Discover and read the best of Twitter Threads about #Causality

Most recents (15)

😯 The greatest fear that drives people away from causality is not about complexity

It's about something much simpler

🧵 (1/n)

#causality #causalinference #python #machinelearning #datascience #casualtwitter
If you ask people who have some knowledge about causality, but they never worked in the field, you can often hear that using causal methods in the real world is "too risky".

🧵 (2/n)
The number one reason for this are the dreaded "causal assumptions".

🧵 (3/n)
Read 14 tweets
@amanpour @kajakallas Canned meat distributed by the #Ukrainian #Nazi A. #Gramanchuk with fascist symbols such as the shield of the Ucronazi collabrs and the colors of the OUN-UPA, on the label it says: "#meat of Russian-speaking #babies"
Alluding to dead children in #Donbas
@amanpour @kajakallas Thread 19
FROM: #Marin in #Nazi -funeral #Ukraine | Mar 7, 2023
TO: #Kotsyubaylo eliminated | Mar 7, 2023
- when the #Americans visited the positions in #Avdiivka, he said that he was feeding the tamed #wolf "the #bones of #Russian-speaking #children.
Read 70 tweets
A journey which started in 2016 has led to the publication of the #PREPARE study in @TheLancet today. In this #randomised study, we show that a 12-gene panel can reduce #adverse_effects by 30%. authors.elsevier.com/c/1gX95V-4XHGbk @CDSS_Liverpool @pandtuol
A 30% reduction in adverse reactions from a single #intervention is remarkable. news.liverpool.ac.uk/2023/02/03/mat… #pharmacogenetics #personalisedmedicine #adverse_effects. The study was funded by the Horizon 2020 program by the @eu_comission
Led by @HenkJGuchelaar and @JesseSwen as part of the #UPGx consortium: upgx.eu. All #ADRs were assessed for #causality by the Liverpool Causality Assessment Tool (LCAT): journals.plos.org/plosone/articl…
Read 7 tweets
DoWhy 0.9 includes some exciting new extensions and features, including better sensitivity analyses, new identification algorithms, and more. I'm particularly excited to see so many new contributors joining in on this release!

#causality #causalinf #causaltwitter
Ezequiel Smucler (@hazqiyal) adds an identification algorithm to find optimal backdoor adjustment sets that yield estimators with smallest asymptotic variance
pywhy.org/dowhy/v0.9/exa…
Jeffrey Gleason adds e-value sensitivity analysis pywhy.org/dowhy/v0.9.1/e…

and Anusha0409 adds sensitivity analysis for non-parametric estimators: pywhy.org/dowhy/v0.9.1/e…
Read 8 tweets
My textbook with Kosuke Imai (@Harvard) is finally out!

Assuming no prior knowledge of statistics or coding and only minimal knowledge of math, DSS teaches the fundamentals of survey research, predictive models, and causal inference + how to analyze real-world data with R.

🧵.. Image
1/n: DSS is meant for complete beginners, regardless of whether they are in high school, in graduate school, or out of school altogether. #rstats #surveys #prediction #causality

Want to see for yourself? The first chapter is free here: bit.ly/dss_preview

Book outline: Image
2/n: We wrote DSS so that anyone could learn the skills we teach by following along with the exercises in the book on their own computer, without the help of an instructor. (Everything needed is either in the book or on the book's website.) #rstats #surveys #prediction #causality Image
Read 19 tweets
🚀 We are live! Here is the correct streaming link for all of today's discussions and performances, starting with a panel on complex time with David Krakauer, James Gleick, Ted Chiang, and David Wolpert in a few moments (measured linearly...):

#IPFest
"One of the ideas we had with #InterPlanetary was, 'What would it take to make science hedonistic? And instead of telling people to do it, you'd have to tell people to STOP doing it?"

- SFI President David Krakauer sets the tone for this weekend's celebrations
#IPFest Image
David Krakauer: "Do you have a favorite model or metaphor for #time?"

