fosstodon.org is one of the many independent Mastodon servers you can use to participate in the fediverse.
Fosstodon is an invite only Mastodon instance that is open to those who are interested in technology; particularly free & open source software. If you wish to join, contact us for an invite.

Administered by:

Server stats:

8.7K
active users

#statstodon

0 posts0 participants0 posts today
Dr Mircea Zloteanu ☀️ 🌊🌴<p>If I collect some data for a new treatment, but don't collect a control group, can I use the data from an older study that has the control condition? If so, how would I integrate this into my analysis? and what is the name for this? historical control? </p><p><a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</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/bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesian</span></a></p>
Martin Modrák<p>If I were to say that the primary benefit of randomization (and possibly blinding) is that it makes simple statistical models match the true data generating process quite well, would that be a provocative statement? Or would that be obvious? Is there a good reference for this line of reasoning?</p><p><a href="https://bayes.club/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://bayes.club/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://bayes.club/tags/phil" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>phil</span></a> <a href="https://bayes.club/tags/philosophy" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philosophy</span></a> <a href="https://bayes.club/tags/philsci" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philsci</span></a> <a href="https://bayes.club/tags/philscidon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>philscidon</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p><a href="https://mastodon.social/tags/r" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>r</span></a> and <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> people: do you have any resources for running sensitivity power analyses for mixed effects models? (e.g. for fixed samples to determine what is the smallest reliable detectable effect at a specific power level)</p><p><a href="https://mastodon.social/tags/power" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>power</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/NHST" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NHST</span></a></p>
Martin Modrák<p>Great guide to thinking about the age-period-cohort problem by Julia Rohrer: <a href="https://osf.io/preprints/psyarxiv/8zmuv" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">osf.io/preprints/psyarxiv/8zmu</span><span class="invisible">v</span></a></p><p><a href="https://bayes.club/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://bayes.club/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a></p>
Balasubramanian Narasimhan<p>In the latest installment of "Statistical Ideas that Changed the World", son Ryan interviews father Rob Tibshirani, humor included.<br><a href="https://www.youtube.com/watch?v=3rvl4KV41JE&amp;list=PLt_pNkbycxqahVksaNnjz3M6759xHIZ-r&amp;index=15" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">youtube.com/watch?v=3rvl4KV41J</span><span class="invisible">E&amp;list=PLt_pNkbycxqahVksaNnjz3M6759xHIZ-r&amp;index=15</span></a> <br><a href="https://mathstodon.xyz/tags/RStats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>RStats</span></a> <a href="https://mathstodon.xyz/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mathstodon.xyz/tags/machineLearning" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>machineLearning</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p>🚨 New Substack Post - A secret third way: Likelihoodist statistics </p><p>I provide a quick tutorial on conducting research using the Likelihoodist approach. It's step-by-step + <a href="https://mastodon.social/tags/R" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R</span></a> code</p><p><a href="https://open.substack.com/pub/mzloteanu/p/a-secret-third-way-likelihoodist?r=3b457w&amp;utm_campaign=post&amp;utm_medium=web&amp;showWelcomeOnShare=true" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.substack.com/pub/mzlotean</span><span class="invisible">u/p/a-secret-third-way-likelihoodist?r=3b457w&amp;utm_campaign=post&amp;utm_medium=web&amp;showWelcomeOnShare=true</span></a> </p><p><a href="https://mastodon.social/tags/substack" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>substack</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/education" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>education</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/science" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>science</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/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/tutorial" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>tutorial</span></a></p>
