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LavX NewsUnveiling ModePlait: A Breakthrough in Time-Evolving Causality Modeling for Data StreamsIn a world increasingly driven by data, understanding the causal relationships that evolve over time is crucial. ModePlait, a novel model developed by Chihara et al., promises to redefine how we analy...<a href="https://news.lavx.hu/article/unveiling-modeplait-a-breakthrough-in-time-evolving-causality-modeling-for-data-streams" rel="nofollow noopener noreferrer" target="_blank">https://news.lavx.hu/article/unveiling-modeplait-a-breakthrough-in-time-evolving-causality-modeling-for-data-streams</a><a href="https://mastodon.cloud/tags/news" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#news</a> <a href="https://mastodon.cloud/tags/tech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#tech</a> <a href="https://mastodon.cloud/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://mastodon.cloud/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> <a href="https://mastodon.cloud/tags/TimeSeriesForecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TimeSeriesForecasting</a>

Valeriy M., PhD, MBA, CQF<a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://sigmoid.social/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://sigmoid.social/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://sigmoid.social/tags/CareerGrowth" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CareerGrowth</a> <a href="https://sigmoid.social/tags/FutureSkills" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FutureSkills</a> <a href="https://sigmoid.social/tags/2025Trends" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#2025Trends</a> <a href="https://sigmoid.social/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> <a href="https://sigmoid.social/tags/DifferentialPrivacy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DifferentialPrivacy</a> <a href="https://sigmoid.social/tags/Forecasting" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Forecasting</a>

Tom StaffordCovid-19 Pandemic as a Natural Experiment: The Case of Home Advantage in Sports <a href="https://journals.sagepub.com/doi/10.1177/09637214241301300" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://journals.sagepub.com/doi/10.1177/09637214241301300</a> "The COVID-19 pandemic, with its unparalleled disruptions, offers a unique opportunity to isolate causal effects and test previously impossible hypotheses. Here, we examine the home advantage (HA) in sports—a phenomenon in which teams generally perform better in front of their home fans—and how the pandemic-induced absence of fans offered... natural experiment. "<a href="https://mastodon.online/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a>

Ingo RohlfingAre lightning strikes the new rainfall IV? <a href="https://blogs.worldbank.org/en/impactevaluations/are-lightning-strikes-the-new-rainfall-iv-" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://blogs.worldbank.org/en/impactevaluations/are-lightning-strikes-the-new-rainfall-iv-</a> <a href="https://mastodon.social/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> Isn't every instrument overused at some point? "overused" meaning too many studies use it for identifying all kinds of different relationships, making it implausible that exclusion restriction always holds <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statistics</a>

renebekkersCausalingofication - describing an association as if it is causal, without a research design allowing for causal inference. <a href="https://detectingbadscience.wordpress.com/2024/12/16/causalingofication/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://detectingbadscience.wordpress.com/2024/12/16/causalingofication/</a> Correlation is not causation. Yet research reports often make causal claims, even when the research design does not allow for them. Researchers regularly describe the results of a regression as if the correlates have “effects” on the outcome. <a href="https://mastodon.social/tags/badscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#badscience</a> <a href="https://mastodon.social/tags/betterscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#betterscience</a> <a href="https://mastodon.social/tags/causality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causality</a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causalinference</a> <a href="https://mastodon.social/tags/credibility" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#credibility</a> <a href="https://mastodon.social/tags/experiment" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#experiment</a> <a href="https://mastodon.social/tags/regression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#regression</a>

Eric MaugendreSurveys, coincidences, statistical significance 🧵"What Educated Citizens Should Know About Statistics and Probability" By Jessica Utts, in 2003: <a href="https://ics.uci.edu/~jutts/AmerStat2003.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://ics.uci.edu/~jutts/AmerStat2003.pdf</a> via <a href="https://hachyderm.io/@hrefna" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@hrefna</a> <a href="https://a.gup.pe/u/edutooters" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@edutooters</a><a href="https://hachyderm.io/tags/nullHypothesis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nullHypothesis</a> <a href="https://hachyderm.io/tags/probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#probability</a> <a href="https://hachyderm.io/tags/probabilities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#probabilities</a> <a href="https://hachyderm.io/tags/pValues" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pValues</a> <a href="https://hachyderm.io/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statistics</a> <a href="https://hachyderm.io/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stats</a> <a href="https://hachyderm.io/tags/education" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#education</a> <a href="https://hachyderm.io/tags/higherEd" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#higherEd</a> <a href="https://hachyderm.io/tags/statisticalLiteracy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statisticalLiteracy</a> <a href="https://hachyderm.io/tags/bias" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#bias</a> <a href="https://hachyderm.io/tags/media" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#media</a> <a href="https://hachyderm.io/tags/causalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causalInference</a>

