Marco Piccininni

28 posts

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Marco Piccininni

Marco Piccininni

@mpiccininni3

Biostatistician | PhD in Health Data Sciences

Berlin Katılım Mart 2019
74 Takip Edilen123 Takipçiler
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Triad sou.
Triad sou.@triadsou·
Using negative control populations to assess unmeasured confounding and direct effects. Piccininni, Marco; Stensrud, Mats Julius. Epidemiology. journals.lww.com/epidem/abstrac…
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Jan Scheitz 🧠⚡️❤️
Jan Scheitz 🧠⚡️❤️@Jan_FriSch·
Congratulations! Well-deserved @JLRohmann @mpiccininni3 @BerlinStroke Would like to highlight the more recent @BerlinStroke paper showing that #MSU dispatch is cost-effective - at least in the Berlin environment! onlinelibrary.wiley.com/doi/10.1002/an…
CSB@BerlinStroke

The #paperoftheyear 2022 goes to @JLRohmann @mpiccininni3, H. Audebert et al.! In their @ANA_journals paper they found that the benefit of mobile stroke unit dispatch on 3-mo. functional outcomes persists when considering the full spectrum of stroke/TIA patients. Congrats!🏆🎉🙌

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CSB
CSB@BerlinStroke·
The #paperoftheyear 2022 goes to @JLRohmann @mpiccininni3, H. Audebert et al.! In their @ANA_journals paper they found that the benefit of mobile stroke unit dispatch on 3-mo. functional outcomes persists when considering the full spectrum of stroke/TIA patients. Congrats!🏆🎉🙌
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Whitney R. Robinson
Whitney R. Robinson@WhitneyEpi·
Widespread of use race “corrections” in medical diagnosis got a lot of scrutiny recently But those are the tip of the iceberg: there are so many “corrections” and standardizations we do — bc we’ve always done them I don’t have an answer, but this is a deep convo we need to have
Bryan D. James, PhD@BryanDJames

1/ As @AmJEpi social media editor with @EpiEllie @ProfMattFox @LucyStats, I present a #tweetorial on: “Should Cognitive Screening Tests Be Corrected for Age and Education? Insights From a Causal Perspective” by @mpiccininni3 et al. #epitwitter doi.org/10.1093/aje/kw…

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Marco Piccininni
Marco Piccininni@mpiccininni3·
@BryanDJames 5/ That’s why, if you are interested in using X to predict D, you don’t want to remove this “helpful” information. Thanks to @BryanDJames for linking my talk at @bemcolloquium. I tried to give a more intuitive explanation, so eager to hear what you & interested others think! /end
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Marco Piccininni
Marco Piccininni@mpiccininni3·
@BryanDJames 4/ However, you can see that if A and E are confounders and their causal effects have specific directions (+/-), after removing confounding, the association between D and X becomes lower.
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