I’m so excited! Past couple years, I’ve wanted to sit down & structurally* deconstuct Roland Fryer’s 2019 paper on racial difs in police use of force to use as a teaching example** re: #colliderbias. Alas life got in the way...1/
HT @l_farland
*analyze “structure” in a #DAGhttps://twitter.com/StableMarkets/status/1276276257790066694 …
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#ColliderBias^ is rampant in US disparities research that uses admin data like hospital claims, police records. Almost all non-random samples will differentially select by race & other imp factors ^a selection bias with a particular structure in#causalinference#DAGs 2/1 reply 1 retweet 18 likesShow this thread -
Side note: Dr. Chanelle Howe (
@BrownUniversity) and I explore a different type of selection bias in this@EpidemiologyLWW paper https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5985150/ … Structural selection bias* is EVERYwhere in health disparities, research, y’all! 3/1 reply 2 retweets 27 likesShow this thread -
*To understand the “structural” in structural selection bias, read this paper (
@_MiguelHernan, S. Hernandez-Diez, J. Robins). Then read it again. Like every few months. 4/ https://scholar.google.com/scholar?hl=en&as_sdt=0%2C34&q=structural+selection+bias+Miguel+Hernan&btnG=#d=gs_qabs&u=%23p%3DK8GJcDXvmOwJ …1 reply 0 retweets 7 likesShow this thread -
Anyway, I kept meaning to read this paper but never got around to it. But now some
#epitwitter-conversant poli sci folks seem to have done it! **even put fryer paper in syllabus in my social epi course in 2019 to make myself read it but it got pushed out by something else 5/1 reply 0 retweets 4 likesShow this thread -
So far, I’ve just read the
@FiveThirtyEight article by@laurabronner (see
thread). I like it bc there are graphics. Selection bias is hard, y’all. It’s not intuitive. That’s why I love the structural approach. But graphics help a lot too! 6/1 reply 1 retweet 8 likesShow this thread -
Even many smart experienced
#epitwitter don’t get structural selection bias and how it messes with interpretations of race/ethnicity and gender and immigrant and#LGBTQ coefficients in epidemiology. So im always looking for better ways to explain 7/2 replies 2 retweets 7 likesShow this thread -
Question for y’all: Do you find the graphical representation in the
@laurabronner@FiveThirtyEight article helpful? Illuminating of some aspect of selection bias DAGs don’t communicate well? How do you teach these concepts? 8/3 replies 0 retweets 4 likesShow this thread -
Also I’ll
@laurabronner article forever bc of footnote 2: “The term got its name because if you’re drawing a sloppy diagram of the directions in which you think causal effects go, the arrow heads pointing to one of the boxes in the diagram will collide. I wish I was kidding.”2 replies 1 retweet 10 likesShow this thread
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Replying to @laurabronner @WhitneyEpi
The "sloppy diagram" descriptor is amazing. I want to start just calling DAGs sloppy diagrams in my class.
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Yeah, solidly stealing this!!

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