Matt Hodgkinson<p><span class="h-card" translate="no"><a href="https://fediscience.org/@vbuendiar" class="u-url mention" rel="nofollow noopener" target="_blank">@<span>vbuendiar</span></a></span> I used Statistics for the Life Sciences by Myra Samuels when I was at uni and I've consulted it occasionally since. One of these open access intros to statistics may suit you:<br><a href="https://openstax.org/details/books/introductory-statistics" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">openstax.org/details/books/int</span><span class="invisible">roductory-statistics</span></a><br><a href="https://open.umn.edu/opentextbooks/textbooks/459" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">open.umn.edu/opentextbooks/tex</span><span class="invisible">tbooks/459</span></a><br><a href="https://openintro-ims.netlify.app" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">openintro-ims.netlify.app</span><span class="invisible"></span></a><br><a href="https://directory.doabooks.org/handle/20.500.12854/34734" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">directory.doabooks.org/handle/</span><span class="invisible">20.500.12854/34734</span></a><br><a href="https://scicomm.xyz/tags/Statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statistics</span></a> <a href="https://scicomm.xyz/tags/StatisticsBasics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StatisticsBasics</span></a> <a href="https://scicomm.xyz/tags/StatsEducation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StatsEducation</span></a> <a href="https://scicomm.xyz/tags/StatsTeaching" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>StatsTeaching</span></a> <a href="https://scicomm.xyz/tags/Statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>Statstodon</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> #42 Bayes Factors in <a href="https://mastodon.social/tags/brms" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>brms</span></a></p><p>Thoughts: Bayes Factors are just the ratio of the height difference of two points on two lines, don't @ me! (seriously, that's how most packages commute it)</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/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/bayesfactors" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>bayesfactors</span></a> <a href="https://mastodon.social/tags/SavageDickey" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>SavageDickey</span></a> <a href="https://mastodon.social/tags/ResearchMethods" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>ResearchMethods</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/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> </p><p><a href="https://mvuorre.github.io/posts/2017-03-21-bayes-factors-with-brms/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">mvuorre.github.io/posts/2017-0</span><span class="invisible">3-21-bayes-factors-with-brms/</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> #39 Permutation test for "sharp" vs "weak" null hyp</p><p>Thoughts: Perm/Rand tests have a different (often inappropriate) Null Hypothesis. The similarity in estimates to asymptomatic tests is misleading wrt their inference.</p><p><a href="https://mastodon.social/tags/permutation" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>permutation</span></a> <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/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/experiments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>experiments</span></a> </p><p><a href="https://stats.stackexchange.com/questions/315891/permutation-tests-for-sharp-vs-weak-null-hypothesis" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">stats.stackexchange.com/questi</span><span class="invisible">ons/315891/permutation-tests-for-sharp-vs-weak-null-hypothesis</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> #35 Is R2 useless? </p><p>Thoughts: Yesterday I showed how to plot R2, now I post about why you might not want to. The points are valid (imo), but not unknown. Metrics are only useful if you accept their assumptions.</p><p><a href="https://mastodon.social/tags/R2" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>R2</span></a> <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/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</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/psychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>psychology</span></a> <a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>regression</span></a> </p><p><a href="https://library.virginia.edu/data/articles/is-r-squared-useless" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">library.virginia.edu/data/arti</span><span class="invisible">cles/is-r-squared-useless</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> #26 Divergence vs decision p-values</p><p>Thoughts: A lot of confusion about p-values can be resolved by realising that Fisherian p-values are different from NHST p-values. Useful paper.</p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</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/NHST" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>NHST</span></a> <a href="https://mastodon.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DataScience</span></a> <br><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/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> </p><p><a href="https://onlinelibrary.wiley.com/doi/10.1111/sjos.12625" 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/sjos.12625</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> #19 Model Estimation Options, Problems, and Troubleshooting</p><p>Thoughts: A nice guide on model convergence issues, REML vs FIML, and model comparison (frequentist s) </p><p><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/rstats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>rstats</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> </p><p><a href="https://www.learn-mlms.com/07-module-7.