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08/14/2023
Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
In multisite trials, statistical goals often include obtaining individua...
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04/27/2023
Augmented balancing weights as linear regression
We provide a novel characterization of augmented balancing weights, also...
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09/09/2022
Estimating Racial Disparities in Emergency General Surgery
Research documents that Black patients experience worse general surgery ...
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03/17/2022
Outcome Assumptions and Duality Theory for Balancing Weights
We study balancing weight estimators, which reweight outcomes from a sou...
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10/28/2021
The Balancing Act in Causal Inference
The idea of covariate balance is at the core of causal inference. Invers...
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10/13/2021
Using Multitask Gaussian Processes to estimate the effect of a targeted effort to remove firearms
Gun violence is a critical public safety concern in the United States. I...
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03/26/2021
Is it who you are or where you are? Accounting for compositional differences in cross-site treatment variation
Multisite trials, in which treatment is randomized separately in multipl...
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02/25/2021
Interpretable Sensitivity Analysis for Balancing Weights
Assessing sensitivity to unmeasured confounding is an important step in ...
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02/17/2021
Multilevel calibration weighting for survey data
A pressing challenge in modern survey research is to find calibration we...
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11/11/2020
A trial emulation approach for policy evaluations with group-level longitudinal data
To limit the spread of the novel coronavirus, governments across the wor...
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09/03/2020
Policy evaluation in COVID-19: A graphical guide to common design issues
Policy responses to COVID-19, particularly those related to non-pharmace...
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08/10/2020
Varying impacts of letters of recommendation on college admissions: Approximate balancing weights for subgroup effects in observational studies
In a pilot study during the 2016-17 admissions cycle, the University of ...
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07/17/2020
Hospital Quality Risk Standardization via Approximate Balancing Weights
Comparing outcomes across hospitals, often to identify underperforming h...
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12/06/2019
Synthetic Controls and Weighted Event Studies with Staggered Adoption
Staggered adoption of policies by different units at different times cre...
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10/24/2019
A Graph-Theoretic Approach to Randomization Tests of Causal Effects Under General Interference
Interference exists when a unit's outcome depends on another unit's trea...
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07/17/2019
Assessing Treatment Effect Variation in Observational Studies: Results from a Data Challenge
A growing number of methods aim to assess the challenging question of tr...
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04/04/2019
Randomization tests for peer effects in group formation experiments
Measuring the effect of peers on individual outcomes is a challenging pr...
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11/10/2018
The Augmented Synthetic Control Method
The synthetic control method (SCM) is a popular approach for estimating ...
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09/02/2018
Flexible sensitivity analysis for observational studies without observable implications
A fundamental challenge in observational causal inference is that assump...
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05/04/2018
Algorithmic Decision Making in the Presence of Unmeasured Confounding
On a variety of complex decision-making tasks, from doctors prescribing ...
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03/16/2018
Identifying and Estimating Principal Causal Effects in Multi-site Trials
Randomized trials are often conducted with separate randomizations acros...
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11/07/2017