Chris. Bart.To fully realize the potential of our clinical trials, we must go beyond randomization, and use causal inference and pharmacometric modelling and simulation. Advancing both we show that non-linear mixed effects modelling implements the equivalent of standardization in causal inference. Dive into this if you're into <a href="https://fosstodon.org/tags/causal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causal</a> <a href="https://fosstodon.org/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causalinference</a> <a href="https://fosstodon.org/tags/DAGs" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DAGs</a> <a href="https://fosstodon.org/tags/pharmacometrics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#pharmacometrics</a>, or clinical development <a href="https://fosstodon.org/tags/stats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#stats</a>.<a href="https://doi.org/10.1002/psp4.13239" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://doi.org/10.1002/psp4.13239</a>

R Consortium🎯Missed the <a href="https://fosstodon.org/tags/RMedicine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RMedicine</a> 2024 session on "Causal Inference in R"? No worries! 🎥 The recording is now available on YouTube. Dive into the essentials of causal inference and how to implement them using R. Watch it here: <a href="https://www.youtube.com/watch?v=RyIyqV2LRvY" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.youtube.com/watch?v=RyIyqV2LRvY</a> <a href="https://fosstodon.org/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> <a href="https://fosstodon.org/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> <a href="https://fosstodon.org/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://fosstodon.org/tags/HealthTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HealthTech</a>

Virgile AndreaniConfusion of the day:In electronics, an "open circuit" is one where electrons cannot flow (at least one switch is open) and a "closed circuit" one where electrons can flow (all switches are closed). In causal inference, an "open path" is one where information can flow (all variables can vary) and a "closed path" one where it cannot flow (at least one variable is fixed / controlled).Isn't this confusing? Is there maybe another way of thinking about it that makes more sense?<a href="https://fosstodon.org/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a>

Dr. LabRat<a href="https://scholar.social/@joakinen" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@joakinen</a> Also from this linked post, "(...) asking the right questions is one of the most important skills he’s learned", which is precisely the first step in <a href="https://fediscience.org/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causalinference</a>: ask a <a href="https://fediscience.org/tags/causal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causal</a> question. The overlap between (computer science) <a href="https://fediscience.org/tags/engineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#engineering</a> and <a href="https://fediscience.org/tags/philosophy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#philosophy</a> through <a href="https://fediscience.org/tags/causality" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causality</a> may be one of the clearest examples of this needed change of mindset [1]. <a href="https://mathstodon.xyz/@Jose_A_Alonso" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Jose_A_Alonso</a>[1] <a href="https://cs.ulb.ac.be/conferences/ebiss2023/slides/EBISS2023_slides_JordiVitria_1.IntroCausality.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://cs.ulb.ac.be/conferences/ebiss2023/slides/EBISS2023_slides_JordiVitria_1.IntroCausality.pdf</a>

Léo VarnetEn lien avec ces réflexions concernant les statistiques observationnelles, voici un billet décrivant l'une de nos études récentes qui visait à appliquer les méthodes d'inférence causale à l' <a href="https://fediscience.org/tags/audiologie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#audiologie</a> : dans les pertes auditives liées à l'âge, peut-on séparer la contribution du vieillissement de l'oreille de celle des déficits cognitifs ? <a href="https://dbao.leo-varnet.fr/2021/05/06/age-et-pertes-dintelligibilite-chez-les-personnes-presbyacousiques-appareillees-retour-sur-le-projet-genopath/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://dbao.leo-varnet.fr/2021/05/06/age-et-pertes-dintelligibilite-chez-les-personnes-presbyacousiques-appareillees-retour-sur-le-projet-genopath/</a> <a href="https://fediscience.org/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> <a href="https://fediscience.org/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://fediscience.org/tags/Statistiques" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistiques</a> <a href="https://fediscience.org/tags/Audiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Audiology</a> <a href="https://fediscience.org/tags/presbycusis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#presbycusis</a> <a href="https://fediscience.org/tags/HearingLoss" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HearingLoss</a>

