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  1. prije 14 minuta

    Checkout our latest blogpost

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  2. prije 31 minutu

    Hey how’s this for a great idea: CORRELATION NOT CAUSATION CORNER for oral health. We could start with recent reports linking periodontal disease and erectile dysfunction .......

    CORRELATION NOT CAUSATION CORNER Official data also shows UK is drinking less because in 2004 🔴Mark Zuckerberg set up Facebook 🔴10 new states joined EU 🔴Yasser Arafat died 🔴Do They Know It’s Christmas was Xmas No 1 embarrassing the drinks industry since 1989
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  3. prije 4 sata

    Quick noob question: I understand d-separated vars should be uncorrelated but does it work the other way around? ie If I observe a null relation btw two variables, (assume perfect parameter estimation) does this mean these vars are d-separated?

  4. prije 4 sata

    Again: Where is the control for the potential confound of preprints being prepared by the more able, more invested communicators, writing better and potentially more rigorous papers, which lead to more citations. — Gaping absence of in bio/neuro exposed.

    An analysis of more than 70,000 journal articles shows that papers with a received 49% more attention and 36% more citations than articles without one
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  5. prije 5 sati

    Looks like infectious disease epidemiology has e-values, different than VanderWeeles e-value. At first I thought I was going to read a thread about how much unobserved confounding was associated with Corona, but then...

    This preprint suggests "that a marine CoV affecting fish could be a possible source for the [novel Coronavirus ] recombination and evolution". Let's look at the evidence for this. In today's: How I stopped worrying and learned to love E-values 1/n
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  6. prije 16 sati

    Estimating closed-form mathematical models from a data corpus. A "Bayesian Machine Scientist." Revolutionary research from - Open source code at -

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  7. prije 17 sati

    CausalNex - python library to build bayesian causal networks with the ability to encode domain knowledge into the conditional dependencies. A great tool to analyze the impact of hypothetical treatments. -

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  8. prije 17 sati

    Regular bootstrap addresses sampling uncertainty in estimators. How to control for uncertainty from the stochastic nature of treatment received? A causal bootstrap by Guido Imbens and Konrad Menzel -

  9. prije 19 sati

    'To identify and mitigate discriminatory relationships in data, we need models that capture or account for the causal pathways that give rise to them'

  10. prije 23 sata

    📝 "Using Causal Inference to Improve the Uber User Experience” // Uber Engineering

  11. prije 23 sata

    Some by the experts from the industry. 🤣

    Official data shows that concerted industry action to promote is having an impact. The UK population is drinking less per head than thirty years ago, although there is still work to be done.
    1 reply 2 proslijeđena tweeta 7 korisnika označava da im se sviđa
  12. 4. velj

    tweeps: I'm searching for recent examples of publications that employ both a causal model in effect estimation and appeal to a causal mechanism in explanation of findings. Any scientific field of interest! (Retweet, pretty please?)

    1 proslijeđeni tweet 1 korisnik označava da mu se sviđa
  13. 4. velj

    Does this look legit? I mean I would have used hashtags if I were hiring for

    We're hiring a Sr. Data Scientist who specializes in experimentation and causal inference for the Experimentation Data Science team at Twitter. If you're interested, or know of someone would be, please check out the link or shoot me a DM to learn more.
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  14. 4. velj

    Watching live reporting on Iowa caucus and they just panned to a room of data scientists live coding to ask their opinion. Nothing gets non-math people into & statistics like election season does! Now is our time! This is our superbowl! 🤓

    1 reply 3 proslijeđena tweeta 10 korisnika označava da im se sviđa
  15. 3. velj

    Do you people also get confused and read "causal" instead of "casual" wherever the latter is written?

    7 replies 1 proslijeđeni tweet 56 korisnika označava da im se sviđa
  16. 3. velj

    FULL HOUSE - 60+ students & researchers are at LISER to see Prof. Martin Huber () present over 2 days in the Call 26: Winter School - 'Casual Mediation Analysis and Machine Learning' – mjesto: Maison des Sciences Humaines

    4 proslijeđena tweeta 10 korisnika označava da im se sviđa
  17. 2. velj

    I will be in Houston for from Feb 3rd to 6th. Don't forget to attend my talk at 3:30pm on 6th on Learning Individual Causal Effects from Networked Observational Data. Looking forward to meeting you there!

    1 reply 1 proslijeđeni tweet 11 korisnika označava da im se sviđa
  18. 1. velj

    When you can't establish temporal ordering.

    cancelled in
  19. 1. velj

    🤣

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  20. 31. sij

    New article in . and review Cook & Campbell’s 'threats to validity’ translating each to epidemiology with DAGs and examples, bridging a gap between social science and epidemiologic research

    1 reply 22 proslijeđena tweeta 52 korisnika označavaju da im se sviđa

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