Edward H. Kennedy

发表

Principled Machine Learning Using the Super Learner: An Application to Predicting Prison Violence

Valerio Baćak, Edward H. Kennedy, V. Baćak, 2019 .

Handling Missing Data in Instrumental Variable Methods for Causal Inference.

Michael J. Daniels, Dylan S. Small, Edward H. Kennedy, 2019, Annual review of statistics and its application.

Paradoxes in instrumental variable studies with missing data and one-sided noncompliance

Dylan S. Small, Edward H. Kennedy, 2017, 1705.00506.

Counterfactual Predictions under Runtime Confounding pdf

Alexandra Chouldechova, Edward H. Kennedy, Amanda Coston, 2020, NeurIPS.

Robust causal inference with continuous instruments using the local instrumental variable curve

Dylan S. Small, Edward H. Kennedy, Scott A. Lorch, 2016, Journal of the Royal Statistical Society: Series B (Statistical Methodology).

Sharp instruments for classifying compliers and generalizing causal effects

Sivaraman Balakrishnan, Max G'Sell, Edward H. Kennedy, 2018, The Annals of Statistics.

Counterfactual risk assessments, evaluation, and fairness

Alexandra Chouldechova, Edward H. Kennedy, Amanda Coston, 2020, FAT*.

Efficient Nonparametric Causal Inference with Missing Exposure Information

Edward H. Kennedy, 2018, The international journal of biostatistics.

Discussion of “On Nearly Assumption-Free Tests of Nominal Confidence Interval Coverage for Causal Parameters Estimated by Machine Learning”

Larry A. Wasserman, Sivaraman Balakrishnan, Edward H. Kennedy, 2020, Statistical Science.

Visually Communicating and Teaching Intuition for Influence Functions

Aaron Fisher, Edward H. Kennedy, Aaron J. Fisher, 2018, The American Statistician.

Causal effects based on distributional distances pdf

Jisu Kim, Kwangho Kim, Edward H. Kennedy, 2018, ArXiv.

Nonparametric Causal Effects Based on Incremental Propensity Score Interventions

Edward H. Kennedy, 2017, Journal of the American Statistical Association.

Doubly robust capture-recapture methods for estimating population size

Edward H. Kennedy, Manjari Das, Manjari Das, 2021, Journal of the American Statistical Association.

drpop: Efficient and Doubly Robust Population Size Estimation in R

Edward H. Kennedy, Manjari Das, Manjari Das, 2021, 2111.07191.

Comment on "Statistical Modeling: The Two Cultures" by Leo Breiman

Alan Mishler, Edward H. Kennedy, Matteo Bonvini, 2021, Observational Studies.

Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds

Alan Mishler, Edward H. Kennedy, Alan Mishler, 2020, FAccT.

Semiparametric Counterfactual Density Estimation

Sivaraman Balakrishnan, Larry Wasserman, Edward H. Kennedy, 2021, Biometrika.

Doubly robust confidence sequences for sequential causal inference

David Arbour, Aaditya Ramdas, Edward H. Kennedy, 2021 .

Median Optimal Treatment Regimes pdf

Liu Leqi, Edward H. Kennedy, 2021, ArXiv.

Incremental causal effects: an introduction and review

Zach Branson, Edward H. Kennedy, Matteo Bonvini, 2021, 2110.10532.

Semiparametric Sensitivity Analysis: Unmeasured Confounding In Observational Studies

Ming-Yueh Huang, Daniel O. Scharfstein, Edward H. Kennedy, 2021, 2104.08300.

Doubly robust adaptive LASSO for effect modifier discovery

Asma Bahamyirou, Edward H. Kennedy, Lucie Blais, 2020, The international journal of biostatistics.

Incremental intervention effects in studies with dropout and many timepoints#

Kwangho Kim, Edward H. Kennedy, Ashley I. Naimi, 2021, Journal of Causal Inference.

Optimal doubly robust estimation of heterogeneous causal effects

Edward H. Kennedy, 2020, 2004.14497.

Sensitivity Analysis via the Proportion of Unmeasured Confounding

Edward H. Kennedy, Matteo Bonvini, 2019, 1912.02793.

Prediction using a randomized evaluation of data collection integrated through connected technologies (PREDICT): Design and rationale of a randomized trial of patients discharged from the hospital to home.

Dylan S. Small, Edward H. Kennedy, D. Small, 2019, Contemporary clinical trials.

