Almut Winterstein
@AlmutWinterste1
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Joined May 2019
So glad this is out. Thank you to my co-authors who donated their time to this important work: @yanningwang @skr9skr9 @clewig @NicoleSmolinski
This cross-sectional study investigates the prevalence of prenatal exposure to teratogenic medications and of prenatal care initiation across gestational weeks relative to common timing cutoffs for legal abortion.
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Awesome faculty, staff and students, great resources and a brand-new building. Happy to chat about this great opportunity (. Please spread the word.
The University of Florida Department of Pharmaceutical Outcomes and Policy has opened the search for its next chair.
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Join us for the upcoming live webcast with @cmeoutfitters to support the mycophenolate REMS implementation. Tune in 11/08 at 6:30 PM ET & earn 1 free #CME/CE credit. There is a need to enhance prevention of prenatal exposure
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The two newest PhDs delivered to science! Undoubtedly the most rewarding aspect of my work. Congratulations to @Amir_Sarayani and @thuynthai You both will be fantastic!
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@VouriPharmD @UFHealth @UFPharmacy @UFCoDES Very cool position with lots of opportunities for research.
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Very important course in the Pharmacoepidemiology menu: if one looks forward to make exposure assignments there is a chance one created bias. So easy to do...
@_MiguelHernan /12 Paper #8: On the perils of immortal time bias and other time-related biases in pharmacoepidemiology - Suissa and Dell’Aniello review time-related biases and demonstrate their impact using a cohort of patients treated for COPD.
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The scientific method and both clinical trial and observational study design rely on these principles.
/9 Paper #5: What aspects of an association should you examine before making conjectures about the possibility that this association may in fact reflect a causal mechanism? A short (yet clever and timeless!) classic.
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We wrote this paper in December (before any emerging safety concerns). Updating it during the review process with that information was really troubling. Noteworthy, good old spontaneous reporting found safety issues first, not our sophisticated real-world data. A lot to do...
New publication by #almutwinterste1 and colleagues on the global #COVID19 #vaccines safety infrastructure. Global covid-19 vaccine rollout and safety surveillance—how to keep pace
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An example for this would be the "and there could be residual confounding and therefore my findings may be meaningless" disclaimer. Address residual confounding instead? Could it explain your results? Under what circumstances?
@ken_rothman /7 Paper #3: If your goal is to establish causality, don't hide it! In this paper, @_MiguelHernan makes a strong and important plea for more transparency and honesty in observational research.
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Thank you for the warm wishes.
Congratulations to these #UFPharmacy faculty who have earned promotion and/or tenure! @JohnAllenPharmD @corevalues5 @jennyciganic @AlmutWinterste1
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Trying to figure out which risk mitigation approaches actually work - one study at a time. FDA, we need more on this to make evidence-based policy decisions.
.@US_FDA took unusual action in removing uncomplicated infections from fluoroquinolones’ labeling indications. A @UF study in @JAMAInternalMed shows it helped reduce the antibiotics’ ubiquitous use, which has harmful side effects. @AlmutWinterste1 @UFCoDES
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This is why we keep going. Congratulations!
Grateful for the opportunity to do this important research!
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Congratulations to great work. And I can attest there is no other correlation with anything that has to do with 45.
Being cited 46th would have been more poetic, but exCITEd to see our @CDCMMWR work on fentanyl referenced by @ONDCP @yanningwang
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That’s what I call committed. 😀But seriously, UF’s AI initiative affords us now faculty hiring opportunities. Contact me if interested.
University of Florida to replace administration with artificial intelligence supercomputer. #GatorAI
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We are still recruiting faculty though! Please reach out if interested!
University of Florida to replace administration with artificial intelligence supercomputer. #GatorAI
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This would be the “what should everyone know before attempting causal inference studies on drug effects” bibliography. Might be hard to squeeze this in 25 papers, but let’s see where we end up!
Must-read pharmacoepi papers!? 🤓 We are a group of pharmacoepi experts putting together a list of "top-25 papers you should read if you are an early-career pharmacoepidemiologist". Can you give us a hand? What papers should we consider? More details below 👇 #epitwitter
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