Harvard Catalyst Profiles

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Sebastian Schneeweiss, Sc.D., M.D.

Co-Author

This page shows the publications co-authored by Sebastian Schneeweiss and Jessica Franklin.
Connection Strength

12.799
  1. Franklin JM, Glynn RJ, Suissa S, Schneeweiss S. Emulation Differences vs. Biases When Calibrating Real-World Evidence Findings Against Randomized Controlled Trials. Clin Pharmacol Ther. 2020 Apr; 107(4):735-737.
    View in: PubMed
    Score: 0.974
  2. Franklin JM, Pawar A, Martin D, Glynn RJ, Levenson M, Temple R, Schneeweiss S. Nonrandomized Real-World Evidence to Support Regulatory Decision Making: Process for a Randomized Trial Replication Project. Clin Pharmacol Ther. 2020 Apr; 107(4):817-826.
    View in: PubMed
    Score: 0.954
  3. Franklin JM, Glynn RJ, Martin D, Schneeweiss S. 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: 0.911
  4. Franklin JM, Donneyong MM, Desai RJ, Markson L, Girman CJ, McKay C, Patel MD, Mavros P, Schneeweiss S. Variation in adherence to medications across the healthcare system in two comparative effectiveness research cohorts. J Comp Eff Res. 2017 Oct; 6(7):613-625.
    View in: PubMed
    Score: 0.829
  5. Franklin JM, Schneeweiss S. When and How Can Real World Data Analyses Substitute for Randomized Controlled Trials? Clin Pharmacol Ther. 2017 Dec; 102(6):924-933.
    View in: PubMed
    Score: 0.826
  6. Schneeweiss S, Eddings W, Glynn RJ, Patorno E, Rassen J, Franklin JM. 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: 0.794
  7. Franklin JM, Eddings W, Austin PC, Stuart EA, Schneeweiss S. Comparing the performance of propensity score methods in healthcare database studies with rare outcomes. Stat Med. 2017 05 30; 36(12):1946-1963.
    View in: PubMed
    Score: 0.792
  8. Franklin JM, Eddings W, Glynn RJ, Schneeweiss S. 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: 0.711
  9. Franklin JM, Rassen JA, Bartels DB, Schneeweiss S. Prospective cohort studies of newly marketed medications: using covariate data to inform the design of large-scale studies. Epidemiology. 2014 Jan; 25(1):126-33.
    View in: PubMed
    Score: 0.638
  10. Franklin JM, Rassen JA, Ackermann D, Bartels DB, Schneeweiss S. Metrics for covariate balance in cohort studies of causal effects. Stat Med. 2014 May 10; 33(10):1685-99.
    View in: PubMed
    Score: 0.635
  11. Schneeweiss S, Rassen JA, Glynn RJ, Myers J, Daniel GW, Singer J, Solomon DH, Kim S, Rothman KJ, Liu J, Avorn J. 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: 0.295
  12. Rassen JA, Shelat AA, Myers J, Glynn RJ, Rothman KJ, Schneeweiss S. One-to-many propensity score matching in cohort studies. Pharmacoepidemiol Drug Saf. 2012 May; 21 Suppl 2:69-80.
    View in: PubMed
    Score: 0.284
  13. Spoendlin J, Desai RJ, Franklin JM, Glynn RJ, Payne E, Schneeweiss S. Using Healthcare Databases to Replicate Trial Findings for Supplemental Indications: Adalimumab in Patients with Ulcerative Colitis. Clin Pharmacol Ther. 2020 Apr 22.
    View in: PubMed
    Score: 0.247
  14. Patorno E, Najafzadeh M, Pawar A, Franklin JM, Déruaz-Luyet A, Brodovicz KG, Santiago Ortiz AJ, Bessette LG, Kulldorff M, Schneeweiss S. The EMPagliflozin compaRative effectIveness and SafEty (EMPRISE) study programme: Design and exposure accrual for an evaluation of empagliflozin in routine clinical care. Endocrinol Diabetes Metab. 2020 Jan; 3(1):e00103.
    View in: PubMed
    Score: 0.240
  15. Patorno E, Schneeweiss S, Gopalakrishnan C, Martin D, Franklin JM. Using Real-World Data to Predict Findings of an Ongoing Phase IV Cardiovascular Outcome Trial: Cardiovascular Safety of Linagliptin Versus Glimepiride. Diabetes Care. 2019 12; 42(12):2204-2210.
