David Benkeser
@biosbenk
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Assist. Prof. Biostat @EmoryRollins. he/him. machine learning. causal inference. vaccines. data science. all views mine. all math done bored on conference call.
ATL, GA
Joined August 2020
In academia, you meet a lot of smart people. But even in that crowd, the intellect of some people stands out. Cecile was one of the people. Couple that with a deep compassion for students and it is hard to express what a sad loss this is for our community.
Cecile passed away on September 8th 2022. She embraced life untill the end. We will never forget her.
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No no no. Intercept-only logistic regression *is* machine learning.
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Is there a word in German for “having a paper rejected and a positive Covid test within 1 minute of one another”? Kränklichetraurigkeitablehnung?
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Follow me during paternity leave for more terrible, sleep-deprived stats/parenting jokes!
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Parents are all out here trying to lengthen that right tail… more kurtosis please!
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Next time I need uniform random numbers generated, I will just bootstrap the distribution of nap lengths from my three month old.
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In case anyone was wondering, making stuffed animals headbang to Metallica is in fact high entertainment to 3 month olds.
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Just taught a class using the RStudio IDE for the first time in years and…still don’t love it. I know I may be a dying breed but like omg let me choose my own file extension.
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Epidemiology, beyond its limits! Check out our new paper just in time for #SER2022. https://t.co/KrQjOn1N3a Crowd-sourced by @EmoryEPI PhD students we systematically reviewed the evidence base for the 53 examples of doubtful associations cited by journalist, Gary Taubes. 🧵
science.org
Many examples used in Taubes’ influential 1995 article to denigrate epidemiology now have important public health implications.
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https://t.co/EWMaKjEi88 New work lead by Ziyue Wu @ZiyueWu44618978 and @biosbenk with help from Patrick Heagerty and (minimally) me. Healthcare costs are notoriously difficult to model owing to both zero inflation and extreme values.
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The tone and typical topics discussed on academic twitter (where names are public) vs. academic subreddits (where names generally aren’t) is fascinating to me.
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Who are people doing the coolest #datascience stuff right now? I want to start each of my classes in the fall highlighting someone who is making a difference in the world with data sci. Particularly interested in representing a diverse group of folks. #rstats
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Job opportunity for a program coordinator with the newly funded Emory/Georgia Tuberculosis Research Advancement Center (TRAC). Great opportunity to contribute to local and international TB research! https://t.co/SDCqh1TRrp
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@benjamin_risk just got an R01 to flesh out these approaches. It’s very exciting stuff! Come work with us! Maybe Taki can buy you scotch too! /end
Post-doc opportunity! Come work with @benjamin_risk and me on #causalinference methods for neuroimaging! Please RT and reach out if questions! #causaltwitter #statstwitter #epitwitter
https://t.co/wSpgdpU2Zp
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Applying the method revealed more differences in neural connections comparing children with ASD to their typically developing peers. The paper has lots of pretty pictures 😍 check it out! 11/
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We use ideas from causal inference + doubly robust, machine learning-based estimators {drtmle} to describe an approach for determining whether and how we can correct for these exclusions. 10/
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Rather than studying a whole range of kids with ASD, we may be focusing attention on just one type of kid. For example, we may be uniformly leaving out kids with more severe forms of ASD. 9/
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