@JamesGleick: "You've already mentioned a river; that's everybody's favorite. Borges said time is a tiger. People talk about it as a thread. We ONLY talk about time in metaphors." Image
Read 141 tweets
9) Many risk factors modulate the propensity of LDL-C to traverse the endothelium and enter the arterial intima. See 🔓academic.oup.com/eurheartj/arti….
10) It now appears that the passage of #LDL into the #intima is not a merely passive process whereby the concentration in blood & the permeability of the endothelium determine LDL accumulation.
11) It’s #Transcytosis (an active process), through a vesicular pathway involving #caveolae, scavenger receptors (#SRB1) and activin like receptor kinase 1 (#ALK1). Hence for a given blood level of LDL-C the amount of atherosclerosis is variable.
Read 36 tweets
It's good to be back! Follow this thread for the video stream & live coverage of tonight's first SFI Community Lecture at @TheLensic in two years, featuring @Sara_Imari on the #physics of living #systems.
And stay tuned for an extraordinary lineup of additional talks this year...
Live stream starts in one minute!
SFI's @ChrisKempes introduces tonight's speaker @Sara_Imari (@sfiscience, @beyond_asu) by quoting #HaroldMorowitz about how, to find life beyond Earth, we must understand the *origins* of life...
Read 28 tweets
Daily Bookmarks to GAVNet 02/12/2021 greeneracresvaluenetwork.wordpress.com/2021/02/12/dai…
Large-scale commodity farming accelerating climate change in the Amazon

phys.org/news/2021-02-l…

#ClimateChange #forest #farm
Read 10 tweets
Tweetorial on our new paper, part 1: #Thyrotropin (#TSH) concentration is elevated in post-traumatic stress disorder (#PTSD), reflecting an elevated #setpoint of #pituitary-#thyroid feedback control. doi.org/10.3389/fendo.…
2 | TSH correlates to #allostatic load, measured by #SIQALS 2 score. Although #TSH rises, #FT4 and #FT3 concentration don't go down. Therefore, TSH doesn't reflect #hypothyroidism, but an increased setpoint due to type 2 #allostasis. frontiersin.org/articles/10.33…
3 | #Jostel's TSH index (#JTI) correlates to the #SIQALS 2 score for type 2 #allostatic_load in a large dataset of the #NHANES collective. This supports an elevated reference input (set point) of #thyroid #homeostasis in chronic #stress. doi.org/10.3389/fendo.…
Read 6 tweets
I am humbled and privilleged to note that my #Research paper; "Sources of #Unemployment in #Lesotho" is now available and can be accessed via the People's Republic of #China's National #Science and #Technology #Library - #NSTL. I give thanks 😎 Image
So far this year, I have successfully published three #Research articles in #Macroeconomics & #Finance, with another two in press. I am currently hammering away at a handful of working papers which will most certainly find a home in reputable #Journals, come 2021 🙏🏽🙂 Image
Im currently internalising the very insightful reviewer comments on my latest #Research paper titled; "Investigating Determinants of Commercial Bank Spreads in #Lesotho", from the good folks over at the globally reputable #International #Journal of #Finance & #Economics #IJFE 😊 ImageImage
Read 52 tweets
Immensely proud of bring of bringing some important aspects of #precision #proteomics to @NatureRevGenet with @ksuhre @markmccarthyoxf covering #gwas #pqtls and more nature.com/articles/s4157… @scilifelab @KTHresearch @ProteinAtlas
We provide insights into procedures, challenges, considerations and opportunities when combing #genetics and #proteomics for more informed, large scale studies of the circulating #proteome . #biobanks #olink #somalogic #massspec #affinityproteomics #epitopes #causality
Am very grateful to @ksuhre and @markmccarthyoxf for joining in on this journey and making this a wonderful experience over three continents, timezones, project and travel schedules!
Read 3 tweets
1/13 Hoje irei falar para vocês sobre dois conceitos que são menos independentes do que parecem para alguns: Causalidade e predição. Confesso que é até estranho tratá-las como duas coisas separadas, ou diferentes, e espero convencê-los ao... #IA #AI #ML #causality #bookofwhy
2/13 final dessa thread de que essa visão é fundamentada. Na década de 50, Jacob Yerushalmy realizou um estudo onde acompanhou 15 mil crianças da região da baía de São Francisco. Para surpresa de Yerushalmy, e contrariando o que já se mostrava forte na época (que fumar
3/13 fazia mal a saúde), seus resultados indicavam que bebês de mães fumantes nascidos com baixo peso tinham mais chances de sobreviver do que bebês de mães não fumantes nascidos com baixo peso. Não era um estudo de inferência causal, era apenas predição, alguns podem dizer.
Read 14 tweets

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