    View in: PubMed
    Score: 0.233
  16. Patorno E, Pawar A, Franklin JM, Najafzadeh M, Déruaz-Luyet A, Brodovicz KG, Sambevski S, Bessette LG, Santiago Ortiz AJ, Kulldorff M, Schneeweiss S. Empagliflozin and the Risk of Heart Failure Hospitalization in Routine Clinical Care. Circulation. 2019 06 18; 139(25):2822-2830.
    View in: PubMed
    Score: 0.230
  17. Schneeweiss S, Gopalakrishnan C, Bartels DB, Franklin JM, Zint K, Kulldorff M, Huybrechts KF. Sequential Monitoring of the Comparative Effectiveness and Safety of Dabigatran in Routine Care. Circ Cardiovasc Qual Outcomes. 2019 02; 12(2):e005173.
    View in: PubMed
    Score: 0.227
  18. Huybrechts KF, Gopalakrishnan C, Franklin JM, Zint K, Franca LR, Bartels DB, Landon J, Schneeweiss S. Claims Data Studies of Direct Oral Anticoagulants Can Achieve Balance in Important Clinical Parameters Only Observable in Electronic Health Records. Clin Pharmacol Ther. 2019 04; 105(4):979-993.
    View in: PubMed
    Score: 0.223
  19. Patorno E, Gopalakrishnan C, Franklin JM, Brodovicz KG, Masso-Gonzalez E, Bartels DB, Liu J, Schneeweiss S. Claims-based studies of oral glucose-lowering medications can achieve balance in critical clinical variables only observed in electronic health records. Diabetes Obes Metab. 2018 04; 20(4):974-984.
    View in: PubMed
    Score: 0.211
  20. Wyss R, Schneeweiss S, van der Laan M, Lendle SD, Ju C, Franklin JM. Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation. Epidemiology. 2018 01; 29(1):96-106.
    View in: PubMed
    Score: 0.210
  21. Franklin JM, Schneeweiss S, Solomon DH. Assessment of Confounders in Comparative Effectiveness Studies From Secondary Databases. Am J Epidemiol. 2017 03 15; 185(6):474-478.
    View in: PubMed
    Score: 0.199
  22. Franklin JM, Eddings W, Schneeweiss S, Rassen JA. Incorporating linked healthcare claims to improve confounding control in a study of in-hospital medication use. Drug Saf. 2015 Jun; 38(6):589-600.
    View in: PubMed
    Score: 0.176
  23. Franklin JM, Schneeweiss S, Huybrechts KF, Glynn RJ. Evaluating possible confounding by prescriber in comparative effectiveness research. Epidemiology. 2015 Mar; 26(2):238-41.
    View in: PubMed
    Score: 0.173
  24. Kim SC, Solomon DH, Liu J, Franklin JM, Glynn RJ, Schneeweiss S. 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: 0.170
  25. Franklin JM, Choudhry NK, Uscher-Pines L, Brill G, Matlin OS, Fischer MA, Schneeweiss S, Avorn J, Brennan TA, Shrank WH. Equity in the receipt of oseltamivir in the United States during the H1N1 pandemic. Am J Public Health. 2014 Jun; 104(6):1052-8.
    View in: PubMed
    Score: 0.163
  26. Franklin JM, Schneeweiss S, Polinski JM, Rassen JA. Plasmode simulation for the evaluation of pharmacoepidemiologic methods in complex healthcare databases. Comput Stat Data Anal. 2014 Apr; 72:219-226.
    View in: PubMed
    Score: 0.162
  27. Huybrechts KF, Gerhard T, Franklin JM, Levin R, Crystal S, Schneeweiss S. Instrumental variable applications using nursing home prescribing preferences in comparative effectiveness research. Pharmacoepidemiol Drug Saf. 2014 Aug; 23(8):830-8.
    View in: PubMed
    Score: 0.162
  28. Kim SC, Schmidt BM, Franklin JM, Liu J, Solomon DH, Schneeweiss S. Clinical and health care use characteristics of patients newly starting allopurinol, febuxostat, and colchicine for the treatment of gout. Arthritis Care Res (Hoboken). 2013 Dec; 65(12):2008-14.
    View in: PubMed
    Score: 0.158
  29. Patrick AR, Franklin JM, Weinstein MC, Glynn RJ, Schneeweiss S. 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: 0.155
  30. Rassen JA, Shelat AA, Franklin JM, Glynn RJ, Solomon DH, Schneeweiss S. Matching by propensity score in cohort studies with three treatment groups. Epidemiology. 2013 May; 24(3):401-9.
