Edward H. Kennedy
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I have been very lucky to work with a lot of amazing students. Here are some resulting publications:
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  • Martinez-Taboada D, Ramdas A, Kennedy EH. An efficient doubly robust test for the kernel treatment effect. 
    arxiv.org/abs/2304.13237

  • Zeng Z, Kennedy EH, Bodnar LM, Naimi AI. Efficient generalization and transportation. arxiv.org/abs/2302.00092
         - won ENAR Distinguished Student Paper Award in 2022

  • Levis AW, Bonvini M, Zeng Z, Keele L, Kennedy EH. Covariate-assisted bounds on causal effects with instrumental variables. 
    arxiv.org/abs/2301.12106

  • Kim K, Kennedy EH, JR Zubizarreta. Doubly robust counterfactual classification. arxiv.org/pdf/2301.06199.pdf 

  • Rambachan A, Coston A, Kennedy EH. Counterfactual risk assessments under unmeasured confounding. 
    arxiv.org/abs/2212.09844

  • McClean A, Branson Z, Kennedy EH. Nonparametric estimation of conditional incremental effects. 
    arxiv.org/pdf/2212.03578.pdf 


  • Rubinstein M, Branson Z, Kennedy EH. Heterogeneous interventional indirect effects with multiple mediators: non-parametric and semi-parametric approaches. arxiv.org/abs/2210.08272

  • Bonvini M, Kennedy EH, Ventura V, Wasserman LA. Sensitivity analysis for marginal structural models. 
    arxiv.org/abs/2210.04681

  • Bonvini M, Kennedy EH. Fast convergence rates for dose-response estimation. arxiv.org/abs/2207.11825

  • Coston A, Kennedy EH. The role of the geometric mean in case-control studies. arxiv.org/abs/2207.09016

  • Das M, Kennedy EH. drpop: Efficient and doubly robust population size estimation in R. arxiv.org/abs/2111.07191

  • Bonvini M, McClean A, Branson Z, Kennedy EH. Incremental causal effects: an introduction & review. Handbook of Matching and Weighting in Causal Inference. arxiv.org/abs/2110.10532

  • Mishler A, Kennedy EH. FADE: FAir Double Ensemble learning for observable and counterfactual outcomes. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022). ​arxiv.org/abs/2109.00173​

  • Das M, Kennedy EH. Doubly robust capture-recapture methods for estimating population size. Journal of the American Statistical Association. arxiv.org/abs/2104.14091

  • Waudby-Smith I, Arbour D, Sinha R, Kennedy EH, Ramdas A. Time-uniform central limit theory with applications to anytime-valid causal inference. arxiv.org/abs/2103.06476

  • Bonvini M, Kennedy EH, Ventura V, Wasserman L. Causal inference for the effect of mobility on COVID-19 deaths. Annals of Applied Statistics. arxiv.org/abs/2103.04472

  • Liu L, Kennedy EH. Median optimal treatment regimes. arxiv.org/abs/2103.01802

  • Mishler A, Kennedy EH. Fairness in risk assessment instruments: post-processing to achieve counterfactual equalized odds. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021). arxiv.org/abs/2009.02841

  • Coston A, Kennedy EH, Chouldechova A. Counterfactual predictions under runtime confounding. Proceedings of the Conference on Neural Information Processing Systems (NeurIPS 2020).  arxiv.org/abs/2006.16916

  • Kim K, Kennedy EH, Wasserman LA. Causal clustering.
    ​     - won WNAR Most Outstanding Student Paper Award in 2020

  • Bonvini M, Kennedy EH. Sensitivity analysis via the proportion of unmeasured confounding. ​Journal of the American Statistical Association. arxiv.org/abs/1912.02793
         - won JSM Student Paper Award (Statistics in Epidemiology Section) in 2020

  • Coston A, Mishler A, Kennedy EH, Chouldechova A. Counterfactual risk assessments, evaluation, and fairness. Proceedings of the ACM Conference on Fairness, Accountability, and Transparency (FAT* 2020). arxiv.org/abs/1909.00066

  • Kim K, Kennedy EH, Naimi AI. Incremental intervention effects in studies with many timepoints, repeated outcomes, and dropout. Journal of Causal Inference. arxiv.org/abs/1907.04004 
         
    - won JSM Student Paper Award (Nonparametric Statistics Section) in 2020

  • Mauro JA, Kennedy EH, Nagin D. Instrumental variable methods using dynamic interventions. Journal of the Royal Statistical Society: Series A. arxiv.org/abs/1811.01301  
         
    - won JSM Student Paper Award (Government, Survey Research, and Social Statistics Section) in 2018

  • Cuellar M, Kennedy EH. A nonparametric projection-based estimator for the probability of causation, with application to water sanitation in Kenya. Journal of the Royal Statistical Society: Series A. arxiv.org/abs/1810.00767   
         
    - won JSM Student Paper Award (Breslow Prize, Statistics in Epidemiology Section) in 2018​

  • Kim K, Kim J, Kennedy EH. Causal effects based on distributional distances. arxiv.org/abs/1806.02935
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