#causaltwitter search results
Tell me your favorite example of articles using DAGs to justify a causal analysis of non-experimental data. I'm particularly interested in articles that gave clear rationales for their DAGs and overall causal framework. #causaltwitter
I'm so excited that a 2nd cohort of our 𝘿𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚-𝙞𝙣-𝘿𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚𝙨 𝙘𝙤𝙪𝙧𝙨𝙚 at @CausalSolutions is coming up in March 2023. In total, 30+ hours of DiD! Detail info: causal-solutions.com #EconTwitter #CausalTwitter #PoliSciTwitter
Very useful tool to visualize and analyze BART (imho probably the best machine learning model for tabular data) models: alaninglis.github.io/bartMan/articl… #RStats #causalTwitter
Causal deep neural networks derived from #tensor (multilinear) factor analysis. Article: web.cs.ucla.edu/~maov/CausalDe… #CausalTwitter #MachineLearning #DataScience
Looking forward to attending @RealAAAI 24 next week in Vancouver. I will present our proposal for Continual Learning of Causal Networks and a proofof concept to do the same. Ping me if you would like to chat causality :-) Joint work with @drjilles & @sarah_mameche #CausalTwitter
What a stroke of luck to encounter @AleksanderMolak in Vancouver! Congratulations on a successful workshop! #causaltwitter
The paper "From Continual Learning to Causal Discovery in Robotics" was presented by Luca Castri at the Bridge Program on Continual Causality @RealAAAI. #causalrobotics #causaltwitter @darko_project @LCAS_UoL Paper: arxiv.org/abs/2301.03886 Event: continualcausality.org
"Efficient Causal Discovery for Robotics Applications" recently presented by @luca_castri at the @_I_RIM_ conference in Rome. Paper: arxiv.org/abs/2310.14925 Event: i-rim.it/en/i-rim-confe… #causaltwitter #causalrobotics @darko_project @LCAS_UoL
When to use Structural Equation Models (SEMs) and Directed Acyclic Graphs (DAGs). Useful guide #causality #causaltwitter
Curious what structural equation models like this can tell us—and what they can’t? You’re in luck, we’ve got a primer for you journals.sagepub.com/doi/10.1177/25…
Luca Castri presenting his paper at #CLeaR2023 on "Enhancing Causal Discovery from Robot Sensor Data in Dynamic Scenarios" 🤖 #causalrobotics #causaltwitter @darko_project @CLeaR_2022 Paper: arxiv.org/abs/2302.10135 Code: github.com/lcastri/fpcmci
I am hiring pre sales folks in London to commercialize causal ai #notllmwrapper causalens.recruitee.com/o/value-engine… #hiring #causaltwitter #causalinference #causalai
Hey #EconTwitter #CausalTwitter #Rstats I want to show the imp of doing DML in causal inf via simulations. Like, show the regularization bias of not using orthogonal scores, and that x-fitting also helps. I am using docs.doubleml.org/stable/guide/b… but wonder if there is anything…
1. R PACKAGE! For estimating the impact of potential interventions on multiple mediators in countering exposure effects (led by Tong Chen) Paper👉 tinyurl.com/ye26jsps Package👉 tinyurl.com/yuh4kens See thread for published examples of the method! #epitwitter #causaltwitter
"Why artificial intelligence needs to understand consequences." We knew this when ChatGPT made Shakuntala fall in love and marry Bharata. 😉 + #CausalTwitter #Causality nature.com/articles/d4158…
This is great. For those who are confused, it shows how differences between true populations, sampled sub-populations and actual samples combine to produce various effect estimates. #causality #causaltwitter #econtwitter #epitwitter
By popular request, Causal Wizard now supports Double ML: causalwizard.app/inference/arti… We're a bit unsure whether the configuration we've chosen is sufficiently flexible. Let us know what you think! #causality #epitwitter #causaltwitter #econtwitter
Causal inference folks: What do we think about personality traits as causes? E.g., are, say, the Big 5 traits causes of behavior? #causaltwitter
LLMs are trained to predict the next word (or token) in a sentence. - @YejinChoinka Any hypothesized learned knowledge of the world should be tested. Apply an intervention! #causaltwitter #GPT #machinelearning
I like @YejinChoinka's "Dark Matter" metaphor of commonsense, but I think the metaphor of a new dimension (as in Plato's cave) is a better one. The relationship between data and understanding is clearer, and we have a laboratory - causal AI - to test ideas on that relationship.
