#causalmachinelearning 검색 결과
You can view the recording of my online talk @turinginst @AIM_RSF here on YouTube on #causalinference #TargetTrial emulation #CausalMachineLearning #polypharmacy & #deprescribing on research with @MatthewSperrin @dynairx @OfficialUoM youtu.be/z0CtfYnu3b8?si…
youtube.com
YouTube
An overview of causal machine learning methodology in Electronic...
Develop an understanding and familiarity with Causal Machine Learning (CML) and learn how to confidently apply CML methods in your own research. For more details: myumi.ch/zXJWb #SumProg25 #ICPSR #CausalMachineLearning #MachineLearningWorkshop #DataScienceEducation
😀 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
Attending the PhD Student & Supervisor Conference of the European Health Economics Association in beautiful #Lucerne! Excited to discuss methods for #CausalMachineLearning. #EpiTwitter #EconTwitter
#causalMachineLearning to the rescue... It's early days, but this will change things dramatically, especially in small samples. ncbi.nlm.nih.gov/pmc/articles/P… More to come for causal models of gut-brain interaction soon in collaboration with @SThanarajah , Dominik Heider and others
Learn to evaluate heterogenous treatment effects using popular #causalmachinelearning methods, including Causal Forests and #BayesianAdditiveRegressionTrees in a July 10-11 short course. Learn more here>> ow.ly/GAoc50SrJJW #HEOR
The next Causal #DataScience Meeting is coming up on Nov 5-6—a great online conference bringing together scholars and business experts to present and discuss insights on #CausalAnalysis, impact evaluation, and #CausalMachineLearning. Not to be missed! #EconTwitter #Causaltwitter
Announcing the Causal Data Science Meeting (#CDSM24, Nov 5–6), jointly organized by @CBScph and @MaastrichtU. We're very happy to welcome @Susan_Athey as our first Keynote speaker. Submit your latest and most practical work on causal ML by Sep 29, 2024.💁🏼♂️ causalscience.org
Very happy to deliver a short course on optimal policy learning based on #causalmachinelearning in the Workshops for #Ukraine series
On May 16th we will have a workshop on Optimal policy learning based on causal machine learning in R by @CausalHuber. More info: bit.ly/3U1yDGJ Please share! #RStats #EconTwitter #AcademicTwitter
We started week 3 at the #GESISspringseminar! A very warm welcome to lecturers & participants for the final week. 👋 We hope everyone's as excited as we are. 😀 Plenty of opportunities ahead for gaining further #CausalMachineLearning skills and building connections! 👥
@MC_Knaus delivers an introductory session on #CausalMachineLearning as part of the "Workshops for #Ukraine" series. 👇👍 #EconTwitter #CausalTwitter #EpiTwitter #StatsTwitter
seems there was no learning effect from last year in terms of room assignment😂 but great to see such a large interest in #CausalMachineLearning
Had the wonderful opportunity to visit @IFAU_SE in Sweden this week and deliver a course on #CausalMachineLearning, along with a research talk. Thank you very much @adrianadermon and the entire @IFAU_SE for hosting me in the charming city of #Uppsala-it was great to meet you!
Just under a month left until my book #CausalAnalysis - #ImpactEvaluation and #CausalMachineLearning with Applications in R is released on Aug 1st by @mitpress! 😀mitpress.mit.edu/9780262545914/… #RStats #EconTwitter #EpiTwitter #PolicyEvaluation
Already looking forward to the Causal Data Science Meeting in Nov - a great online conference on #CausalAnalysis and #CausalMachineLearning with both academic and industry applications/contributions.
Check out this non-technical introduction to #CausalMachineLearning by @MichaelLechner8 (published in @sjesEditors) 👍 #DataScience #CausalTwitter #MachineLearning
In case you are interested in a non-technical introduction into Causal Machine Learning for Economists, SJES just published my paper (sjes.springeropen.com/articles/10.11…). It's open-access and based on a keynote I gave at the meeting of the German Economic Association recently.
A new book on #CausalInference, #CausalMachineLearning, and #CausalDiscovery in #Python by @AleksanderMolak 👏👍
A new release of the DoubleML package for #Python is out - implementing various #CausalMachineLearning estimators - now including difference-in-differences 👇
It also contains a #marketing data set recently analysed by #CausalMachineLearning, see journals.plos.org/plosone/articl…
What is #CausalMachineLearning? by Kenneth Styppa link.medium.com/ZHlkAGakFyb
link.medium.com
What is Causal Machine Learning?
A Gentle Guide to Causal Inference with Machine Learning Pt. 2
Exciting news! My book "#CausalAnalysis: Impact Evaluation and #CausalMachineLearning with Applications in R" will be published by @mitpress on August 1st: mitpress.mit.edu/9780262545914/… #EconTwitter #EpiTwitter #CausalTwitter #StatsTwitter #RStats #DataScience
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