← All authors Edward H. Kennedy Carnegie Mellon University (from arXiv:2207.09016, 2022) · ORCID · OpenAlex
57 papers in scope · 56 published · 1 on the econ.EM arXiv · 1,142 citations · h-index 15 (over the papers listed here)
Related authors The 20 authors closest to this one in our weighted citation graph, most related first.
Sung Jae Jun Sokbae Lee Flavio Riva Zhiping Yu Amanda Coston Vítor Possebom Myung Hwan Seo Youngki Shin Yuan Liao Pedro H. C. Sant’Anna Neil Christy Victor Chernozhukov Le-Yu Chen Jonathan Roth Myung-Hyun Song Guido W. Imbens Moyu Liao Peter Hull Amanda Kowalski Matias D. Cattaneo Proximity is measured over citations between two papers we both hold, weighted by how heavily one leans on the other, and is symmetric — it does not distinguish citing from being cited. Authors without a profile here are skipped, and a genuinely close colleague can be missing simply because their work is not in our arXiv corpus. Method: docs/06-citations-pipeline.md .
Papers (1 of 57)
Causal K-means clustering
published 2026 · Journal of the Royal Statistical Society Series B (Statistical Methodology)
with Kwang Ho Kim, Jisu Kim
Doubly-robust functional average treatment effect estimation
published 2026 · Journal of Causal Inference · 2 citations
with Lorenzo Testa, Tobia Boschi, Francesca Chiaromonte, Matthew Reimherr
Efficient Generalization and Transportation
published 2025 · Statistical Science · 2 citations · first circulated 2023
with Zhenghao Zeng, Lisa M. Bodnar, Ashley I. Naimi
Discussion of "Causal and counterfactual views of missing data models" by Razieh Nabi, Rohit Bhattacharya, Ilya Shpitser, and James M. Robins
published 2025 · Statistica Sinica
with A.H. Levis, Alex W. Levis
Covariate-assisted bounds on causal effects with instrumental variables
published 2025 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 1 citations · first circulated 2023
Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes
published 2025 · Journal of the American Statistical Association · 3 citations · first circulated 2024
with Jin-Hong Du, Zhenghao Zeng, Larry Wasserman, Kathryn Roeder
Time-uniform central limit theory and asymptotic confidence sequences
published 2024 · The Annals of Statistics · 4 citations · first circulated 2021
Semiparametric sensitivity analysis: unmeasured confounding in observational studies
published 2024 · Biometrics · 10 citations · first circulated 2021
with Razieh Nabi, Matteo Bonvini, Ming-Yueh Huang, Marcela C. Smid, Daniel O. Scharfstein
Doubly robust machine learning-based estimation methods for instrumental variables with an application to surgical care for cholecystitis
published 2024 · Journal of the Royal Statistical Society Series A (Statistics in Society) · 2 citations
To translocate or not to translocate? Embedding population modelling in an inclusive structured decision‐making process to overcome a conservation impasse
published 2024 · Animal Conservation · 7 citations
with Elizabeth H. Parlato, Johannes H. Fischer, Tammy E. Steeves, Keala Graydon, Troy Makan, Eann A. Patterson, Tertia Thurley, Jeanie M. Welch, Kevin A. Parker
Minimax rates for heterogeneous causal effect estimation
published 2024 · The Annals of Statistics · 9 citations · first circulated 2022
Linking Clicks to Bricks: Understanding the Effects of Email Advertising on Multichannel Sales
published 2024 · Information Systems Research · 5 citations
with Mi Zhou, Vibhanshu Abhishek, Kannan Srinivasan, Ritwik Sinha
Nonparametric estimation of conditional incremental effects
published 2024 · Journal of Causal Inference · 3 citations · first circulated 2022
with Alec McClean, Zach Branson
Evaluating a Targeted Minimum Loss-Based Estimator for Capture-Recapture Analysis: An Application to HIV Surveillance in San Francisco, California
published 2023 · American Journal of Epidemiology
with Paul Wesson, Manjari Das, Mia Chen, Ling Hsu, Willi McFarland, Nicholas P. Jewell
Marshall Joffe’s Contributions to Causal Inference, Biostatistics, and Epidemiology
published 2023 · American Journal of Epidemiology
