Read on Twitter
1/ re: @2plus2make5 et al’s paper on machine learning to improve x-ray as diagnostic tool for knee pain - Another great 
!
I’m RTing specifically bc indirectly shines light on the underappreciated brilliance of @sandylocks’s Intersectionality & @DrChandraFord et al’s PHCRP... https://twitter.com/drlukeor/status/1350294017603366915
!I’m RTing specifically bc
indirectly shines light on the underappreciated brilliance of @sandylocks’s Intersectionality & @DrChandraFord et al’s PHCRP... https://twitter.com/drlukeor/status/1350294017603366915
2/ Here’s the key tweet from :
@DrLukeOR is like, “Whoa! This isn’t just about improving prediction for Black patients up to same (mediocre) level we observe for White patients... This about making prediction substantially better for everyone!”
https://twitter.com/drlukeor/status/1350294137631719424
: @DrLukeOR is like, “Whoa! This isn’t just about improving prediction for Black patients up to same (mediocre) level we observe for White patients... This about making prediction substantially better for everyone!”
https://twitter.com/drlukeor/status/1350294137631719424
3/ Yes! Yes! Yes!
(This GIF is not directed specifically at @DrLukeOR, who wrote out a great thoughtful thread, but at the larger biomed & #epitwitter community)
(This GIF is not directed specifically at @DrLukeOR, who wrote out a great thoughtful thread, but at the larger biomed & #epitwitter community)
4/ I see Intersectionality especially referenced and taught a lot more now than I did 5 years ago...
5/ ... but Intersectionality is often interpreted at a superficial level, reducing the message to, “Jointly stratify by race & other social variables bc you might see worse outcomes than expected”...
6/ But key message for me is that considering multiple markers of social status (vs holding-all-else-equal approach) gives insights above & beyond the group examined:
7/...for instance, in employment, the experience of low-paid Black women vs other groups has potential to tell you MORE about how gender & SES work in general than narrow comparisons of well-paid White women vs. well-paid White men. We *expect* to gain insight beyond the sample
8/ And @DrChandraFord’s PHCRP (public health critical race praxis) develops this theme further: Centering the experience of the marginalized and improving systems to make them perform better for these groups usually improves the system overall. Period.
9/ This insight is a big reason I focus my work on Black American populations. Sure, I want to provide knowledge to help these communities (my community)...
10/ But, because Black people are fundamentally people, all the insights I gain in my research serve as cross-validations that enrich my understanding of systems & give me an advantage in predicting how things will unfold in new circumstances (eg, #COVID19)
11/11 Anyway, I love talking about this theoretical work. I still re-read these papers and gain insights. They are so rich and deep. We owe a lot to scholars like @sandylocks and @DrChandraFord and many others who have pointed the way for us all to do better work.