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">learn-mlms.com/07-module-7.htm</span><span class="invisible">l</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> #17 {emmeans} for unpacking interactions </p><p>Thoughts: Neither SPSS, JASP, or Jamovi can give you all the stats to unpack/report a 3x3 mixed ANOVA. But it's super easy with emmeans. Also learned "joint = TRUE" for simple effects. </p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <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/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/emmeans" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>emmeans</span></a> <a href="https://mastodon.social/tags/anova" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>anova</span></a></p><p><a href="https://cran.r-project.org/web/packages/emmeans/vignettes/interactions.html" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">cran.r-project.org/web/package</span><span class="invisible">s/emmeans/vignettes/interactions.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> #15 Bland-Altman plots</p><p>Thoughts: When I learned what these are, I was surprised how rarely (ever?) I see them in papers on "revised questionnaire X". This seems like exactly what readers want to see.<br><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/pyschometrics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>pyschometrics</span></a> <a href="https://mastodon.social/tags/measure" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>measure</span></a> <a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> </p><p><a href="https://thestatsgeek.com/2020/12/03/what-does-correlation-in-a-bland-altman-plot-mean/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">thestatsgeek.com/2020/12/03/wh</span><span class="invisible">at-does-correlation-in-a-bland-altman-plot-mean/</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> #14 Regression Discontinuity - does it make sense?</p><p>Thoughts: Not something I use, and I only learned of it from blogs like this one that critique the practice. I wonder what people think 🤔<br><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/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> <br><a href="https://statmodeling.stat.columbia.edu/2021/11/21/sausage-notice/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">statmodeling.stat.columbia.edu</span><span class="invisible">/2021/11/21/sausage-notice/</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> #12 WebPlotDigitizer - extract data from plots</p><p>Thoughts: Cool piece of software for data sleuths, and meta-analyses looking at old (or poorly reported) papers. </p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/plots" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>plots</span></a> <a href="https://mastodon.social/tags/dataviz" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>dataviz</span></a> <a href="https://mastodon.social/tags/forensic" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>forensic</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> </p><p><a href="https://automeris.io/WebPlotDigitizer/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="">automeris.io/WebPlotDigitizer/</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> #11 A Critical Perspective on Effect Sizes</p><p>Thoughts: A nice blog post reminding us to be critical of reported ES and their meaning. First time I considered effects being "too large" in pubs.</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/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statistics</span></a> </p><p><a href="https://quentinandre.net/post/a-critical-perspective-on-effect-sizes/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">quentinandre.net/post/a-critic</span><span class="invisible">al-perspective-on-effect-sizes/</span></a></p>
Michael Misamore<p>Ran into another "in the wild" instance of a failed rejection of a null hypothesis being interpreted by medical researchers as evidence of no effect.</p><p>Absence of evidence is not evidence of absence.</p><p><a href="https://sigmoid.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://sigmoid.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</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> #10 A calculator for single-case effect size indices</p><p>Thoughts: R2 said my N=1 analysis was "the effect of Bob" and was meaningless. Later, I came across Single Case Experimental Design research (SCED). 1 case can have value, just different!</p><p><a href="https://jepusto.github.io/SingleCaseES/" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">jepusto.github.io/SingleCaseES</span><span class="invisible">/</span></a></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/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <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/sced" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>sced</span></a></p>
Dr Mircea Zloteanu ☀️ 🌊🌴<p>I often see researchers confuse the effects they can measure in experiments vs observational studies. This fig from <a href="https://doi.org/10.1177/00031224211004187" rel="nofollow noopener" translate="no" target="_blank"><span class="invisible">https://</span><span class="ellipsis">doi.org/10.1177/00031224211004</span><span class="invisible">187</span></a> is my go-to when explaining this:</p><p><a href="https://mastodon.social/tags/stats" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>stats</span></a> <a href="https://mastodon.social/tags/causaleffect" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>causaleffect</span></a> <a href="https://mastodon.social/tags/statstodon" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>statstodon</span></a> <a href="https://mastodon.social/tags/experiments" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>experiments</span></a> <a href="https://mastodon.social/tags/DAGs" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>DAGs</span></a> <a href="https://mastodon.social/tags/research" class="mention hashtag" rel="nofollow noopener" target="_blank">#<span>research</span></a></p>