Conducting EHR-based research? Does propensity score weighting seem like the right analytic approach but you don't know what to do about all that missing data? Check out our article on your options and their performance!
https://t.co/jEEC6yTcoQ
@jenbrea@PicnicHealth Intrigued by the idea of @PicnicHealth, but do you find that doctors are willing to access the portal to view the records, or do you still bring paper records to appointments?
@flatironhealth we're building a strong foundation of reproducible real-world evidence to improve the lives of cancer patients one analysis at a time. My amazing data science colleagues @InfectiousEcon and @jkraut03 wrote a blog post about how we do this. https://t.co/umXcaDcEdy
Ben Goldstein touches on informed presence in EHR data (related paper: https://t.co/JLHYHoi24z); number of measurements can say as much, or more, than the values themselves. Comment from @ArleneSAsh in the audience: "We used to weigh the chart" #JSM2018
Great collaboration with FOCR to do important benchmarking for RWE
"Advancing the Use of Real-World Evidence with a Noteworthy Industry Collaborative Pilot Project" via @FlatironHealth@dramyabernethy https://t.co/Eg6N2G6ctn
Sticking around for the last session of #JSM2018? Come see our invited session sponsored by HPSS on Statistical Challenges in the Analysis of EHR Data. Organized by @emsweene57, with talks from @DukeU, @ClevelandClinic , and @flatironhealth. 10:30 AM in CC-West 215/216
If you liked this tweet, you might also like my talk today at a #JSM2018 session on analyzing EHR data at 10:30am in CC-West 215/216. I just made a last-minute update to include this quote in my talk.
Rob Tibshirani: if someone shows you simulations that only show the superiority of their method, you should be suspicious. A good set of simulations will show where the method shines but also where it breaks. #jsm2018