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 Shirley Wang.
Connection Strength

5.089
  1. Schneeweiss S, Rassen JA, Brown JS, Rothman KJ, Happe L, Arlett P, Dal Pan G, Goettsch W, Murk W, Wang SV. Graphical Depiction of Longitudinal Study Designs in Health Care Databases. Ann Intern Med. 2019 03 19; 170(6):398-406.
    View in: PubMed
    Score: 0.879
  2. Wang SV, Gagne JJ, Glynn RJ, Schneeweiss S. Case-crossover studies of therapeutics: design approaches to addressing time-varying prognosis in elderly populations. Epidemiology. 2013 May; 24(3):375-8.
    View in: PubMed
    Score: 0.586
  3. Patorno E, Schneeweiss S, Wang SV. Transparency in real-world evidence (RWE) studies to build confidence for decision-making: Reporting RWE research in diabetes. Diabetes Obes Metab. 2020 04; 22 Suppl 3:45-59.
    View in: PubMed
    Score: 0.237
  4. Desai RJ, Wang SV, Vaduganathan M, Evers T, Schneeweiss S. Comparison of Machine Learning Methods With Traditional Models for Use of Administrative Claims With Electronic Medical Records to Predict Heart Failure Outcomes. JAMA Netw Open. 2020 01 03; 3(1):e1918962.
    View in: PubMed
    Score: 0.233
  5. Desai RJ, Lin KJ, Patorno E, Barberio J, Lee M, Levin R, Evers T, Wang SV, Schneeweiss S. Development and Preliminary Validation of a Medicare Claims-Based Model to Predict Left Ventricular Ejection Fraction Class in Patients With Heart Failure. Circ Cardiovasc Qual Outcomes. 2018 12; 11(12):e004700.
    View in: PubMed
    Score: 0.216
  6. Wang SV, Maro JC, Baro E, Izem R, Dashevsky I, Rogers JR, Nguyen M, Gagne JJ, Patorno E, Huybrechts KF, Major JM, Zhou E, Reidy M, Cosgrove A, Schneeweiss S, Kulldorff M. Data Mining for Adverse Drug Events With a Propensity Score-matched Tree-based Scan Statistic. Epidemiology. 2018 11; 29(6):895-903.
    View in: PubMed
    Score: 0.214
  7. Wang SV, Schneeweiss S, Gagne JJ, Evers T, Gerlinger C, Desai R, Najafzadeh M. Using Real-World Data to Extrapolate Evidence From Randomized Controlled Trials. Clin Pharmacol Ther. 2019 05; 105(5):1156-1163.
    View in: PubMed
    Score: 0.213
  8. Wang SV, Jin Y, Fireman B, Gruber S, He M, Wyss R, Shin H, Ma Y, Keeton S, Karami S, Major JM, Schneeweiss S, Gagne JJ. Relative Performance of Propensity Score Matching Strategies for Subgroup Analyses. Am J Epidemiol. 2018 08 01; 187(8):1799-1807.
    View in: PubMed
    Score: 0.211
  9. Wang SV, Kulldorff M, Glynn RJ, Gagne JJ, Pottegård A, Rothman KJ, Schneeweiss S, Walker AM. Reuse of data sources to evaluate drug safety signals: When is it appropriate? Pharmacoepidemiol Drug Saf. 2018 06; 27(6):567-569.
    View in: PubMed
    Score: 0.207
  10. 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: 0.204
  11. Wang SV, He M, Jin Y, Wyss R, Shin H, Ma Y, Keeton S, Fireman B, Karami S, Major JM, Schneeweiss S, Gagne JJ. A review of the performance of different methods for propensity score matched subgroup analyses and a summary of their application in peer-reviewed research studies. Pharmacoepidemiol Drug Saf. 2017 Dec; 26(12):1507-1512.
    View in: PubMed
    Score: 0.199
  12. Wang SV, Schneeweiss S, Berger ML, Brown J, de Vries F, Douglas I, Gagne JJ, Gini R, Klungel O, Mullins CD, Nguyen MD, Rassen JA, Smeeth L, Sturkenboom M. Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0. Value Health. 2017 09; 20(8):1009-1022.
    View in: PubMed
    Score: 0.198
  13. Wang SV, Schneeweiss S, Berger ML, Brown J, de Vries F, Douglas I, Gagne JJ, Gini R, Klungel O, Mullins CD, Nguyen MD, Rassen JA, Smeeth L, Sturkenboom M. Reporting to Improve Reproducibility and Facilitate Validity Assessment for Healthcare Database Studies V1.0. Pharmacoepidemiol Drug Saf. 2017 09; 26(9):1018-1032.
    View in: PubMed
    Score: 0.198
  14. 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: 0.181
  15. Wang SV, Schneeweiss S, Rassen JA. Optimal matching ratios in drug safety surveillance. Epidemiology. 2014 Sep; 25(5):772-3.
    View in: PubMed
    Score: 0.161
  16. Wang SV, Schneeweiss S, Maclure M, Gagne JJ. "First-wave" bias when conducting active safety monitoring of newly marketed medications with outcome-indexed self-controlled designs. Am J Epidemiol. 2014 Sep 15; 180(6):636-44.