Incremental intervention effects in studies with dropout and many timepoints#

Edward H. Kennedy, A. Naimi, Kwangho Kim, 2019, Journal of Causal Inference.

Incremental Intervention Effects in Studies with Many Timepoints, Repeated Outcomes, and Dropout

Edward H. Kennedy, A. Naimi, Kwangho Kim, 2019 .

Semiparametric theory and empirical processes in causal inference

Edward H. Kennedy, 2015, 1510.04740.

Machine learning as a strategy to account for dietary synergy: an illustration based on dietary intake and adverse pregnancy outcomes.

Abigail R Cartus, Edward H. Kennedy, S. Kirkpatrick, 2020, The American journal of clinical nutrition.

A Nonparametric Projection-Based Estimator for the Probability of Causation, with Application to Water Sanitation in Kenya

Edward H. Kennedy, Maria Cuellar, Maria Cuellar, 2018, 1810.00767.

Review of Observation and Experiment: An Introduction to Causal Inference by Paul R. Rosenbaum

Edward H. Kennedy, J. Greenhouse, 2018, Psychometrika.

Towards optimal doubly robust estimation of heterogeneous causal effects

Edward H. Kennedy, 2020, 2004.14497.

Comparison of methods for estimating the effect of salvage therapy in prostate cancer when treatment is given by indication

Edward H. Kennedy, J. M. Taylor, D. Schaubel, 2014, Statistics in medicine.

Surrogate markers for time-varying treatments and outcomes

Dylan S. Small, Edward H. Kennedy, D. Small, 2015, Clinical trials.

The role of the geometric mean in case-control studies

Edward H. Kennedy, Amanda Coston, 2022, 2207.09016.

A non‐parametric projection‐based estimator for the probability of causation, with application to water sanitation in Kenya

Edward H. Kennedy, Maria Cuellar, 2020, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Robust estimation and inference for the local instrumental variable curve

Dylan S. Small, Edward H. Kennedy, D. Small, 2016 .

Improving Identification of Patients at Low Risk for Major Cardiac Events After Noncardiac Surgery Using Intraoperative Data.

Victor J. Lei, Edward H. Kennedy, L. Fleisher, 2020, Journal of hospital medicine.

Time-uniform central limit theory, asymptotic confidence sequences, and anytime-valid causal inference

Edward H. Kennedy, Aaditya Ramdas, D. Arbour, 2021, 2103.06476.

Nonparametric Estimation of Conditional Incremental Effects

Edward H. Kennedy, Zach Branson, A. McClean, 2022, 2212.03578.

Estimation of the Time-Varying Incremental Effect of Low-dose Aspirin on Incidence of Pregnancy

Edward H. Kennedy, A. Naimi, Jacqueline E. Rudolph, 2022, Epidemiology.

Causal inference for the effect of mobility on COVID-19 deaths

Edward H. Kennedy, L. Wasserman, V. Ventura, 2022, The Annals of Applied Statistics.

Sensitivity Analysis for Marginal Structural Models

Edward H. Kennedy, L. Wasserman, V. Ventura, 2022, 2210.04681.

Time-uniform central limit theory, asymptotic confidence sequences, and anytime-valid causal inference

Edward H. Kennedy, Aaditya Ramdas, D. Arbour, 2021, 2103.06476.

Review of Observation and Experiment: An Introduction to Causal Inference by Paul R. Rosenbaum

Edward H. Kennedy, J. Greenhouse, 2018, Psychometrika.

Sensitivity Analysis via the Proportion of Unmeasured Confounding

Edward H. Kennedy, Matteo Bonvini, 2019, Journal of the American Statistical Association.

Instrumental variable methods using dynamic interventions

Edward H Kennedy, Daniel Nagin, Edward H. Kennedy, 2018, Journal of the Royal Statistical Society: Series A (Statistics in Society).

Non‐parametric methods for doubly robust estimation of continuous treatment effects

Edward H Kennedy, Dylan S. Small, Dylan S Small, 2015, Journal of the Royal Statistical Society. Series B, Statistical methodology.

AIPW: An R Package for Augmented Inverse Probability Weighted Estimation of Average Causal Effects.

Edward H. Kennedy, A. Naimi, L. Bodnar, 2021, American Journal of Epidemiology.

Use of Machine Learning to Estimate the Per-Protocol Effect of Low-Dose Aspirin on Pregnancy Outcomes

Edward H. Kennedy, A. Naimi, L. Bodnar, 2022, JAMA network open.

