Citations (67)
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Lauren D. Liao, Yeyi Zhu, Amanda L. Ngo, Rana F. Chehab & Samuel D. Pimentel. (2024) Prioritizing Variables for Observational Study Design using the Joint Variable Importance Plot. The American Statistician 0:0, pages 1-9.
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Kan Chen, Siyu Heng, Qi Long & Bo Zhang. (2023) Testing Biased Randomization Assumptions and Quantifying Imperfect Matching and Residual Confounding in Matched Observational Studies. Journal of Computational and Graphical Statistics 32:2, pages 528-538.
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B. Zhang, D. S. Small, K. B. Lasater, M. McHugh, J. H. Silber & P. R. Rosenbaum. (2023) Matching One Sample According to Two Criteria in Observational Studies. Journal of the American Statistical Association 118:542, pages 1140-1151.
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Ruoqi Yu & Paul R. Rosenbaum. (2022) Graded Matching for Large Observational Studies. Journal of Computational and Graphical Statistics 31:4, pages 1406-1415.
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Yuyang Zhang & Bo Lu. (2022) Accounting for matching structure in post-matching analysis of observational studies. Communications in Statistics - Simulation and Computation 51:6, pages 3081-3099.
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Wei Wang, Dylan S. Small, Guy Cafri & Elizabeth W. Paxton. (2022) The Case-Control Approach Can be More Powerful for Matched Pair Observational Studies When the Outcome is Rare. The American Statistician 76:2, pages 117-123.
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Colin B. Fogarty, Kwonsang Lee, Rachel R. Kelz & Luke J. Keele. (2021) Biased Encouragements and Heterogeneous Effects in an Instrumental Variable Study of Emergency General Surgical Outcomes. Journal of the American Statistical Association 116:536, pages 1625-1636.
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Luke Keele & Dylan S. Small. (2021) Comparing Covariate Prioritization via Matching to Machine Learning Methods for Causal Inference Using Five Empirical Applications. The American Statistician 75:4, pages 355-363.
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Luke Keele, Matthew Lenard & Lindsay Page. (2021) Matching Methods for Clustered Observational Studies in Education. Journal of Research on Educational Effectiveness 14:3, pages 696-725.
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Magdalena Bennett, Juan Pablo Vielma & José R. Zubizarreta. (2020) Building Representative Matched Samples With Multi-Valued Treatments in Large Observational Studies. Journal of Computational and Graphical Statistics 29:4, pages 744-757.
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Samuel D. Pimentel & Rachel R. Kelz. (2020) Optimal Tradeoffs in Matched Designs Comparing US-Trained and Internationally Trained Surgeons. Journal of the American Statistical Association 115:532, pages 1675-1688.
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José R. Zubizarreta & Luke Keele. (2017) Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System. Journal of the American Statistical Association 112:518, pages 547-560.
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Paul R. Rosenbaum. (2017) Imposing Minimax and Quantile Constraints on Optimal Matching in Observational Studies. Journal of Computational and Graphical Statistics 26:1, pages 66-78.
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Samuel D. Pimentel, Dylan S. Small & Paul R. Rosenbaum. (2016) Constructed Second Control Groups and Attenuation of Unmeasured Biases. Journal of the American Statistical Association 111:515, pages 1157-1167.
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Articles from other publishers (53)
Samuel D Pimentel & Yaxuan Huang. (2024) Covariate-adaptive randomization inference in matched designs. Journal of the Royal Statistical Society Series B: Statistical Methodology.
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Caitlin B. Finn, James E. Sharpe, Lauren N. Krumeich, Sara P. Ginzberg, Jacqueline M. Soegaard Ballester, Jason K. Tong, Heather Wachtel, Douglas L. Fraker & Rachel R. Kelz. (2024) The use and costs of same-day surgery versus overnight admission for total thyroidectomy: A multi-state, all-payer analysis. Surgery 175:1, pages 207-214.
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Dan Soriano, Eli Ben-Michael, Peter J Bickel, Avi Feller & Samuel D Pimentel. (2023) Interpretable sensitivity analysis for balancing weights. Journal of the Royal Statistical Society Series A: Statistics in Society 186:4, pages 707-721.
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Ruoqi Yu. (2023) How Well Can Fine Balance Work for Covariate Balancing. Biometrics 79:3, pages 2346-2356.
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Julian Wolfson & Ashwini Venkatasubramaniam. (2023) Best (but often forgotten) Statistical Practices: Measuring Real-World Intervention Effectiveness using Electronic Health Data. The American Journal of Clinical Nutrition 118:1, pages 13-22.