Doubly Robust Capture-Recapture Methods for Estimating Population Size
published 2023 · Journal of the American Statistical Association · 4 citations · first circulated 2021
with Manjari Das, Nicholas P. Jewell
Towards optimal doubly robust estimation of heterogeneous causal effects
published 2023 · Electronic Journal of Statistics · 146 citations · first circulated 2020
Heterogeneous interventional effects with multiple mediators: Semiparametric and nonparametric approaches
published 2023 · Journal of Causal Inference · 4 citations
with Max Rubinstein, Zach Branson
Machine Learning and Causal Inference
published 2022 · Wiley StatsRef: Statistics Reference Online · 3 citations
with Paul N. Zivich, Alexander Breskin
Estimation of the Time-Varying Incremental Effect of Low-dose Aspirin on Incidence of Pregnancy
published 2022 · Epidemiology · 2 citations
with Jacqueline E. Rudolph, Kwang-Ho Kim, Ashley I. Naimi
Estimation of the Average Causal Effect in Longitudinal Data With Time-Varying Exposures: The Challenge of Nonpositivity and the Impact of Model Flexibility
published 2022 · American Journal of Epidemiology · 16 citations
with Jacqueline E. Rudolph, David Benkeser, Enrique F. Schisterman, Ashley I. Naimi
working paper 2022 · arXiv · 2 citations
FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes
published 2022 · 2022 ACM Conference on Fairness, Accountability, and Transparency · 9 citations
with Alan Mishler
Use of a Doubly Robust Machine-Learning–Based Approach to Evaluate Body Mass Index as a Modifier of the Association Between Fruit and Vegetable Intake and Preeclampsia
published 2022 · American Journal of Epidemiology · 15 citations
with Lisa M. Bodnar, Abigail R. Cartus, Sharon I. Kirkpatrick, Sara M. Parisi, Katherine P. Himes, Corette B. Parker, William A. Grobman, Hyagriv N. Simhan, Robert M. Silver, Deborah A. Wing, Samuel W. Perry, Ashley I. Naimi, …
Modeling treatment effect modification in multidrug-resistant tuberculosis in an individual patientdata meta-analysis
published 2021 · Statistical Methods in Medical Research · 7 citations
with Yan Liu, Mireille E. Schnitzer, Guanbo Wang, Piret Viiklepp, Mario H. Vargas, Giovanni Sotgiu, Dick Menzies, Andrea Benedetti
Doubly robust nonparametric instrumental variable estimators for survival outcomes
published 2021 · Biostatistics · 2 citations · first circulated 2020
with Youjin Lee, Nandita Mitra
Performance Evaluation of Parametric and Nonparametric Methods When Assessing Effect Measure Modification
published 2021 · American Journal of Epidemiology · 12 citations
with Gabriel Conzuelo Rodriguez, Lisa M. Bodnar, Maria M. Brooks, Abdus S. Wahed, Enrique F. Schisterman, Ashley I. Naimi
AIPW : An R Package for Augmented Inverse Probability–Weighted Estimation of Average Causal Effects
published 2021 · American Journal of Epidemiology · 57 citations
with Yongqi Zhong, Lisa M. Bodnar, Ashley I. Naimi
Challenges in Obtaining Valid Causal Effect Estimates With Machine Learning Algorithms
published 2021 · American Journal of Epidemiology · 15 citations · first circulated 2017
with Ashley I. Naimi, Alan Mishler
Naimi et al. Respond to “Demystifying Statistical Inference”
published 2021 · American Journal of Epidemiology
with Ashley I. Naimi, Alan Mishler
Incremental Propensity Score Effects for Time-fixed Exposures
published 2021 · Epidemiology · 16 citations
with Ashley I. Naimi, Jacqueline E. Rudolph, Abigail R. Cartus, Sharon I. Kirkpatrick, David M. Haas, Hyagriv N. Simhan, Lisa M. Bodnar
Incremental intervention effects in studies with dropout and many timepoints #
published 2021 · Journal of Causal Inference · 9 citations · first circulated 2019
with Kwang-Ho Kim, Ashley I. Naimi
Comment on "Statistical Modeling: The Two Cultures" by Leo Breiman
published 2021 · Observational Studies · 3 citations
with Matteo Bonvini, Alan Mishler
Sensitivity Analysis via the Proportion of Unmeasured Confounding
published 2020 · Journal of the American Statistical Association · 37 citations
with Matteo Bonvini
Sharp instruments for classifying compliers and generalizing causal effects
