| Large, sparse optimal matching with refined covariate balance in an observational study of the health outcomes produced by new surgeons SD Pimentel, RR Kelz, JH Silber, PR Rosenbaum Journal of the American Statistical Association 110 (510), 515-527, 2015 | 142 | 2015 |
| Descriptive representation and judicial outcomes in multiethnic societies G Grossman, O Gazal‐Ayal, SD Pimentel, JM Weinstein American Journal of Political Science 60 (1), 44-69, 2016 | 122 | 2016 |
| Variable‐ratio matching with fine balance in a study of the Peer Health Exchange SD Pimentel, F Yoon, L Keele Statistics in medicine 34 (30), 4070-4082, 2015 | 41 | 2015 |
| Comparing international and United States undergraduate medical education and surgical outcomes using a refined balance matching methodology S Zaheer, SD Pimentel, KD Simmons, LE Kuo, J Datta, N Williams, ... Annals of surgery 265 (5), 916-922, 2017 | 37 | 2017 |
| Large, Sparse Optimal Matching with R package rebalance SD Pimentel Observational Studies 2 (1), 4-23, 2016 | 31 | 2016 |
| Optimal multilevel matching using network flows: An application to a summer reading intervention SD Pimentel, LC Page, M Lenard, L Keele The Annals of Applied Statistics 12 (3), 1479-1505, 2018 | 29 | 2018 |
| Constructed second control groups and attenuation of unmeasured biases SD Pimentel, DS Small, PR Rosenbaum Journal of the American Statistical Association 111 (515), 1157-1167, 2016 | 29 | 2016 |
| Interpretable sensitivity analysis for balancing weights D Soriano, E Ben-Michael, PJ Bickel, A Feller, SD Pimentel Journal of the Royal Statistical Society Series A: Statistics in Society 186 …, 2023 | 27 | 2023 |
| Optimal tradeoffs in matched designs comparing US-trained and internationally trained surgeons SD Pimentel, RR Kelz Journal of the American Statistical Association 115 (532), 1675-1688, 2020 | 15 | 2020 |
| The uniform general signed rank test and its design sensitivity SR Howard, SD Pimentel Biometrika 108 (2), 381-396, 2021 | 14 | 2021 |
| Variance-based sensitivity analysis for weighting estimators result in more informative bounds M Huang, SD Pimentel arXiv preprint arXiv:2208.01691, 2022 | 12 | 2022 |
| Stronger instruments and refined covariate balance in an observational study of the effectiveness of prompt admission to intensive care units L Keele, S Harris, SD Pimentel, R Grieve Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020 | 12 | 2020 |
| Comparing resource use in medical admissions of children with complex chronic conditions JH Silber, PR Rosenbaum, SD Pimentel, S Calhoun, W Wang, JE Sharpe, ... Medical care 57 (8), 615-624, 2019 | 12 | 2019 |
| Optimal matching approaches in health policy evaluations under rolling enrolment SD Pimentel, LV Forrow, J Gellar, J Li Journal of the Royal Statistical Society Series A: Statistics in Society 183 …, 2020 | 8 | 2020 |
| Covariate-adaptive randomization inference in matched designs SD Pimentel, Y Huang Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024 | 7 | 2024 |
| Choosing a clustering: an a posteriori method for social networks SD Pimentel Journal of Social Structure 15 (1), 1-21, 2014 | 7 | 2014 |
| An exact test of fit for the Gaussian linear model using optimal nonbipartite matching SD Pimentel, DS Small, PR Rosenbaum Technometrics 59 (3), 330-337, 2017 | 4 | 2017 |
| Optimal tradeoffs in matching designs for observational studies SD Pimentel, R Kelz Unpublished manuscript, 2017 | 4 | 2017 |
| Pimentel, SD Kelz, RR Silber, JH Large, sparse optimal matching with refined covariate balance in an observational study of the health outcomes produced by new surgeons SD Pimentel J. Am. Stat. Assoc 110, 515-527, 2015 | 4 | 2015 |
| Design Sensitivity and Its Implications for Weighted Observational Studies M Huang, D Soriano, SD Pimentel arXiv preprint arXiv:2307.00093, 2023 | 3 | 2023 |
Paul RosenbaumRobert G Putzel Professor Emeritus of Statistics & Data Science, Wharton School, U of Pennsylvaniaبريد إلكتروني تم التحقق منه على wharton.upenn.edu