Doubly robust causal inference with complex parameters

Edward H. Kennedy, Edward Henry Kennedy, 2016 .

Estimating scaled treatment effects with multiple outcomes

Edward H Kennedy, Nandita Mitra, Edward H. Kennedy, 2016, Statistical methods in medical research.

Defining and Identifying Per-protocol Effects in Randomized Trials.

Edward H Kennedy, Enrique F Schisterman, Ashley I Naimi, 2020, Epidemiology.

Counterfactual risk assessments, evaluation, and fairness

Edward H. Kennedy, A. Chouldechova, Amanda Coston, 2019, FAT*.

Model Performance Metrics in Assessing the Value of Adding Intraoperative Data for Death Prediction: Applications to Noncardiac Surgery

Edward H Kennedy, Kevin G Volpp, John H Holmes, 2019, MedInfo.

Rate of false conviction of criminal defendants who are sentenced to death

Edward H. Kennedy, Samuel R. Gross, S. Gross, 2014, Proceedings of the National Academy of Sciences.

Nonparametric Estimation of Conditional Incremental Effects

Edward H. Kennedy, Zach Branson, A. McClean, 2022, 2212.03578.

Time-uniform central limit theory with applications to anytime-valid causal inference A Proofs of the main results

Edward H. Kennedy, Aaditya Ramdas, D. Arbour, 2022 .

Time-uniform central limit theory, asymptotic confidence sequences, and anytime-valid causal inference

Edward H. Kennedy, Aaditya Ramdas, D. Arbour, 2022 .

Time-uniform central limit theory and asymptotic confidence sequences

Edward H. Kennedy, Aaditya Ramdas, D. Arbour, 2021, 2103.06476.

2 Setup : Target Parameters & Model Assumptions 2 . 1 Examples of Functionals

Edward H. Kennedy, 2022 .

Discussion of “Data‐driven confounder selection via Markov and Bayesian networks” by Jenny Häggström

Sivaraman Balakrishnan, Edward H Kennedy, Edward H. Kennedy, 2017, Biometrics.

Nonparametric Double Robustness

Edward H Kennedy, Ashley I Naimi, Edward H. Kennedy, 2017 .

Doubly robust confidence sequences for sequential causal inference

Edward H. Kennedy, Aaditya Ramdas, D. Arbour, 2021 .

Counterfactual Risk Assessments under Unmeasured Confounding

Edward H. Kennedy, Amanda Coston, Ashesh Rambachan, 2022, ArXiv.

Semiparametric doubly robust targeted double machine learning: a review

Edward H. Kennedy, 2022, 2203.06469.

ATS SEMINARS : DEMYSTIFYING DATA Instrumental Variable Analyses Exploiting Natural Randomness to Understand Causal Mechanisms

Edward H. Kennedy, T. Iwashyna, 2013 .

Efficient Generalization and Transportation

Edward H. Kennedy, A. Naimi, L. Bodnar, 2023, 2302.00092.

Doubly Robust Counterfactual Classification

Edward H. Kennedy, J. Zubizarreta, K. Kim, 2023, NeurIPS.

Smartphones vs Wearable Devices for Remotely Monitoring Physical Activity After Hospital Discharge: A Secondary Analysis of a Randomized Clinical Trial.

Dylan S. Small, Edward H. Kennedy, K. Volpp, 2020, JAMA network open.

An introduction to g methods.

Edward H Kennedy, Stephen R Cole, Ashley I Naimi, 2016, International journal of epidemiology.

Causal Inference with Orthogonalized Regression Adjustment: Taming the Phantom

Edward H. Kennedy, R. Tibshirani, L. Wasserman, 2022, 2201.13451.

Causal Inference with Orthogonalized Regression: Taming the Phantom

Edward H. Kennedy, R. Tibshirani, L. Wasserman, 2022 .

Challenges in Obtaining Valid Causal Effect Estimates with Machine Learning Algorithms.

Edward H Kennedy, Ashley I Naimi, Edward H. Kennedy, 2017, American journal of epidemiology.

Association Between Stimulant Treatment and Substance Use Through Adolescence Into Early Adulthood.

Edward H. Kennedy, Andrea L. Howard, J. Swanson, 2023, JAMA psychiatry.

