Assistant Professor of Biostatistics working in causal inference, dynamic treatment regimes, personalized medicine, and semiparametric theory.

Minneapolis, MN
Joined July 2014
David Vock retweeted
Yuan Zhang, @docvock, @MeganPatrickPhD & Thomas A. Murray propose a method to deal with the two types of misspecification concomitantly, builds interactive models into modified parametric Q-learning with Murphy’s regret function myumi.ch/63n1m
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David Vock retweeted
Daniel Almirall & coauthors used a SMART to assess adding a prescription medication therapy management referral to a tobacco longitudinal care program for patients eligible for lung cancer screening who smoke & don't respond to early treatment myumi.ch/Pr7yb @d3_center
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RCT: A Tobacco Longitudinal Care (TLC) program with intensive counseling and combination nicotine replacement therapy is feasible, results in meaningful quit rates, and can be implemented without further modification in the Lung Cancer Screening setting. ja.ma/45mZSjs
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🚨#JSM23 attendees, giveaway alert! We are giving away one copy of 'Telling Stories with Data', signed (!!) by @RohanAlexander To enter, retweet this, you must be able to pick up the book on Wed. morning at the booth.
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Check out this collaborative work, led by Yuan Zhang, with @docvock @lfinestack and Thomas Murray @umnbiostat
.@MeganPatrickPhD & coauthors propose a modified Q-learning method to improve trajectory estimations of the multiple assessments required in sequential multiple assignment randomized trials when evaluating long term impacts of dynamic treatment regimes myumi.ch/5JbqV
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Jack Wolf and colleagues address the thorny question of how to perform analyses to detect heterogeneous treatment effects in clinical trials while controlling false positives. @PublicHealthUMN @SCTorg @_jackmwolf @umnbiostat @JSKoopmeiners @docvock journals.sagepub.com/doi/pdf…
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KBF awards for the first time the biennial Rousseeuw Prize for Statistics 2022 to 5 researchers for their research on causal inference in medicine and public health kbs-frb.be/en/one-million-do… @_MiguelHernan @CAUSALab @HarvardEPI @HarvardBiostats
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Just published for #ARM22: The PRINCE trial randomized access prescription drug monitoring programs to an EHR-integrated tool for the prescribing of opioids and PMDP queries went up. ja.ma/3te7SlZ #FollowUs
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WE DID IT! #SPHGrad〽️ – at Minneapolis, MN
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It’s super, super official now! Congratulations Dr ⁦@gracelyden⁩! 🎉👏🏼 Great job with the hood (and the mentorship) ⁦@docvock⁩!
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I think I might critique my colleagues to see who does the best job hooding their PhD graduates @docvock @MarizenRamirez @sarahgollust @EGolberstein @PeterHuckfeldt @RRHDr @PLutsey #SPHGrad
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Out today in Prev Sci: Our real-world application of a novel method (Q-learning) to the M-bridge trial! We estimate new rules for when/how to intervene on first-year college student drinking based on motives and binge frequency. link.springer.com/article/10… @docvock @MeganPatrickPhD
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"What is 'good' study design and what is 'bad' design? Context matters." – @docvock, @umnbiostat Associate Professor #SPHResearchDay
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3. Intra Portal Islet Auto Transplantation Independently Improves Quality of Life in Patients after Total Pancreatectomy and IAT in Patients with Chronic Refractory Pancreatitis @UMNSurgery, @umnmedschool #AmerSurg22
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David Vock retweeted
Kidney transplant recipients are at high risk for death from cardiovascular disease, but are often excluded from studies on minimizing this risk. This Perspective calls for more research into the treatment of heart disease in this population bit.ly/j2021111517 @mannonmom
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Looking at correlated chemical mixtures? Lots of proposed extensions and mods to WQS, but this new method tackles data splitting. Dissertation from Dr. Smarty McSmarty Pants (AKA @gracelyden) 🥳! Great to work with her and @docvock. journals.sagepub.com/doi/10.…
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