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Magnitude and severity of recent disease experiences most significant in predicting cautious behaviour during the flu season - https://arxiv.org/abs/2002.00671 - novel survey analysis from
@gozzi_nicolo,@PerrottaDaniela ,@danielapaolotti ,@net_scienceHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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We are proud to announce Outbreak Science Rapid PREreview (http://outbreaksci.prereview.org ), a platform for the rapid review of outbreak-related preprints.
Please, help us spread the word!
#openscience#preprint#ASAPbio#outbreaksciencehttp://blog.prereview.org/an-open-platform-for-the-rapid-review-of-outbreak-related-preprints/ …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Cool new result in protein design. Multitask from large data to small - transfer learning from a general protein representation to one tailored to a particular function of interest.https://twitter.com/grigonomics/status/1220768850834284544 …
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This action raises the obvious question: is it not our duty to do this for all research on disease?
#OpenResearchNowhttps://twitter.com/richardhorton1/status/1223228898437148673 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Amazing story from Paul Volcker's memoir . . .the 1971 Nixon shock was supposed to include US withdrawal from the 1965 auto pact with Canada. . . but a State Dept official tore off the last page of the press release mentioning it and it was forgotten!pic.twitter.com/GEmdwatvTT
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I call this Groucho's law: you should never work on any project for which can get funding. Tongue-in-cheek, but there's a grain of truth to it: the easier funding is to get, the more likely something like it would have happened anyway.
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I'm inclined to share a few thoughts on this (rather nauseating) news, having worked at Practice Fusion for a couple of yrs, though not when this episode occurred. As
@chrissyfarr notes, PF has become a bit of a cautionary tale. Perhaps there are useful lessons in that tale. 1/nhttps://twitter.com/chrissyfarr/status/1221949163434233857 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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EHR vendor "gets kickbacks from a major opioid company in exchange for utilizing its software to influence physician prescribing of opioid pain medications"https://www.justice.gov/opa/pr/electronic-health-records-vendor-pay-145-million-resolve-criminal-and-civil-investigations-0 …
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A month ago I tweeted an extensive review that
#sunscreens are not effective and may be counter productive. Now, alarming FDA report https://www.webmd.com/skin-problems-and-treatments/news/20200121/fda-skin-absorbs-dangerous-sunscreen-chemicals …https://twitter.com/Blagosklonny/status/1210924249222963200 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Jinshuo Dong (
@JinshuoD) wrote a nice blogpost thinking about how you might go about deriving differential privacy, and why if you did, you might end up thinking about hypothesis testing and end up with something like Gaussian Differential Privacy: https://dongjs.github.io/2019/01/15/Privacy.html … 1/3Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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Check out our paper on counterfactual policy evaluation! Estimation of weights is a binary classification problem _no matter the cardinality of treatment_. You can plug the weights into whatever doubly-robust method strikes your fancy.https://twitter.com/arjson/status/1214980625683353600 …
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<Obligatory new year recruiting pitch> I'm hiring a research scientist for my team at Lyft. We work at the intersection of causal inference and machine learning, developing tools for optimal decision making. Looking for folks with strong stats and causal inference backgrounds
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A nice thread & conversation. Can humans achieve the same results after some training?https://twitter.com/BrianRoemmele/status/1213860120058220546 …
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At their peak in 1980 illegal drugs accounted for 5 % of total personal consumption expenditure in US. An astonishing figure corroborated by contemporary estimates that cocaine sales peaked at $35bn in 1980. Rachel Soloveichik
@BEA_News https://www.bea.gov/system/files/papers/WP2019-4_4.pdf …pic.twitter.com/zrEh59MdGZ
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Our code and the weights of trained networks are publicly available for that reason. I hope that sharing the code will become a standard in the future. I believe that journals, especially the big ones, should require it. https://github.com/nyukat/breast_cancer_classifier … 7/N
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Adding few more to the list: I believe the following two papers introduces some new techniques for generalizing experimental findings within an environment. 1) https://www.aaai.org/ojs/index.php/AAAI/article/view/4141/4019 … 2) https://papers.nips.cc/paper/8155-learning-and-testing-causal-models-with-interventions … Apologies for my delayed response, am just getting active on twitter.
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Asked for a comparison of TMLE and double machine learning, this blog post comparing the two approaches in historical context came together quickly https://vanderlaan-lab.org/2019/12/24/cv-tmle-and-double-machine-learning/ …
#causalinference#statstwitter#epitwitter#machinelearninghttps://twitter.com/emaadmanzoor/status/1208924841316880385 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
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I used to think the EU's Right to be Forgotten was too vague, easily abused, and didn't do much for privacy. Now Google has released a detailed paper on 5 years of RTBF requests. Despite the paper's mild spin, the data suggests RTBF is working pretty well! https://elie.net/static/files/five-years-of-the-right-to-be-forgotten/five-years-of-the-right-to-be-forgotten-paper.pdf …
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Yes, we are hiring in Amsterdam!https://angel.co/company/deeptrace/jobs …
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Hydra is indeed lovely. Has anyone yet written a TydalCycles atop tone.js , it be the perfect thing to be able to combine it with hydrahttps://twitter.com/naoto_hieda/status/1208777906723414016 …
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- a framework for low-N protein engineering with data-efficient deep learning! Had a blast working with brilliant