Explore tweets tagged as #CausalInference
Upgrade your #causalinference arsenal. A revision of our book "Causal Inference: What If" is available at https://t.co/3rrh0l8nFu Thanks to everyone who suggested improvements, reported typos, and proposed new citations and material. Enjoy the #WhatIfBook. Also, it's free.
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If you want some DiD-related stickers, just ask me when you see me! A new batch has just arrived! #rstats #Econometrics #causalinference
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Join our team as a 12-month PhD intern @ Roche (Basel)! ๐ง Project: Use causal inference & ML on proteomics to find causal drivers of Alzheimer's. For: 3rd-year PhD candidates #Genomics #MachineLearning #CausalInference #CompBio #Alzheimers See details & apply below โฌ๏ธ
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JAMA Guide to Statistics and Methods article discusses accounting for competing risks in clinical research. #CausalInference #MedTwitter #MedStats
https://t.co/CQq29N3ZWX
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September is in full swing! CAUSALab kicked off the semester with a team social welcoming new members to our lab. Here's to a fall season full of collaboration and exciting projects ahead! #causalinference #harvardchan #causalab
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Look whatโs arrived, fresh from the printers, just in time to travel with me to #JSM2024 ๐ https://t.co/HQnuOF0khg
@pengding00 @CRC_MathStats #causalinference
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Congrats to James Robins who was elected as part of the 2025 @InstMathStat fellows for "outstanding and sustained contributions to statistical theory and methods for #causalinference and semiparametrics, and for dedication to mentoring young statisticians."
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Interestingly, the proportion of PubMed hits which are classified as Randomised Controlled Trials (RCTs) seems to have peaked ~2010 and has been in decline since then #randomization #casuality #causalinference
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#statstab #403 {CarefullyCausal} Provides estimates, assumptions and diagnostics for fixed-exposure causal analyses Thoughts: Really nice package for beginners in causal inference and observational studies. #causalinference #observational #r #teaching
https://t.co/jTkDp96EFU
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Meet @pabloestradac, a Ph.D. candidate on the job market. His research focuses on Network Interference, #causalinference, and Applied Econometrics. His job market paper introduces a method to estimate spillover effects using nonrandom samples. Learn more ๐ โฌ๏ธ #EconTwitter
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New version of @LauraEllenDee and my paper on #CausalInference with unmeasured confounding variables to avoid #OmittedVariableBias in #Ecology is up on bioRxiv featuring fun new figures, tables summarizing models, and more https://t.co/SXCSEtGU6o
@biorxivpreprint
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๐จ New @GoogleDeepMind paper ๐๐จ๐๐ฎ๐ฌ๐ญ ๐๐๐ฐ๐๐ซ๐ ๐๐จ๐๐๐ฅ๐ข๐ง๐ ๐ฏ๐ข๐ ๐๐๐ฎ๐ฌ๐๐ฅ ๐๐ฎ๐๐ซ๐ข๐๐ฌ ๐ ๐ https://t.co/oCk5jGNYlj We tackle reward hackingโwhen RMs latch onto spurious cues (e.g. length, style) instead of true quality. #RLAIF #CausalInference ๐งตโฌ๏ธ
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๐๏ธ SAVE THE DATE: Sept. 16-17, 2024! We'll be exploring #AI and #CausalInference at the 4th Penn Conference on #BigData in #Biomedical & #PopulationHealth Sciences. Stay tuned for more information and registration details soon. #PennBIGDATA
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1/ That "immortal time" is so frequent in survival analyses for #causalinference is fascinating. Because "immortal time" doesn't exist in the data, *we* create it when misanalyzing data. Our paper https://t.co/2TYg6hHCZj summarizes why immortal time arises & how to prevent it.
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Get your #FoodIsMedicine dogma off my dark chocolate, daggone itโผ๏ธ Observational research in @bmj_latest is spawning claims about how dark chocolate is a "bittersweet remedy for diabetes risk." Cautions about #CausalInference gets lost in the media. https://t.co/EVfXqNCOYU
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#statstab #440 Computing Statistical Power for the Difference in Differences Design Thoughts: DiD studies are all the rage in Obs research. But how does the concept of power apply to them? #poweranalysis #DiD #causalinference #samplesize #observational
https://t.co/viUvpxFRl6
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