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Luke J. Keele, Eli Ben-Michael, Avi Feller, Rachel Kelz & Luke Miratrix. (2023) Hospital quality risk standardization via approximate balancing weights. The Annals of Applied Statistics 17:2.
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David M. Vock, Erika S. Helgeson, Aidan F. Mullan, Naim S. Issa, Sujana Sanka, Alison C. Saiki, Kristin Mathson, Alanna M. Chamberlain, Andrew D. Rule & Arthur J. Matas. (2023) The Minnesota attributable risk of kidney donation (MARKD) study: a retrospective cohort study of long-term (> 50 year) outcomes after kidney donation compared to well-matched healthy controls. BMC Nephrology 24:1.
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Amanda K. Glazer & Samuel D. Pimentel. (2023) Robust inference for matching under rolling enrollment. Journal of Causal Inference 11:1.
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P R Rosenbaum & D B Rubin. (2023) Propensity scores in the design of observational studies for causal effects. Biometrika 110:1, pages 1-13.
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Yun Cai & Shuguang Zhang. (2023) Optimal matching for heterogeneous treatment effect estimation. JUSTC 53:7, pages 0707.
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Giancarlo Visconti. (2022) After the Flood: Disasters, Ideological Voting and Electoral Choices in Chile. Political Behavior 44:4, pages 1985-2004.
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Eric R. Cohn & José R. Zubizarreta. (2022) Profile Matching for the Generalization and Personalization of Causal Inferences. Epidemiology 33:5, pages 678-688.
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Owura Kuffuor, Giancarlo Visconti & Kayla M Young. (2022) Constructing generalizable geographic natural experiments. Research & Politics 9:3, pages 205316802211137.
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Miguel Carreras, Sofia Vera & Giancarlo Visconti. (2022) Who Does the Caring? Gender Disparities in COVID-19 Attitudes and Behaviors. Politics & Gender, pages 1-29.
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Ruoqi Yu. (2020) Evaluating and improving a matched comparison of antidepressants and bone density. Biometrics 77:4, pages 1276-1288.
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Ching Jin, Yifang Ma & Brian Uzzi. (2021) Scientific prizes and the extraordinary growth of scientific topics. Nature Communications 12:1.
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Fredrik Sävje, Michael J. Higgins & Jasjeet S. Sekhon. (2020) Generalized Full Matching. Political Analysis 29:4, pages 423-447.
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Abbey C. Sidebottom, Michael D. Miedema, Gretchen Benson, Marc Vacquier, Jeffrey J. VanWormer, Arthur Sillah, Rebecca Lindberg, Jackie L. Boucher & Steven M. Bradley. (2021) The impact of a population-based prevention program on cardiovascular events: Findings from the heart of new Ulm project. American Heart Journal 239, pages 38-51.
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Siyu Heng, Wendy P O'Meara, Ryan A Simmons & Dylan S Small. (2021) Relationship between changing malaria burden and low birth weight in sub-Saharan Africa: A difference-in-differences study via a pair-of-pairs approach. eLife 10.
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S R Howard & S D Pimentel. (2021) The uniform general signed rank test and its design sensitivity. Biometrika 108:2, pages 381-396.
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Luke Keele, Stephen O’Neill & Richard Grieve. (2021) Comparing the Performance of Statistical Adjustment Methods by Recovering the Experimental Benchmark from the REFLUX Trial. Medical Decision Making 41:3, pages 340-353.
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Jixian Wang. (2020) To use or not to use propensity score matching?. Pharmaceutical Statistics 20:1, pages 15-24.
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Bikram Karmakar & Dylan S. Small. (2020) Assessment of the extent of corroboration of an elaborate theory of a causal hypothesis using partial conjunctions of evidence factors. The Annals of Statistics 48:6.
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Ruifeng Chen, John P Pierce, Eric C Leas, Martha M White, Sheila Kealey, David R Strong, Dennis R Trinidad, Tarik Benmarhnia & Karen Messer. (2020) Use of Electronic Cigarettes to Aid Long-Term Smoking Cessation in the United States: Prospective Evidence From the PATH Cohort Study. American Journal of Epidemiology 189:12, pages 1529-1537.
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Giancarlo Visconti. (2019) Policy Preferences after Crime Victimization: Panel and Survey Evidence from Latin America. British Journal of Political Science 50:4, pages 1481-1495.
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Guy Cafri & Peter C. Austin. (2020) Propensity score methods for time‐dependent cluster confounding. Biometrical Journal 62:6, pages 1443-1462.
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Mark M. Fredrickson, Josh Errickson & Ben B. Hansen. (2020) Comment: Matching Methods for Observational Studies Derived from Large Administrative Databases. Statistical Science 35:3.
