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Samuel D. Pimentel
Samuel D. Pimentel
Bestätigte E-Mail-Adresse bei berkeley.edu - Startseite
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Zitiert von
Zitiert von
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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
1432015
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
1232016
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
412015
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
372017
Large, Sparse Optimal Matching with R package rebalance
SD Pimentel
Observational Studies 2 (1), 4-23, 2016
312016
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
292023
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
292018
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
292016
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
162020
Variance-based sensitivity analysis for weighting estimators result in more informative bounds
M Huang, SD Pimentel
arXiv preprint arXiv:2208.01691, 2022
142022
The uniform general signed rank test and its design sensitivity
SR Howard, SD Pimentel
Biometrika 108 (2), 381-396, 2021
142021
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
122020
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
122019
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
82020
Covariate-adaptive randomization inference in matched designs
SD Pimentel, Y Huang
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024
72024
Choosing a clustering: an a posteriori method for social networks
SD Pimentel
Journal of Social Structure 15 (1), 1-21, 2014
72014
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
42017
Optimal tradeoffs in matching designs for observational studies
SD Pimentel, R Kelz
Unpublished manuscript, 2017
42017
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
42015
Design Sensitivity and Its Implications for Weighted Observational Studies
M Huang, D Soriano, SD Pimentel
arXiv preprint arXiv:2307.00093, 2023
32023
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