    View in: PubMed
    Score: 0.160
  17. Gagne JJ, Wang SV, Rassen JA, Schneeweiss S. A modular, prospective, semi-automated drug safety monitoring system for use in a distributed data environment. Pharmacoepidemiol Drug Saf. 2014 Jun; 23(6):619-27.
    View in: PubMed
    Score: 0.157
  18. Orsini LS, Monz B, Mullins CD, Van Brunt D, Daniel G, Eichler HG, Graff J, Guerino J, Berger M, Lederer NM, Jonsson P, Schneeweiss S, Wang SV, Crown W, Goettsch W, Willke RJ. Improving transparency to build trust in real-world secondary data studies for hypothesis testing-Why, what, and how: recommendations and a road map from the real-world evidence transparency initiative. Pharmacoepidemiol Drug Saf. 2020 11; 29(11):1504-1513.
    View in: PubMed
    Score: 0.061
  19. Orsini LS, Berger M, Crown W, Daniel G, Eichler HG, Goettsch W, Graff J, Guerino J, Jonsson P, Lederer NM, Monz B, Mullins CD, Schneeweiss S, Brunt DV, Wang SV, Willke RJ. Improving Transparency to Build Trust in Real-World Secondary Data Studies for Hypothesis Testing-Why, What, and How: Recommendations and a Road Map from the Real-World Evidence Transparency Initiative. Value Health. 2020 09; 23(9):1128-1136.
    View in: PubMed
    Score: 0.061
  20. Lee MP, Glynn RJ, Schneeweiss S, Lin KJ, Patorno E, Barberio J, Levin R, Evers T, Wang SV, Desai RJ. Risk Factors for Heart Failure with Preserved or Reduced Ejection Fraction Among Medicare Beneficiaries: Application of Competing Risks Analysis and Gradient Boosted Model. Clin Epidemiol. 2020; 12:607-616.
    View in: PubMed
    Score: 0.060
  21. 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 01; 31(1):82-89.
    View in: PubMed
    Score: 0.058
  22. Langan SM, Schmidt SAJ, Wing K, Ehrenstein V, Nicholls SG, Filion KB, Klungel O, Petersen I, Sørensen HT, Dixon WG, Guttmann A, Harron K, Hemkens LG, Moher D, Schneeweiss S, Smeeth L, Sturkenboom M, von Elm E, Wang SV, Benchimol EI. CMAJ. 2019 06 24; 191(25):E689-E708.
    View in: PubMed
    Score: 0.056
  23. Langan SM, Schmidt SA, Wing K, Ehrenstein V, Nicholls SG, Filion KB, Klungel O, Petersen I, Sorensen HT, Dixon WG, Guttmann A, Harron K, Hemkens LG, Moher D, Schneeweiss S, Smeeth L, Sturkenboom M, von Elm E, Wang SV, Benchimol EI. The reporting of studies conducted using observational routinely collected health data statement for pharmacoepidemiology (RECORD-PE). BMJ. 2018 Nov 14; 363:k3532.
    View in: PubMed
    Score: 0.054
  24. Hallas J, Wang SV, Gagne JJ, Schneeweiss S, Pratt N, Pottegård A. Hypothesis-free screening of large administrative databases for unsuspected drug-outcome associations. Eur J Epidemiol. 2018 Jun; 33(6):545-555.
    View in: PubMed
    Score: 0.051
  25. Najafzadeh M, Schneeweiss S, Choudhry NK, Wang SV, Gagne JJ. Simulation for Predicting Effectiveness and Safety of New Cardiovascular Drugs in Routine Care Populations. Clin Pharmacol Ther. 2018 11; 104(5):1008-1015.
    View in: PubMed
    Score: 0.051
  26. Berger ML, Sox H, Willke RJ, Brixner DL, Eichler HG, Goettsch W, Madigan D, Makady A, Schneeweiss S, Tarricone R, Wang SV, Watkins J, Mullins CD. Good Practices for Real-World Data Studies of Treatment and/or Comparative Effectiveness: Recommendations from the Joint ISPOR-ISPE Special Task Force on Real-World Evidence in Health Care Decision Making. Value Health. 2017 09; 20(8):1003-1008.
    View in: PubMed
    Score: 0.050
  27. Berger ML, Sox H, Willke RJ, Brixner DL, Eichler HG, Goettsch W, Madigan D, Makady A, Schneeweiss S, Tarricone R, Wang SV, Watkins J, Daniel Mullins C. Good practices for real-world data studies of treatment and/or comparative effectiveness: Recommendations from the joint ISPOR-ISPE Special Task Force on real-world evidence in health care decision making. Pharmacoepidemiol Drug Saf. 2017 Sep; 26(9):1033-1039.
    View in: PubMed
    Score: 0.049
  28. Patorno E, Wang SV, Schneeweiss S, Liu J, Bateman BT. Initiation patterns of statin therapy among adult patients undergoing intermediate to high-risk non-cardiac surgery. Pharmacoepidemiol Drug Saf. 2016 Jan; 25(1):64-72.
    View in: PubMed
    Score: 0.043
  29. Patorno E, Wang SV, Schneeweiss S, Liu J, Bateman BT. Patterns of ß-blocker initiation in patients undergoing intermediate to high-risk noncardiac surgery. Am Heart J. 2015 Oct; 170(4):812-820.e6.
    View in: PubMed
    Score: 0.043
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.