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Causal inference and the data-fusion problem

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7345-7352

2016

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Recursive partitioning for heterogeneous causal effects

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7353-7360

2016

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Insights into Pathogenic Interactions Among Environment, Host, and Tumor at the Crossroads of Molecular Pathology and Epidemiology

Annual review of pathology, 2019-01, Vol.14 (1), p.83-103

2019

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Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness

Journal of the American Statistical Association, 2023-07, Vol.ahead-of-print (ahead-of-print), p.1-12

2023

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Causal inference in economics and marketing

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7310-7315

Varian, Hal R.

2016

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Estimating peer effects in networks with peer encouragement designs

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7316-7322

2016

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Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding

Journal of the Royal Statistical Society. Series B, Statistical methodology, 2024-04, Vol.86 (2), p.487-511

2024

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Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies

Survey research methods, 2020-01, Vol.14 (2), p.153-158

2020

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LIMITATIONS OF DESIGN-BASED CAUSAL INFERENCE AND A/B TESTING UNDER ARBITRARY AND NETWORK INTERFERENCE

Sociological methodology, 2018-08, Vol.48 (1), p.136-151

2018

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Causal Inference and Observational Research: The Utility of Twins

Perspectives on Psychological Science, 2010-09, Vol.5 (5), p.546-556

2010

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Modeling confounding by half-sibling regression

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7391-7398

2016

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Open Set Recognition in Real World

International journal of computer vision, 2024-08, Vol.132 (8), p.3208-3231

2024

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DROID: Driver-Centric Risk Object IDentification

IEEE transactions on pattern analysis and machine intelligence, 2023-11, Vol.PP (11), p.1-17

2023

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Teaching yourself about structural racism will improve your machine learning

Biostatistics (Oxford, England), 2020-04, Vol.21 (2), p.339-344

2020

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Improving massive experiments with threshold blocking

Proceedings of the National Academy of Sciences - PNAS, 2016-07, Vol.113 (27), p.7369-7376

2016

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On the relationship between the causal‐inference and meta‐analytic paradigms for the validation of surrogate endpoints

Biometrics, 2015-03, Vol.71 (1), p.15-24

2015

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CAUSAL INFERENCE WITH NETWORKED TREATMENT DIFFUSION

Sociological methodology, 2018-08, Vol.48 (1), p.152-181

An, Weihua

2018

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The specification of the propensity score in multilevel observational studies

Computational statistics & data analysis, 2011-04, Vol.55 (4), p.1770-1780

2011

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Potential types of bias when estimating causal effects in environmental research and how to interpret them

Environmental evidence, 2024-02, Vol.13 (1), p.1-31, Article 1

2024

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Addressing Extreme Propensity Scores via the Overlap Weights

American journal of epidemiology, 2019-01, Vol.188 (1), p.250-257

2019

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A Survey of Learning Causality with Data: Problems and Methods

ACM computing surveys, 2020-09, Vol.53 (4), p.1-37

2020

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The Bayesian Causal Inference in Multisensory Information Processing: A Narrative Review

Recent Advances in Intelligent Information Hiding and Multimedia Signal Processing, p.151-161

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Effect partitioning under interference in two-stage randomized vaccine trials

Statistics & probability letters, 2011-07, Vol.81 (7), p.861-869

2011

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What Is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory

American sociological review, 2021-06, Vol.86 (3), p.532-565

2021

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Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion)

Bayesian analysis, 2020-09, Vol.15 (3)

2020

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Causal inference and the data-fusion problem

Recursive partitioning for heterogeneous causal effects

Insights into Pathogenic Interactions Among Environment, Host, and Tumor at the Crossroads of Molecular Pathology and Epidemiology

Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness

Causal inference in economics and marketing

Estimating peer effects in networks with peer encouragement designs

Identification and estimation of causal peer effects using double negative controls for unmeasured network confounding

Using Difference-in-Differences to Identify Causal Effects of COVID-19 Policies

LIMITATIONS OF DESIGN-BASED CAUSAL INFERENCE AND A/B TESTING UNDER ARBITRARY AND NETWORK INTERFERENCE

Causal Inference and Observational Research: The Utility of Twins

Modeling confounding by half-sibling regression

Open Set Recognition in Real World

DROID: Driver-Centric Risk Object IDentification

Teaching yourself about structural racism will improve your machine learning

Improving massive experiments with threshold blocking

On the relationship between the causal‐inference and meta‐analytic paradigms for the validation of surrogate endpoints

CAUSAL INFERENCE WITH NETWORKED TREATMENT DIFFUSION

The specification of the propensity score in multilevel observational studies

Potential types of bias when estimating causal effects in environmental research and how to interpret them

Addressing Extreme Propensity Scores via the Overlap Weights

A Survey of Learning Causality with Data: Problems and Methods

The Bayesian Causal Inference in Multisensory Information Processing: A Narrative Review

Effect partitioning under interference in two-stage randomized vaccine trials

What Is Your Estimand? Defining the Target Quantity Connects Statistical Evidence to Theory

Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects (with Discussion)

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