmm" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>glmm</span></a> <a href="https://mastodon.social/tags/lmer" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>lmer</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/mixedeffects" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>mixedeffects</span></a> <a href="https://mastodon.social/tags/hierarchicalmodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>hierarchicalmodels</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://m-clark.github.io/mixed-models-with-R/issues.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">m-clark.github.io/mixed-models</span><span class="invisible">-with-R/issues.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> #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>
VegansExploreLive feeds
About