David QuinteroI've thinking for some time about entering into causal inference, but I'm not sure how useful it can be for physics. I guess it's really helpful for social sciences and health sciences, but since in physics causality and causes are well established and known (at least in classical physics), I have doubts.Are you people in <a href="https://mathstodon.xyz/tags/physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#physics</a> using <a href="https://mathstodon.xyz/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causalinference</a>? <a href="https://mathstodon.xyz/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statistics</a>

Nico D'Angelo, MSI don't think I wrote a new <a href="https://mstdn.science/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#introduction</a> when I migrated from .social. I'm a <a href="https://mstdn.science/tags/computational" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#computational</a> <a href="https://mstdn.science/tags/InfectiousDisease" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InfectiousDisease</a> <a href="https://mstdn.science/tags/epidemiologist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#epidemiologist</a> and <a href="https://mstdn.science/tags/biostatistician" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biostatistician</a>. I work on <a href="https://mstdn.science/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> and <a href="https://mstdn.science/tags/NetworkScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NetworkScience</a> methods in ID Epi and <a href="https://mstdn.science/tags/DiseaseEcology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DiseaseEcology</a> <a href="https://mstdn.science/tags/DisEcol" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DisEcol</a>

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noopener noreferrer" target="_blank">TransplantID</a> medical, transplant infectious diseaseData <a href="https://toot.cat/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> data science, causal inference, causality, epidemiology, economics, psychology, statistics <a href="https://toot.cat/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> data science, data visualization <a href="https://toot.cat/tags/FMRevolution" rel="nofollow noopener noreferrer" target="_blank">FMRevolution</a> medical, family medicine revolution, health care reform <a href="https://toot.cat/tags/RLadies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RLadies</a> data science, R programming language, women in STEM <a href="https://toot.cat/tags/RStats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#RStats</a> data science, R programming language <a href="https://toot.cat/tags/TidyTuesday" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TidyTuesday</a> data science, R programming language <a href="https://toot.cat/tags/TidyVerse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TidyVerse</a> data science, R programming languageAstronomy <a href="https://toot.cat/tags/Astronomy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Astronomy</a> <a href="https://toot.cat/tags/AstroPhotography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AstroPhotography</a> astronomy, photographySTEM <a href="https://toot.cat/tags/BlackSTEM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BlackSTEM</a> Blacks in STEM <a href="https://toot.cat/tags/WomenInSTEM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#WomenInSTEM</a> women in STEM <a href="https://toot.cat/tags/WomenSTEM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#WomenSTEM</a> women in STEM<a href="https://toot.cat/tags/ICanHazPDF" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ICanHazPDF</a> request for full text of paywalled articleServers<a href="https://airpollution.science" rel="nofollow noopener noreferrer" target="_blank">airpollution.science</a> Air pollution science <a href="https://Archaeo.Social" rel="nofollow noopener noreferrer" target="_blank">Archaeo.Social</a> Anthropologists/Archaeologists/Historians <a href="https://Astrodon.social" rel="nofollow noopener noreferrer" target="_blank">Astrodon.social</a> For anyone interested in astronomy, astrophysics, astrophotography <a href="https://Biologists.social" rel="nofollow noopener noreferrer" target="_blank">Biologists.social</a> The Company of Biologists community server: cell biology, developmental biology and experimental biology <a 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interested in quantum computing, sensing, and communication <a href="https://QOTO.org" rel="nofollow noopener noreferrer" target="_blank">QOTO.org</a> STEM students & professionals <a href="https://Scholar.social" rel="nofollow noopener noreferrer" target="_blank">Scholar.social</a> Academic, university professors, graduate students, librarians <a href="https://Scicomm.xyz" rel="nofollow noopener noreferrer" target="_blank">Scicomm.xyz</a> Science communicators & enthusiasts, scientists <a href="https://ScienceMastodon.com" rel="nofollow noopener noreferrer" target="_blank">ScienceMastodon.com</a> Science journalists and scientists <a href="https://Sigmoid.social" rel="nofollow noopener noreferrer" target="_blank">Sigmoid.social</a> Artificial Intelligence <a href="https://SolarSystem.social" rel="nofollow noopener noreferrer" target="_blank">SolarSystem.social</a> For professionals working in the field of planetary science <a href="https://synapse.cafe" rel="nofollow noopener noreferrer" target="_blank">synapse.cafe</a> For anyone interested in neuroscience <a href="https://vis.social" rel="nofollow noopener noreferrer" target="_blank">vis.social</a> SciArt, SciComm, data visualization, creative coding <a href="https://WxCloud.social" rel="nofollow noopener noreferrer" target="_blank">WxCloud.social</a> Meteorology, climate, environment(<a href="https://toot.cat/@Hashtags/110460687230583361" rel="nofollow noopener noreferrer" target="_blank">See Index for More Hashtags</a>)<a href="https://fediverse.party/en/portal/servers/" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://fediverse.party/en/portal/servers/</a><ul><li>Original List Courtesy of <a href="https://zeroes.ca/@Rhyothemis" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Rhyothemis</a> -</li></ul>