    View in: PubMed
    Score: 0.152
  31. Kim SC, Schneeweiss S, Myers JA, Liu J, Solomon DH. No differences in cancer screening rates in patients with rheumatoid arthritis compared to the general population. Arthritis Rheum. 2012 Oct; 64(10):3076-82.
    View in: PubMed
    Score: 0.073
  32. Myers JA, Rassen JA, Gagne JJ, Huybrechts KF, Schneeweiss S, Rothman KJ, Joffe MM, Glynn RJ. 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: 0.068
  33. Wyss R, Gagne JJ, Zhao Y, Zhou EH, Major JM, Wang SV, Desai RJ, Franklin JM, Schneeweiss S, Toh S, Johnson M, Fireman B. Use of Time-Dependent Propensity Scores to Adjust Hazard Ratio Estimates in Cohort Studies with Differential Depletion of Susceptibles. Epidemiology. 2020 Jan; 31(1):82-89.
    View in: PubMed
    Score: 0.060
  34. Gopalakrishnan C, Gagne JJ, Sarpatwari A, Dejene SZ, Dutcher SK, Levin R, Franklin JM, Schneeweiss S, Desai RJ. Evaluation of Socioeconomic Status Indicators for Confounding Adjustment in Observational Studies of Medication Use. Clin Pharmacol Ther. 2019 06; 105(6):1513-1521.
    View in: PubMed
    Score: 0.057
  35. Wang SV, Huybrechts KF, Fischer MA, Franklin JM, Glynn RJ, Schneeweiss S, Gagne JJ. 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: 0.053
  36. Ju C, Wyss R, Franklin JM, Schneeweiss S, Häggström J, van der Laan MJ. Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data. Stat Methods Med Res. 2019 04; 28(4):1044-1063.
    View in: PubMed
    Score: 0.052
  37. Ju C, Gruber S, Lendle SD, Chambaz A, Franklin JM, Wyss R, Schneeweiss S, van der Laan MJ. Scalable collaborative targeted learning for high-dimensional data. Stat Methods Med Res. 2019 02; 28(2):532-554.
    View in: PubMed
    Score: 0.052
  38. Wang SV, Franklin JM, Glynn RJ, Schneeweiss S, Eddings W, Gagne JJ. 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: 0.047
  39. Gagne JJ, Polinski JM, Rassen JA, Fischer MA, Seeger JD, Franklin JM, Liu J, Schneeweiss S, Choudhry NK. Selective Serotonin Reuptake Inhibitor Use and Perioperative Bleeding and Mortality in Patients Undergoing Coronary Artery Bypass Grafting: A Cohort Study. Drug Saf. 2015 Nov; 38(11):1075-82.
    View in: PubMed
    Score: 0.045
  40. Park Y, Franklin JM, Schneeweiss S, Levin R, Crystal S, Gerhard T, Huybrechts KF. Antipsychotics and mortality: adjusting for mortality risk scores to address confounding by terminal illness. J Am Geriatr Soc. 2015 Mar; 63(3):516-23.
    View in: PubMed
    Score: 0.043
  41. Bateman BT, Bykov K, Choudhry NK, Schneeweiss S, Gagne JJ, Polinski JM, Franklin JM, Doherty M, Fischer MA, Rassen JA. Type of stress ulcer prophylaxis and risk of nosocomial pneumonia in cardiac surgical patients: cohort study. BMJ. 2013 Sep 19; 347:f5416.
    View in: PubMed
    Score: 0.039
  42. Bateman BT, Rassen JA, Schneeweiss S, Bykov K, Franklin JM, Gagne JJ, Polinski JM, Liu J, Kulik A, Fischer MA, Choudhry NK. Adjuvant vancomycin for antibiotic prophylaxis and risk of Clostridium difficile infection after coronary artery bypass graft surgery. J Thorac Cardiovasc Surg. 2013 Aug; 146(2):472-8.
    View in: PubMed
    Score: 0.038
  43. Kulik A, Rassen JA, Myers J, Schneeweiss S, Gagne J, Polinski JM, Liu J, Fischer MA, Choudhry NK. Comparative effectiveness of preventative therapy for venous thromboembolism after coronary artery bypass graft surgery. Circ Cardiovasc Interv. 2012 Aug 01; 5(4):590-6.
    View in: PubMed
    Score: 0.036
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.