activity
20162022
most citedBeyond the Sharp Null: Randomization Inference, Bounded Null Hypotheses, and Confidence Intervals for Maximum Effects

8 citations · 17 across the 8 of their papers we have counts for

collaborators

14 papers

stat.ME2022

Designing Experiments Toward Shrinkage Estimation

Evan T. R. Rosenman, Luke Miratrix

We consider how increasingly available observational data can be used to improve the design of randomized controlled trials (RCTs). We seek to design a prospective RCT, with the in…

stat.ME20216 cited

Is it who you are or where you are? Accounting for compositional differences in cross-site treatment variation

Benjamin Lu, Eli Ben-Michael, Avi Feller +1

Multisite trials, in which treatment is randomized separately in multiple sites, offer a unique opportunity to disentangle treatment effect variation due to "compositional" differe…

stat.AP2020

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.ME2020

Using Simulation to Analyze Interrupted Time Series Designs

Luke Miratrix

We are sometimes forced to use the Interrupted Time Series (ITS) design as an identification strategy for potential policy change, such as when we only have a single treated unit a…

stat.AP20191 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

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…