Heterogeneous interventional indirect effects with multiple mediators: non-parametric and semi-parametric approaches (preprint)

Edward H. Kennedy, Zach Branson, M. Rubinstein, 2022, 2210.08272.

Is the association between fruits and vegetables and preeclampsia due to higher dietary vitamin C and carotenoid intakes?

Edward H. Kennedy, S. Kirkpatrick, A. Naimi, 2023, The American journal of clinical nutrition.

Doubly robust machine learning for an instrumental variable study of surgical care for cholecystitis

Edward H. Kennedy, R. Kelz, A. Levis, 2023, 2307.06269.

Median Optimal Treatment Regimes

Edward H. Kennedy, Liu Leqi, 2021, ArXiv.

Incremental Propensity Score Effects for Criminology: An Application Assessing the Relationship Between Houselessness, Behavioral Health Problems, and Recidivism

Edward H. Kennedy, Zach Branson, A. McClean, 2023, 2305.14040.

The Fundamental Limits of Structure-Agnostic Functional Estimation

Edward H. Kennedy, L. Wasserman, Sivaraman Balakrishnan, 2023, 2305.04116.

Minimax rates for heterogeneous causal effect estimation

Edward H. Kennedy, L. Wasserman, Sivaraman Balakrishnan, 2022, 2203.00837.

An Efficient Doubly-Robust Test for the Kernel Treatment Effect

Edward H. Kennedy, Aaditya Ramdas, Diego Martinez-Taboada, 2023, 2304.13237.

Towards optimal doubly robust estimation of heterogeneous causal effects

Edward H. Kennedy, 2020, 2004.14497.

Fast convergence rates for dose-response estimation

Edward H. Kennedy, Matteo Bonvini, 2022, 2207.11825.

Counterfactual Predictions under Runtime Confounding Supplementary Material

Edward H. Kennedy, Amanda Coston, 2020 .

FADE: FAir Double Ensemble Learning for Observable and Counterfactual Outcomes pdf

Alan Mishler, Edward H. Kennedy, Edward Kennedy, 2021, FAccT.

Semiparametric theory

Edward H. Kennedy, 2017, 1709.06418.

Comparison of methods for estimating the effect of salvage therapy in prostate cancer when treatment is given by indication

Edward H. Kennedy, J. M. Taylor, D. Schaubel, 2014, Statistics in Medicine.

Fairness in Risk Assessment Instruments: Post-Processing to Achieve Counterfactual Equalized Odds pdfauthor=Alan Mishler, Edward H. Kennedy

Edward H. Kennedy, Alan Mishler, 2020 .

Time-uniform central limit theory and asymptotic confidence sequences

Edward H. Kennedy, Aaditya Ramdas, D. Arbour, 2021, 2103.06476.

Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments

Edward H. Kennedy, Sivaraman Balakrishnan, Zach Branson, 2023, 2309.00706.

An Efficient Doubly-Robust Test for the Kernel Treatment Effect

Edward H. Kennedy, Aaditya Ramdas, Diego Martinez-Taboada, 2023, 2304.13237.

Covariate-assisted bounds on causal effects with instrumental variables

Edward H. Kennedy, L. Keele, Matteo Bonvini, 2023, 2301.12106.

Robust Design and Evaluation of Predictive Algorithms under Unobserved Confounding

Edward H. Kennedy, Amanda Coston, Ashesh Rambachan, 2022, 2212.09844.

Efficient Nonparametric Causal Inference with Missing Exposure Information

Edward H. Kennedy, 2018, The international journal of biostatistics.

Towards optimal doubly robust estimation of heterogeneous causal effects

Edward H. Kennedy, 2020, Electronic Journal of Statistics.

Incremental Propensity Score Effects for Time-fixed Exposures.

Abigail R Cartus, Edward H. Kennedy, S. Kirkpatrick, 2021, Epidemiology.

An introduction to g methods.

Edward H. Kennedy, S. Cole, A. Naimi, 2016, International journal of epidemiology.

Minimax optimal subgroup identification

Edward H. Kennedy, L. Keele, Matteo Bonvini, 2023, 2306.17464.

Discussion of “Data‐driven confounder selection via Markov and Bayesian networks” by Jenny Häggström

Edward H. Kennedy, Sivaraman Balakrishnan, 2017, Biometrics.

Nonlinear Regression with Residuals: Causal Estimation with Time-varying Treatments and Covariates

Edward H. Kennedy, R. Tibshirani, L. Wasserman, 2022, 2201.13451.