Léo VarnetEn lien avec ces réflexions concernant les statistiques observationnelles, voici un billet décrivant l'une de nos études récentes qui visait à appliquer les méthodes d'inférence causale à l' <a href="https://qoto.org/tags/audiologie" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#audiologie</a> : dans les pertes auditives liées à l'âge quel est le poids du vieillissement de l'oreille et celui des déficits cognitifs ? <a href="http://dbao.leo-varnet.fr/2021/05/06/age-et-pertes-dintelligibilite-chez-les-personnes-presbyacousiques-appareillees-retour-sur-le-projet-genopath/#easy-footnote-bottom-3-902" rel="nofollow noopener noreferrer" target="_blank">http://dbao.leo-varnet.fr/2021/05/06/age-et-pertes-dintelligibilite-chez-les-personnes-presbyacousiques-appareillees-retour-sur-le-projet-genopath/#easy-footnote-bottom-3-902</a> <a href="https://qoto.org/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> <a href="https://qoto.org/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://qoto.org/tags/Statistique" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistique</a> <a href="https://qoto.org/tags/Stat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Stat</a> <a href="https://qoto.org/tags/Audiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Audiology</a> <a href="https://qoto.org/tags/presbycusis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#presbycusis</a> <a href="https://qoto.org/tags/PertesAuditives" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PertesAuditives</a>

Kou Murayama🤔 Which is causally correct?RQ: Studying math influences history grade?A: Increasing math study time by 1 hr has no influence on history grade.B. Wait, if you study math more, you lose time to study history. So causal effect is negative.<a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causalinference</a>

Andrew Heiss :rstats:The 8th iteration of my <a href="https://fediscience.org/tags/ProgramEvaluation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ProgramEvaluation</a> and <a href="https://fediscience.org/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a> course is up and live at <a href="https://evalsp23.classes.andrewheiss.com/" rel="nofollow noopener noreferrer" target="_blank">https://evalsp23.classes.andrewheiss.com/</a> ! It covers basic econometrics and DAGs, all with <a href="https://fediscience.org/tags/rstats" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#rstats</a>, and it's mostly asynchronous with dozens of hours of videos, and the whole thing is Creative Commons-licensed, so do whatever you want with it! <a href="https://fediscience.org/tags/epitwitter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#epitwitter</a> <a href="https://fediscience.org/tags/EconTwitter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EconTwitter</a> <a href="https://fediscience.org/tags/statsodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statsodon</a>

Kou Murayama<a href="https://mastodon.social/tags/Causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Causalinference</a> meets <a href="https://mastodon.social/tags/measurementmodels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#measurementmodels</a>. Must read by VanderWeele. All measures are formative, all measures are reflective, but both are fallacy.<a href="https://journals.lww.com/epidem/Fulltext/2022/01000/Constructed_Measures_and_Causal_Inference__Towards.17.aspx?context=FeaturedArticles&collectionId=1" rel="nofollow noopener noreferrer" target="_blank">https://journals.lww.com/epidem/Fulltext/2022/01000/Constructed_Measures_and_Causal_Inference__Towards.17.aspx?context=FeaturedArticles&collectionId=1</a>He claimed the importance of examining item-specific causal effects. Sorry for the self-promotion, but this is indeed what we also recently argue for ...<a href="https://psyarxiv.com/s6erz/" rel="nofollow noopener noreferrer" target="_blank">https://psyarxiv.com/s6erz/</a>

