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UF DAISY 2020 —a workshop on transdisciplinary data science— has just started! See the program and watch it live streamed https://epidemiology.phhp.ufl.edu/people/faculty/core-faculty/mattia-prosperi/data-intelligence-systems-lab-disl/daisy2020/program/ …
@UFBioMed@UF@UFHealth@UFPHHP@FrancoisModave@simone__mariniHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mattia Prosperi proslijedio/la je Tweet
#Statistics thought of the day: Developing predictions from observational data such as#ehr informs one about PREVAILING outcomes of PREVAILING treatment strategies and has almost nothing to do with what happens if a DIFFERENT treatment were given to a patient.#causalinferenceHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Are preregistration and registered reports vulnerable to hacking?: Epidemiology https://journals.lww.com/epidem/Citation/publishahead/Are_preregistration_and_registered_reports.98440.aspx …
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GATTACA is as GATTACA does: https://www.dnanudge.com
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Mattia Prosperi proslijedio/la je Tweet
Google Dataset Search is now officially out of beta. "Dataset Search has indexed almost 25 million of these datasets, giving you a single place to search for datasets & find links to where the data is." Nice work, Natasha Noy and everyone else involved!https://blog.google/products/search/discovering-millions-datasets-web/ …
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Mattia Prosperi proslijedio/la je Tweet
Explainability is ML's Achilles heel. This paper https://www.google.com/search?q=%5BPDF%5D+The+Explanation+Game%3A+A+Formal+Framework+for+Interpretable+Machine+Learning&oq=%5BPDF%5D+The+Explanation+Game%3A+A+Formal+Framework+for+Interpretable+Machine+Learning&aqs=chrome..69i57.8236j0j7&sourceid=chrome&ie=UTF-8 … presents formal criteria & measures for various aspects of explainability. Its use of do-calculus gives readers immediate view of the data and assumptions needed to meet each of the criteria.
#BookofwhyPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Miguel Hernan (Harvard) talking about causal inference today at UF!
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Mattia Prosperi proslijedio/la je Tweet
1/12 Brdly spk, assuming one can infer the effect of an intervention when experimental data matching exactly this intervention is available is not surprising, causally-speaking. Why? There's no cross-rung inference, but a typical function approx exercise. This is Judea's main...https://twitter.com/kudkudakpl/status/1210582206646763520 …
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Mattia Prosperi proslijedio/la je Tweet
The Google AI mammogram paper is FLAWED. Want to learn why? AND why cancer screening is the LAST thing you should pick FIRST to work on with AI? Read this
#TWEETORIAL This is educational, I promisepic.twitter.com/W63Mr0N53l
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Mattia Prosperi proslijedio/la je Tweet
Researchers led by Profs. Morley Mao and
@DrKevinFu uncovered the first-ever attack on LiDAR systems in autonomous vehicles, allowing them to create fake obstacles.#EECS2019https://cse.engin.umich.edu/stories/new-attack-on-autonomous-vehicle-sensors-creates-fake-obstacles …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A lesson to learn, on Twitter especially.https://twitter.com/BrianNosek/status/1211780426869739520 …
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Mattia Prosperi proslijedio/la je Tweet
#4: Something more positive about machine learning? This 5-article series in Biostatistics about machine learning for causal inference written by early- and mid-career statisticianshttps://bit.ly/36TNwRs
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Re. A Call for Deep-learning Healthcare. Check out our new commentary at: https://journals.lww.com/epidem/Citation/publishahead/Re__A_Call_for_Deep_learning_Healthcare.98450.aspx …
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Mattia Prosperi proslijedio/la je Tweet
Finally,
@eliasbareinboim and I are able to share a working paper that we've been working on for quite a while now: "Causal Inference and Data-Fusion in Econometrics" https://causalai.net/r51.pdf
#DAG#CausalInference#Econometrics#DataScience#MachineLearning#AI 1/pic.twitter.com/fiIfHTxHBP
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Mattia Prosperi proslijedio/la je Tweet
Ten UK universities create reproducibility-focused senior roles:
@ukrepro initiative to tackle issues around openness and poor incentive culture in science gains vital “middle” layer in fight to boost research quality.@higherbaker reports https://bit.ly/38xyXVj pic.twitter.com/xKE8aZBkxT
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Mattia Prosperi proslijedio/la je Tweet
Are you still shaking off the holiday? I know I am! How about a
#cartooncausalinference#tweetorial about casual graphs to ease us into the new year?#epitwitter#DAGsfordocs#FOAMed#MedEd#statstwitter#econtwitterpic.twitter.com/SPfrntdfnpPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amazing example of mindful integration of causal modeling and machine learning together:https://www.nature.com/articles/s41746-019-0194-x?utm_campaign=NPJ_USG_DIGIMED&utm_source=Partner_community&utm_medium=Community_sites&utm_content=BenJoh-Nature-MultiJournal-Multidisciplinary-Global …
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Mattia Prosperi proslijedio/la je Tweet
Using deep learning to make better treatment decisions by eliminating biasing signals in lung cancer CT-scans https://npjdigitalmedcommunity.nature.com/users/334373-wouter-van-amsterdam/posts/56721-eliminating-biasing-signals-in-lung-cancer-images-and-how-to-use-deep-learning-to-make-better-treatment-decisions …
#DeepLearningHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Mattia Prosperi proslijedio/la je Tweet
“Inferential statistics as descriptive statistics” https://statmodeling.stat.columbia.edu/2019/12/11/inferential-statistics-as-descriptive-statistics/ …
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