Selected publications

(see arxiv or Google Scholar or CV for a full list)

Statistics:

• Schindl K, Shen S, Kennedy EH. Incremental effects for continuous exposures. ​arxiv.org:2409.11967  (slides)
  
  
• Balakrishnan S, Kennedy EH, Wasserman L. The fundamental limits of structure-agnostic functional estimation. 
  ​arxiv.org:2305.04116  (slides)
  
  
• Kennedy EH, Balakrishnan S, Robins JM, Wasserman L. Minimax rates for heterogeneous causal effect estimation. Annals of Statistics. ​arxiv.org:2203.00837 (slides)
  
  
• Das M, Kennedy EH. Doubly robust capture-recapture methods for estimating population size. Journal of the American Statistical Association. arxiv.org/abs/2104.14091 (slides)
  
  
• Kennedy EH, Balakrishnan S, Wasserman L. Semiparametric counterfactual density estimation. Biometrika. 
  arxiv.org:2102.12034 (slides)
  
  
• Kennedy EH. Towards optimal doubly robust estimation of heterogeneous causal effects. Electronic Journal of Statistics. ​arxiv.org:2004.14497 (slides)
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• Bonvini M, Kennedy EH. Sensitivity analysis via the proportion of unmeasured confounding. ​Journal of the American Statistical Association. arxiv.org/abs/1912.02793 (slides)
  
  
• Kennedy EH. Efficient nonparametric causal inference with missing exposure information. International Journal of Biostatistics.
  doi:10.1515/ijb-2019-0087 (arxiv.org:1802.08952) 
  
  
• Kennedy EH, Balakrishnan S, G'Sell M. Sharp instruments for classifying compliers and generalizing causal effects. Annals of Statistics. doi:1801.03635 (arxiv:1801.03635) (slides)
  
  
• ​Kennedy EH. Nonparametric causal effects based on incremental propensity score interventions. Journal of the American Statistical Association. doi:10.1080/01621459.2017.1422737 (arxiv:1704.00211) (slides)
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• Kennedy EH, Harris S, Keele LJ. Survivor-complier effects in the presence of selection on treatment, with application to a study of prompt ICU admission. Journal of the American Statistical Association. doi:10.1080/01621459.2018.1469990 
  ​(arxiv:1704.05706)
  
  
• Kennedy EH, Lorch SA, Small DS. Robust causal inference with continuous instruments using the local instrumental variable curve. Journal of the Royal Statistical Society: Series B. doi:10.1111/rssb.12300 (arxiv:1607.02566)
  
  
• Kennedy EH, Ma Z, McHugh MD, Small DS. Nonparametric methods for doubly robust estimation of continuous treatment effects. Journal of the Royal Statistical Society: Series B. doi:10.1111/rssb.12212 (arxiv:1507.00747)
  
  
• Kennedy EH, Sjolander A, Small DS. Semiparametric causal inference in matched cohort studies. Biometrika. 
  doi:10.1093/biomet/asv025 (pdf)

Reviews & Tutorials:

• Kennedy EH. Semiparametric doubly robust targeted double machine learning: a review. ​arxiv:2203:06469 (slides)
  
  
• Naimi AI, Cole SR, Kennedy EH. An introduction to G-methods. International Journal of Epidemiology. 2017; 46(2): 756-762. ​doi:10.1093/ije/dyw323
  
  
• Kennedy EH. Semiparametric theory and empirical processes in causal inference. In Statistical Causal Inferences and Their Applications in Public Health Research, edited by He H, Wu P, Chen D. New York: Springer. 2016; 141-167. doi:10.1007/978-3-319-41259-7 8 (arxiv:1510.04740) 

Health & Social Sciences:

• Nyhan B, et al. Like-minded sources on Facebook are prevalent but not polarizing. Nature. 2023; 620(7972): 137-144. doi:10.1038/s41586-023-06297-w
  
  
• Guess AM, et al. Reshares on social media amplify political news but do not detectably affect beliefs or opinions. Science. 2023; 381(6656): 404-408. doi:10.1126/science.add8424
  
  
• Guess AM, et al. How do social media feed algorithms affect attitudes and behavior in an election campaign? Science. 2023; 381(6656): 398-404. doi:10.1126/science.abp9364
  
  
• Kennedy TM, Kennedy EH, Ceballo, R. Marginal structural models for estimating the longitudinal effects of community violence exposure on youths’ internalizing and externalizing symptoms. Psychological Trauma: Theory, Research, Practice, & Policy. 2023; 15(6): 906–916. doi:10.1037/tra0001398
  
  
• Naimi AI, Mishler A, Kennedy EH. Challenges in obtaining valid causal effect estimates with machine learning algorithms. American Journal of Epidemiology. 2023; 192(9): 1536-1544. doi:10.1093/aje/kwab201 (arxiv.org:1711.07137)
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• Bacak V, Kennedy EH. Principled machine learning using the Super Learner: an application to predicting prison violence. 
  Sociological Methods & Research. 2019; 48(3): 698-721. doi:10.1177/0049124117747301
  
  
• Bacak V, Kennedy EH. Marginal structural models: an application to incarceration and marriage during young adulthood. Journal of Marriage and Family. 2015; 77(1): 112-125. doi:10.1111/jomf.12159
  
  
• Gross SR, O’Brien B, Hu C, Kennedy EH. Rate of false conviction of criminal defendants who are sentenced to death. Proceedings of the National Academy of Sciences. 2014; 111(20): 7230-7235. doi:10.1073/pnas.1306417111
  
  
• ​​​Chen LM, Kennedy EH, Sales AE, Hofer TP. Use of health information technology for higher-value critical care. New England Journal of Medicine. 2013; 368(7): 594-597. doi:10.1056/NEJMp1213273 
  
  
• Kennedy EH, Wiitala WL, Hayward RA, Sussman JB. Improved cardiovascular risk prediction using nonparametric regression and electronic health record data. Medical Care. 2013; 51(3): 251-258. doi:10.1097/MLR.0b013e31827da594