Edward H. Kennedy

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Ashley NaimiAssociate Professor, Department Epidemiology, Emory UniversityVerified email at emory.edu
Dylan SmallProfessor of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
Alan MishlerJ.P. Morgan AI ResearchVerified email at alanmishler.com
Matteo BonviniRutgers UniversityVerified email at stat.rutgers.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityVerified email at stat.cmu.edu
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Lisa M. BodnarProfessor of Epidemiology, University of PittsburghVerified email at edc.pitt.edu
Amanda CostonCarnegie Mellon UniversityVerified email at cs.cmu.edu
Alexandra ChouldechovaAssociate Professor of Statistics & Public Policy @ Heinz College, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Valerio BaćakAssociate Professor, School of Criminal Justice, Rutgers UniversityVerified email at rutgers.edu
Theodore J IwashynaJohns HopkinsVerified email at jhu.edu
Stephen R ColeProfessor of Epidemiology, UNC Chapel HillVerified email at unc.edu
Jeremy TaylorProfessor of Biostatistics, University of MichiganVerified email at umich.edu
Valérie Venturacarnegie mellon universityVerified email at stat.cmu.edu
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Luke KeeleUniversity of PennsylvaniaVerified email at uphs.upenn.edu
Nandita MitraProfessor of Biostatistics, University of PennsylvaniaVerified email at upenn.edu
Daniel ScharfsteinProfessor of Biostatistics, Johns Hopkins UniversityVerified email at jhu.edu
Max G'SellCarnegie Mellon UniversityVerified email at cmu.edu
Ian Waudby-SmithCarnegie Mellon UniversityVerified email at cmu.edu

Edward H. Kennedy

Associate Professor of Statistics & Data Science, Carnegie Mellon University

Verified email at stat.cmu.edu - Homepage

causal inference nonparametrics machine learning health & public policy


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An introduction to G methods AI Naimi, SR Cole, EH Kennedy International Journal of Epidemiology 46 (2), 756-762, 2017	276	2017
Non-parametric methods for doubly robust estimation of continuous treatment effects EH Kennedy, Z Ma, MD McHugh, DS Small Journal of the Royal Statistical Society: Series B 79 (4), 1229-1245, 2017	258	2017
Towards optimal doubly robust estimation of heterogeneous causal effects EH Kennedy Electronic Journal of Statistics 17 (2), 3008-3049, 2023	236	2023
Rate of false conviction of criminal defendants who are sentenced to death SR Gross, B O’Brien, C Hu, EH Kennedy Proceedings of the National Academy of Sciences 111 (20), 7230-7235, 2014	191	2014
Semiparametric theory and empirical processes in causal inference EH Kennedy Statistical Causal Inferences and Their Applications in Public Health …, 2016	171	2016
Reducing inappropriate urinary catheter use: A statewide effort MG Fakih, SR Watson, MT Greene, EH Kennedy, RN Olmsted, SL Krein, ... Archives of Internal Medicine 172 (3), 255-260, 2012	132	2012
Nonparametric causal effects based on incremental propensity score interventions EH Kennedy Journal of the American Statistical Association 114 (526), 645-656, 2019	113	2019
Intensive care unit admitting patterns in the Veterans Affairs health care system LM Chen, M Render, A Sales, EH Kennedy, W Wiitala, TP Hofer Archives of Internal Medicine 172 (16), 1220-1226, 2012	101	2012
Counterfactual risk assessments, evaluation, and fairness A Coston, A Mishler, EH Kennedy, A Chouldechova Proceedings of the ACM Conference on Fairness, Accountability, and …, 2019	98	2019
Improved cardiovascular risk prediction using nonparametric regression and electronic health record data EH Kennedy, WL Wiitala, RA Hayward, JB Sussman Medical Care 51 (3), 251-258, 2013	89	2013
Estimating hospital costs of catheter‐associated urinary tract infection EH Kennedy, MT Greene, S Saint Journal of Hospital Medicine 8 (9), 519-522, 2013	88	2013
Sharp instruments for classifying compliers and generalizing causal effects EH Kennedy, S Balakrishnan, M G'Sell Annals of Statistics 48 (4), 2008-2030, 2020	75	2020
Semiparametric doubly robust targeted double machine learning: a review EH Kennedy arXiv preprint arXiv:2203.06469, 2022	73	2022
Challenges in obtaining valid causal effect estimates with machine learning algorithms AI Naimi, A Mishler, EH Kennedy arXiv preprint arXiv:1711.07137, 2017	58*	2017
Introducing a population-based outcome measure to evaluate the effect of interventions to reduce catheter-associated urinary tract infection MG Fakih, M Todd Greene, EH Kennedy, JA Meddings, SL Krein, ... American Journal of Infection Control 40 (4), 359–364, 2012	58	2012
Fairness in risk assessment instruments: Post-processing to achieve counterfactual equalized odds A Mishler, EH Kennedy Proceedings of the ACM Conference on Fairness, Accountability, and …, 2020	55	2020
Robust causal inference with continuous instruments using the local instrumental variable curve EH Kennedy, SA Lorch, DS Small Journal of the Royal Statistical Society, Series B 81 (1), 121-143, 2019	54	2019
Preoperative metyrosine improves cardiovascular outcomes for patients undergoing surgery for pheochromocytoma and paraganglioma H Wachtel, EH Kennedy, S Zaheer, EK Bartlett, L Fishbein, RE Roses, ... Annals of Surgical Oncology 22 (3), 646–654, 2015	53	2015
Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes LM Bodnar, AR Cartus, SI Kirkpatrick, KP Himes, EH Kennedy, ... The American Journal of Clinical Nutrition 111 (6), 1235-1243, 2020	40	2020
Marginal structural models: An application to incarceration and marriage during young adulthood V Bacak, EH Kennedy Journal of Marriage and Family 77 (1), 112-125, 2015	40	2015

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