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07/17/2023
Bayesian Safe Policy Learning with Chance Constrained Optimization: Application to Military Security Assessment during the Vietnam War
Algorithmic and data-driven decisions and recommendations are commonly u...
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01/12/2023
Approximate Balancing Weights for Clustered Observational Study Designs
In a clustered observational study, a treatment is assigned to groups an...
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10/04/2022
Using Balancing Weights to Target the Treatment Effect on the Treated when Overlap is Poor
Inverse probability weights are commonly used in epidemiology to estimat...
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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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08/29/2022
Safe Policy Learning under Regression Discontinuity Designs
The regression discontinuity (RD) design is widely used for program eval...
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06/21/2022
Policy learning with asymmetric utilities
Data-driven decision making plays an important role even in high stakes ...
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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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09/22/2021
Safe Policy Learning through Extrapolation: Application to Pre-trial Risk Assessment
Algorithmic recommendations and decisions have become ubiquitous in toda...
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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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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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11/10/2018