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20092023
most citedA Nonparametric Bayesian Methodology for Regression Discontinuity Designs

31 citations · 194 across the 34 of their papers we have counts for

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5 papers · 1 filter

stat.AP2021★ 1 cited

Precise Unbiased Estimation in Randomized Experiments using Auxiliary Observational Data

Johann A. Gagnon-Bartsch, Adam C. Sales, Edward Wu +4

Randomized controlled trials (RCTs) are increasingly prevalent in education research, and are often regarded as a gold standard of causal inference. Two main virtues of randomized…

stat.AP2020★ 1 cited

Hospital Quality Risk Standardization via Approximate Balancing Weights

Luke Keele, Eli Ben-Michael, Avi Feller +2

Comparing outcomes across hospitals, often to identify underperforming hospitals, is a critical task in health services research. However, naive comparisons of average outcomes, su…

stat.AP2019★ 1 cited

Lurking Inferential Monsters? Quantifying bias in non-experimental evaluations of school programs

Ben Weidmann, Luke Miratrix

This study examines whether unobserved factors substantially bias education evaluations that rely on the Conditional Independence Assumption. We add 14 new within-study comparisons…

stat.AP2018★ 7 cited

A Bayesian Nonparametric Approach to Geographic Regression Discontinuity Designs: Do School Districts Affect NYC House Prices?

Maxime Rischard, Zach Branson, Luke Miratrix +1

Most research on regression discontinuity designs (RDDs) has focused on univariate cases, where only those units with a "forcing" variable on one side of a threshold value receive…

stat.AP2009

Implementing Risk-Limiting Post-Election Audits in California

Joseph Lorenzo Hall, Luke W. Miratrix, Philip B. Stark +7

Risk-limiting post-election audits limit the chance of certifying an electoral outcome if the outcome is not what a full hand count would show. Building on previous work, we report…