Harvard Catalyst Profiles

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Robert James Glynn, Sc.D., Ph.D.

Co-Author

This page shows the publications co-authored by Robert Glynn and Jessica Franklin.
Connection Strength

3.211
  1. Evaluating possible confounding by prescriber in comparative effectiveness research. Epidemiology. 2015 Mar; 26(2):238-41.
    View in: PubMed
    Score: 0.626
  2. Effects of adjusting for instrumental variables on bias and precision of effect estimates. Am J Epidemiol. 2011 Dec 01; 174(11):1213-22.
    View in: PubMed
    Score: 0.248
  3. Real-World Evidence for Assessing Pharmaceutical Treatments in the Context of COVID-19. Clin Pharmacol Ther. 2021 04; 109(4):816-828.
    View in: PubMed
    Score: 0.237
  4. Emulating Randomized Clinical Trials With Nonrandomized Real-World Evidence Studies: First Results From the RCT DUPLICATE Initiative. Circulation. 2021 03 09; 143(10):1002-1013.
    View in: PubMed
    Score: 0.234
  5. Emulation Differences vs. Biases When Calibrating Real-World Evidence Findings Against Randomized Controlled Trials. Clin Pharmacol Ther. 2020 04; 107(4):735-737.
    View in: PubMed
    Score: 0.220
  6. Nonrandomized Real-World Evidence to Support Regulatory Decision Making: Process for a Randomized Trial Replication Project. Clin Pharmacol Ther. 2020 04; 107(4):817-826.
    View in: PubMed
    Score: 0.216
  7. Multinomial Extension of Propensity Score Trimming Methods: A Simulation Study. Am J Epidemiol. 2019 03 01; 188(3):609-616.
    View in: PubMed
    Score: 0.206
  8. Evaluating the Use of Nonrandomized Real-World Data Analyses for Regulatory Decision Making. Clin Pharmacol Ther. 2019 04; 105(4):867-877.
    View in: PubMed
    Score: 0.206
  9. Matching Weights to Simultaneously Compare Three Treatment Groups: Comparison to Three-way Matching. Epidemiology. 2017 05; 28(3):387-395.
    View in: PubMed
    Score: 0.182
  10. Variable Selection for Confounding Adjustment in High-dimensional Covariate Spaces When Analyzing Healthcare Databases. Epidemiology. 2017 03; 28(2):237-248.
    View in: PubMed
    Score: 0.180
  11. Regularized Regression Versus the High-Dimensional Propensity Score for Confounding Adjustment in Secondary Database Analyses. Am J Epidemiol. 2015 Oct 01; 182(7):651-9.
    View in: PubMed
    Score: 0.161
  12. Supplementing claims data with outpatient laboratory test results to improve confounding adjustment in effectiveness studies of lipid-lowering treatments. BMC Med Res Methodol. 2012 Nov 26; 12:180.
    View in: PubMed
    Score: 0.067
  13. A randomized study of how physicians interpret research funding disclosures. N Engl J Med. 2012 Sep 20; 367(12):1119-27.
    View in: PubMed
    Score: 0.066
  14. One-to-many propensity score matching in cohort studies. Pharmacoepidemiol Drug Saf. 2012 May; 21 Suppl 2:69-80.
    View in: PubMed
    Score: 0.064
  15. Using Healthcare Databases to Replicate Trial Findings for Supplemental Indications: Adalimumab in Patients with Ulcerative Colitis. Clin Pharmacol Ther. 2020 10; 108(4):874-884.
    View in: PubMed
    Score: 0.056
  16. Generalized boosted modeling to identify subgroups where effect of dabigatran versus warfarin may differ: An observational cohort study of patients with atrial fibrillation. Pharmacoepidemiol Drug Saf. 2018 04; 27(4):383-390.
    View in: PubMed
    Score: 0.048
  17. Association Between Patient-Centered Medical Homes and Adherence to Chronic Disease Medications: A Cohort Study. Ann Intern Med. 2017 Jan 17; 166(2):81-88.
    View in: PubMed
    Score: 0.044
  18. Prediction of rates of thromboembolic and major bleeding outcomes with dabigatran or warfarin among patients with atrial fibrillation: new initiator cohort study. BMJ. 2016 May 24; 353:i2607.
    View in: PubMed
    Score: 0.043
  19. Risk of venous thromboembolism in patients with rheumatoid arthritis: initiating disease-modifying antirheumatic drugs. Am J Med. 2015 May; 128(5):539.e7-17.
    View in: PubMed
    Score: 0.039
  20. Sequential value-of-information assessment for prospective drug safety monitoring using claims databases: the comparative safety of prasugrel v. clopidogrel. Med Decis Making. 2013 10; 33(7):949-60.
    View in: PubMed
    Score: 0.035
  21. Matching by propensity score in cohort studies with three treatment groups. Epidemiology. 2013 May; 24(3):401-9.
    View in: PubMed
    Score: 0.034
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.