🚨A MUST-READ piece led by @_MargaritaMB with John Carlin and @rush_099 (now in press in Epidemiology) #EpiTwitter #CausalTwitter #CausalInference #OpenScience✨👇
NEW PAPER! (in press in EPIDEMIOLOGY) Have you wondered: - How to specify a target trial: as an ideal trial or something else? - What biases do target trial emulations and actual RCTs share? - How does it all relate to potential outcomes? Read👉arxiv.org/abs/2405.10026
🚨New method alert! So excited to see our group’s work led by Tong Chen with now available as an R package 📦 A powerful tool for estimating intervention effects through **multiple mediators**—with real examples to guide you! Check it out ⬇️ #epitwitter #causaltwitter #rstats
1. R PACKAGE! For estimating the impact of potential interventions on multiple mediators in countering exposure effects (led by Tong Chen) Paper👉 tinyurl.com/ye26jsps Package👉 tinyurl.com/yuh4kens See thread for published examples of the method! #epitwitter #causaltwitter
NOW PUBLISHED! Featured article + 6 Commentaries + Rejoinder: “On the Uses and Abuses of Regression Models: A Call for Reform of Statistical Practice and Teaching” with my colleague John Carlin tinyurl.com/2z2tmkhh @CEBU_Melbourne @vicbiostat #epitwitter #causaltwitter
When generalizing effects from RCTs to new populations, nonadherence complicates interpretation. How can we better address this challenge in our research methodologies? @umnbiostat #causaltwitter #healthtechplatform
Very useful tool to visualize and analyze BART (imho probably the best machine learning model for tabular data) models: alaninglis.github.io/bartMan/articl… #RStats #causalTwitter
😀 Excited to teach an online course on Causal Machine Learning at the Africa Training Workshop in Econometrics 2024 of @econometricsoc, Dec 3–6: editorialexpress.com/conference/AFT… #EconTwitter #CausalTwitter #CausalMachineLearning
By popular request, Causal Wizard now supports Double ML: causalwizard.app/inference/arti… We're a bit unsure whether the configuration we've chosen is sufficiently flexible. Let us know what you think! #causality #epitwitter #causaltwitter #econtwitter
I'm very proud of @AnnaGuo617 and excited to share our new manuscript on flexible #causal effect estimation in a broad class of DAGs with unmeasured confounders. #CausalTwitter arxiv.org/pdf/2409.03962
Causal inference folks: What do we think about personality traits as causes? E.g., are, say, the Big 5 traits causes of behavior? #causaltwitter
The paper led by @PronouncedKeil is published in AJE today: Inverse Probability Weighting to Estimate Impacts of Hypothetical Occupational Limits on Radon Exposure to Reduce Lung Cancer #causaltwitter #epitwitter academic.oup.com/aje/article/do…
If possible please share your rebuttal, @ziv_ravid. #causaltwitter #MachineLearning Intuitions whether they be pre-conceived beliefs, or based on anecdotal patterns or correlations observed in the world, they lack the rigorous, experimental foundation that characterizes…
I'm so excited that a 2nd cohort of our 𝘿𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚-𝙞𝙣-𝘿𝙞𝙛𝙛𝙚𝙧𝙚𝙣𝙘𝙚𝙨 𝙘𝙤𝙪𝙧𝙨𝙚 at @CausalSolutions is coming up in March 2023. In total, 30+ hours of DiD! Detail info: causal-solutions.com #EconTwitter #CausalTwitter #PoliSciTwitter
#causaltwitter Don’t miss the new article by Etsuji Suzuki, my favorite author in #CausalInference degruyter.com/document/doi/1…
Plus... If he had read more than the first paragraph of the Wikipedia article he himself shared, he might have noticed that Wikipedis clearly says that it is a misnomer as I pointed out. #CausalTwitter
Special Issue of Journal of Causal Inference dedicated to the Neyman 1923 paper and its influences on causal inference Deadline for submissions: October 1, 2023 #causaltwitter #CausalInference
The underappreciated achievement of @yudapearl is the consistency proposition derived from a theory that does not postulate it. #causaltwitter
Examining association between treatment and outcome? Try comparing the proportion of outcomes in treatment groups. And for a deeper understanding of the relationship, check out Prof. Oldford's use of eikosograms. 👇🏻 #causaltwitter #epitwitter
If ‘estimands’ and ‘counterfactuals’ are part of your definition of research design, then you may find this comprehensive paper interesting @IanLundberg1 #causalinference #causaltwitter
What a stroke of luck to encounter @AleksanderMolak in Vancouver! Congratulations on a successful workshop! #causaltwitter
The Demon-Haunthed World: Science as the Candle in the Dark. #scientificmethod #CausalTwitter #AcademicTwitter #STEM #STEMeducation
Can you solve this #daggle? Find a minimal adjustment set to identify the *total* effect of X on Y #CausalTwitter cbdrh.shinyapps.io/daggle/?_value…
Causal deep neural networks derived from #tensor (multilinear) factor analysis. Article: web.cs.ucla.edu/~maov/CausalDe… #CausalTwitter #MachineLearning #DataScience
Hello #causaltwitter #epitwitter. When I go to dagitty.net I see this: If I click on the first link it keeps coming back on this page. What's wrong?
Amazing, but this 1997 paper already shows what (and why) we can learn from observational studies about the bounds of treatment effects in a randomized experiment marred by non-compliance👇🏻The rest is just a history of the neglect by the EBM promoters. #causaltwitter
Glad you mentioned "non-compliance". Indeed, this was one of the first tasks addressed and solved in do-calculus. See ucla.in/2pQ0Gvr. The paper also includes applications to real-life data -- pacifying those who claim such applications are missing from CI literature.
#EconTwitter- #CausalTwitter We have 2 open post-doc positions at the Dept of Economics at @ses_unifr @unifr. Please share and/or apply by Nov 10:
Looking to improve your grant submission or thesis screening with solid reasons for publishing directed acyclic graphs? Don't miss this editorial by Mary Schooling @JClinEpi. #AcademicTwitter #ResearchMethods' jclinepi.com/article/S0895-… #causaltwitter #DAG
RT the_heruman RT @AleksanderMolak: 98% of data scientists work with DAGs almost every day, but they won't tell you about it. Do you know why? 🧵 (1/n) #causality #causaltwitter #machinelearning
RT kduttnk RT the_heruman RT @AleksanderMolak: 98% of data scientists work with DAGs almost every day, but they won't tell you about it. Do you know why? 🧵 (1/n) #causality #causaltwitter #machinelearning …
Yes!!! Use the Scientific Method! Generate a hypothesis and rigorously test it! #causaltwitter #machinelearning #ArtificialIntelligence
Great book but my fave is #thebookofwhy @yudapearl #causalinference #CausalTwitter #epitwitter #epiverse
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