Kathy ReidGood morning <a href="https://aus.social/tags/Fediverse" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Fediverse</a> :fediverse: Hope you're all doing well with the influx from <a href="https://aus.social/tags/TwitterMigration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#TwitterMigration</a> <a href="https://aus.social/tags/JoinMastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#JoinMastodon</a> - in today's <a href="https://aus.social/tags/Introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Introduction</a> <a href="https://aus.social/tags/ConnectionList" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ConnectionList</a>, I feature several accounts to help more richly and deeply connect us. <a href="https://mastodon.social/@theconversationau" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@theconversationau</a> is The Conversation AU - an online publication that features writing by <a href="https://aus.social/tags/academic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#academic</a> <a href="https://aus.social/tags/research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#research</a> folx, with an editorial spin to make it readily accessible. If you like <a href="https://aus.social/tags/AcademicMastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AcademicMastodon</a> <a href="https://aus.social/tags/HigherEd" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HigherEd</a> then you might like this account. <a href="https://ecoevo.social/@biancadesanctis" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@biancadesanctis</a> is a <a href="https://aus.social/tags/PhD" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PhD</a> student at <a href="https://aus.social/tags/CambridgeUniversity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CambridgeUniversity</a>, where she's studying <a href="https://aus.social/tags/population" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#population</a> <a href="https://aus.social/tags/genetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#genetics</a>. Good luck with your PhD, Bianca! <a href="https://econtwitter.net/@patrickdoupe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@patrickdoupe</a> is an <a href="https://aus.social/tags/economist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#economist</a> who works with <a href="https://aus.social/tags/algorithms" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#algorithms</a> focusing on <a href="https://aus.social/tags/CausalInference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CausalInference</a>. Bae! I mean, Bayes 😄 <a href="https://c.im/@dangerousmeredith" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@dangerousmeredith</a> is Meredith and she's an amazing <a href="https://aus.social/tags/writer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#writer</a> and <a href="https://aus.social/tags/creative" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#creative</a>. Find her substack at <a href="https://dangerousmeredith.substack.com" rel="nofollow noopener noreferrer" target="_blank">https://dangerousmeredith.substack.com</a> <a href="https://hachyderm.io/@yarden" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@yarden</a> is a <a href="https://aus.social/tags/SoftwareEngineer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SoftwareEngineer</a> who works mostly with <a href="https://aus.social/tags/debugging" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#debugging</a> and <a href="https://aus.social/tags/debuggers" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#debuggers</a> 🐜 <a href="https://fosstodon.org/@Harishjosev" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Harishjosev</a> is interested in <a href="https://aus.social/tags/cybernetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#cybernetics</a> and <a href="https://aus.social/tags/SystemsTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SystemsTheory</a>, and writes about things like <a href="https://aus.social/tags/emergence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#emergence</a>. <a href="https://aus.social/@alangould" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@alangould</a> is Alan, and I used to work with him in a previous life. He's lovely - a quiet, gentle soul. You should follow him. That's it today, don't forget to share your own <a href="https://aus.social/tags/FollowFriday" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#FollowFriday</a> <a href="https://aus.social/tags/ConnectionList" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ConnectionList</a> ❤️(Edited to remove dodgy Lex account)

angela zhouI'll be at <a href="https://mastodon.social/tags/Neurips2022" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Neurips2022</a> Tues. 11/29 for our "oral-designated" poster on Empirical Gateaux Derivatives for Causal Inference!<a href="https://arxiv.org/abs/2208.13701" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://arxiv.org/abs/2208.13701</a>We study numerical differentiation to obtain influence functions for debiased causal inference. We show: - basic characterization: *what* estimator does finite differences compute? - rates of computational approx. to preserve stat. rates - usefulness for "custom" estimators like constrained MDPs<a href="https://mastodon.social/tags/machinelearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#machinelearning</a> <a href="https://mastodon.social/tags/causalinference" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#causalinference</a> <a href="https://mastodon.social/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statistics</a>

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