| Propensity score methods for confounding control in nonexperimental research MA Brookhart, R Wyss, JB Layton, T Stürmer Circulation: Cardiovascular Quality and Outcomes 6 (5), 604-611, 2013 | 582 | 2013 |
| Propensity scores for confounder adjustment when assessing the effects of medical interventions using nonexperimental study designs T Stürmer, R Wyss, RJ Glynn, MA Brookhart Journal of internal medicine 275 (6), 570-580, 2014 | 312 | 2014 |
| The role of prediction modeling in propensity score estimation: an evaluation of logistic regression, bCART, and the covariate-balancing propensity score R Wyss, AR Ellis, MA Brookhart, CJ Girman, M Jonsson Funk, R LoCasale, ... American journal of epidemiology 180 (6), 645-655, 2014 | 135 | 2014 |
| Variable selection for propensity score models when estimating treatment effects on multiple outcomes: a simulation study R Wyss, CJ Girman, RJ LoCasale, M Alan Brookhart, T Stürmer Pharmacoepidemiology and drug safety 22 (1), 77-85, 2013 | 107 | 2013 |
| Using super learner prediction modeling to improve high-dimensional propensity score estimation R Wyss, S Schneeweiss, M Van Der Laan, SD Lendle, C Ju, JM Franklin Epidemiology 29 (1), 96-106, 2018 | 93 | 2018 |
| Relative performance of propensity score matching strategies for subgroup analyses SV Wang, Y Jin, B Fireman, S Gruber, M He, R Wyss, HJ Shin, Y Ma, ... American journal of epidemiology 187 (8), 1799-1807, 2018 | 85 | 2018 |
| Propensity score weighting and trimming strategies for reducing variance and bias of treatment effect estimates: a simulation study T Stürmer, M Webster-Clark, JL Lund, R Wyss, AR Ellis, M Lunt, ... American journal of epidemiology 190 (8), 1659-1670, 2021 | 80 | 2021 |
| Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods C Ju, M Combs, SD Lendle, JM Franklin, R Wyss, S Schneeweiss, ... Journal of Applied Statistics 46 (12), 2216-2236, 2019 | 63 | 2019 |
| Scalable collaborative targeted learning for high-dimensional data C Ju, S Gruber, SD Lendle, A Chambaz, JM Franklin, R Wyss, ... Statistical methods in medical research 28 (2), 532-554, 2019 | 51* | 2019 |
| Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data C Ju, R Wyss, JM Franklin, S Schneeweiss, J Häggström, ... Statistical methods in medical research 28 (4), 1044-1063, 2019 | 47 | 2019 |
| Matching on the disease risk score in comparative effectiveness research of new treatments R Wyss, AR Ellis, MA Brookhart, M Jonsson Funk, CJ Girman, ... Pharmacoepidemiology and drug safety 24 (9), 951-961, 2015 | 39 | 2015 |
| A causal roadmap for generating high-quality real-world evidence LE Dang, S Gruber, H Lee, IJ Dahabreh, EA Stuart, BD Williamson, ... Journal of Clinical and Translational Science 7 (1), e212, 2023 | 36 | 2023 |
| Dupilumab and the risk of conjunctivitis and serious infection in patients with atopic dermatitis: A propensity score–matched cohort study MC Schneeweiss, SC Kim, R Wyss, S Schneeweiss, JF Merola Journal of the American Academy of Dermatology 84 (2), 300-311, 2021 | 30 | 2021 |
| Occurrence of inflammatory bowel disease in patients with chronic inflammatory skin diseases: a cohort study MC Schneeweiss, J Kirchgesner, R Wyss, Y Jin, C York, JF Merola, ... British Journal of Dermatology 187 (5), 692-703, 2022 | 29 | 2022 |
| Incidence of venous thromboembolism in patients with dermatologist-diagnosed chronic inflammatory skin diseases MC Schneeweiss, SC Kim, R Wyss, Y Jin, K Chin, JF Merola, ... JAMA dermatology 157 (7), 805-816, 2021 | 29 | 2021 |
| Reducing bias amplification in the presence of unmeasured confounding through out-of-sample estimation strategies for the disease risk score R Wyss, M Lunt, MA Brookhart, RJ Glynn, T Stürmer Journal of causal inference 2 (2), 131-146, 2014 | 27 | 2014 |
| 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 SV Wang, M He, Y Jin, R Wyss, HJ Shin, Y Ma, S Keeton, B Fireman, ... Pharmacoepidemiology and drug safety 26 (12), 1507-1512, 2017 | 24 | 2017 |
| Transparency of high‐dimensional propensity score analyses: guidance for diagnostics and reporting J Tazare, R Wyss, JM Franklin, L Smeeth, SJW Evans, SV Wang, ... Pharmacoepidemiology and Drug Safety 31 (4), 411-423, 2022 | 22 | 2022 |
| Controlling confounding by frailty when estimating influenza vaccine effectiveness using predictors of dependency in activities of daily living HT Zhang, LJ McGrath, R Wyss, AR Ellis, T Stürmer Pharmacoepidemiology and drug safety 26 (12), 1500-1506, 2017 | 22 | 2017 |
| Process guide for inferential studies using healthcare data from routine clinical practice to evaluate causal effects of drugs (PRINCIPLED): considerations from the FDA … RJ Desai, SV Wang, SK Sreedhara, L Zabotka, F Khosrow-Khavar, ... bmj 384, 2024 | 19 | 2024 |
Sebastian Schneeweiss, M.D., Sc.D.Professor of Medicine and Epidemiology, Harvard Medical SchoolAdresă de e-mail confirmată pe post.harvard.edu