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Ruoqi Yu, Jeffrey H. Silber & Paul R. Rosenbaum. (2020) Matching Methods for Observational Studies Derived from Large Administrative Databases. Statistical Science 35:3.
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Heather A. Prentice, Wei Wang, Nigel Gupta, Monti Khatod & Elizabeth W. Paxton. (2020) Patients With a History of a Cardiac Implantable Electronic Device Have a Higher Likelihood of 90-Day Cardiac Events After Total Joint Arthroplasty: A Matched Cohort Study. Journal of the American Academy of Orthopaedic Surgeons 28:14, pages e612-e619.
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Daniel Molling, Brenda M. Vincent, Wyndy L. Wiitala, Gabriel J. Escobar, Timothy P. Hofer, Vincent X. Liu, Amy K. Rosen, Andrew M. RyanSarah Seelye & Hallie C. Prescott. (2020) Developing a template matching algorithm for benchmarking hospital performance in a diverse, integrated healthcare system. Medicine 99:24, pages e20385.
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Pavel S. Ruzankin. (2019) A Fast Algorithm for Maximal Propensity Score Matching. Methodology and Computing in Applied Probability 22:2, pages 477-495.
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Paul R. Rosenbaum. (2020) Modern Algorithms for Matching in Observational Studies. Annual Review of Statistics and Its Application 7:1, pages 143-176.
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Jeffrey H. Silber, Paul R. Rosenbaum, Bijan A. Niknam, Richard N. Ross, Joseph G. Reiter, Alexander S. Hill, Lauren L. Hochman, Sydney E. Brown, Alexander F. Arriaga, Rachel R. KelzLee A. Fleisher. (2020) Comparing Outcomes and Costs of Surgical Patients Treated at Major Teaching and Nonteaching Hospitals. Annals of Surgery 271:3, pages 412-421.
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Joseph D. Cooper, Wei Wang, Heather A. Prentice, Tadashi T. Funahashi & Gregory B. Maletis. (2019) The Association Between Tibial Slope and Revision Anterior Cruciate Ligament Reconstruction in Patients ≤21 Years Old: A Matched Case-Control Study Including 317 Revisions. The American Journal of Sports Medicine 47:14, pages 3330-3338.
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Guy Cafri, Wei Wang, Priscilla H Chan & Peter C Austin. (2018) A review and empirical comparison of causal inference methods for clustered observational data with application to the evaluation of the effectiveness of medical devices. Statistical Methods in Medical Research 28:10-11, pages 3142-3162.
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Jeffrey H. Silber, Paul R. Rosenbaum, Samuel D. Pimentel, Shawna Calhoun, Wei Wang, James E. Sharpe, Joseph G. Reiter, Shivani A. Shah, Lauren L. Hochman & Orit Even-Shoshan. (2019) Comparing Resource Use in Medical Admissions of Children With Complex Chronic Conditions. Medical Care 57:8, pages 615-624.
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Baeksan Yu, Hyejung Lim & Sean Kelly. (2019) Does receiving a school free lunch lead to a stigma effect? Evidence from a longitudinal analysis in South Korea. Social Psychology of Education.
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Baeksan Yu & Sean Kelly. (2019) The non-cognitive returns to vocational school tracking: South Korean evidence. International Journal of Educational Research 98, pages 379-394.
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Samuel D. Pimentel, Lindsay C. Page, Matthew Lenard & Luke Keele. (2018) Optimal multilevel matching using network flows: An application to a summer reading intervention. The Annals of Applied Statistics 12:3.
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Jeffrey H. Silber, Joseph G. Reiter, Paul R. Rosenbaum, Qingyuan Zhao, Dylan S. Small, Bijan A. Niknam, Alexander S. Hill, Lauren L. Hochman, Rachel R. Kelz & Lee A. Fleisher. (2018) Defining Multimorbidity in Older Surgical Patients. Medical Care 56:8, pages 701-710.
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Abbey C. Sidebottom, Arthur Sillah, David M. Vock, Michael D. Miedema, Raquel Pereira, Gretchen Benson, Rebecca Lindberg, Jackie L. Boucher, Thomas Knickelbine & Jeffrey J. VanWormer. (2018) Assessing the impact of the heart of New Ulm Project on cardiovascular disease risk factors: A population-based program to reduce cardiovascular disease. Preventive Medicine 112, pages 216-221.
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Christian Møller Dahl & Line Planck Kongstad. (2017) The costs of acute readmissions to a different hospital – Does the effect vary across provider types?. Social Science & Medicine 183, pages 116-125.
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