published 2020 · The Annals of Statistics · 2 citations · first circulated 2018
with Sivaraman Balakrishnan, Max G’Sell
Discussion of “On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning”
published 2020 · Statistical Science · 1 citations
with Sivaraman Balakrishnan, Larry Wasserman
Defining and Identifying Per-protocol Effects in Randomized Trials
published 2020 · Epidemiology · 10 citations
with Jacqueline E. Rudolph, Ashley I. Naimi, Daniel Westreich, Enrique F. Schisterman, D. Westreich, J.E. Rudolph, A.I. Naimi
Instrumental Variable Methods using Dynamic Interventions
published 2020 · Journal of the Royal Statistical Society Series A (Statistics in Society) · 2 citations
with Jacqueline Mauro, Daniel S. Nagin
Efficient Nonparametric Causal Inference with Missing Exposure Information
published 2020 · The International Journal of Biostatistics · 12 citations
Visually Communicating and Teaching Intuition for Influence Functions
published 2020 · The American Statistician · 37 citations · first circulated 2018
with Aaron Fisher, Aaron J. Fisher
Handling Missing Data in Instrumental Variable Methods for Causal Inference
published 2018 · Annual Review of Statistics and Its Application · 3 citations
Robust Causal Inference with Continuous Instruments Using the Local Instrumental Variable Curve
published 2018 · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 9 citations · first circulated 2016
Review of Observation and Experiment: An Introduction to Causal Inference by Paul R. Rosenbaum
published 2018 · Psychometrika
with Joel B. Greenhouse
Survivor-Complier Effects in the Presence of Selection on Treatment, With Application to a Study of Prompt ICU Admission
published 2018 · Journal of the American Statistical Association · 6 citations · first circulated 2017
Semiparametric Theory
published 2018 · Wiley StatsRef: Statistics Reference Online · 6 citations · first circulated 2017
Nonparametric Causal Effects Based on Incremental Propensity Score Interventions
published 2018 · Journal of the American Statistical Association · 138 citations · first circulated 2017
Principled Machine Learning Using the Super Learner: An Application to Predicting Prison Violence
published 2018 · Sociological Methods & Research · 34 citations
with Valerio Baćak
A Non-Parametric Projection-Based Estimator for the Probability of Causation, with Application to Water Sanitation in Kenya
published 2018 · Journal of the Royal Statistical Society Series A (Statistics in Society) · 2 citations
with Maria Cuellar
Estimating scaled treatment effects with multiple outcomes
published 2017 · Statistical Methods in Medical Research · 1 citations
with Shreya Kangovi, Nandita Mitra
Discussion of “Data-driven Confounder Selection via Markov and Bayesian Networks” by Jenny Häggström
published 2017 · Biometrics · 3 citations
with Sivaraman Balakrishnan
An Introduction to G Methods
published 2016 · International Journal of Epidemiology · 349 citations
with Ashley I. Naimi, Stephen R. Cole
Semiparametric causal inference in matched cohort studies
published 2015 · Biometrika · 20 citations
Surrogate markers for time-varying treatments and outcomes
published 2015 · Clinical Trials · 9 citations
Optimal restricted estimation for more efficient longitudinal causal inference
published 2014 · Statistics & Probability Letters
Comparison of methods for estimating the effect of salvage therapy in prostate cancer when treatment is given by indication
published 2013 · Statistics in Medicine · 15 citations
with Jeremy M. G. Taylor, Jincheng Shen, Lu Wang, Douglas E. Schaubel
Instrumental Variable Analyses. Exploiting Natural Randomness to Understand Causal Mechanisms
published 2013 · Annals of the American Thoracic Society · 41 citations
with Theodore J. Iwashyna
The effect of salvage therapy on survival in a longitudinal study with treatment by indication
published 2010 · Statistics in Medicine · 35 citations
with Jeremy M. G. Taylor, Douglas E. Schaubel, Scott Williams
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