31 citations · 194 across the 34 of their papers we have counts for
5 papers · 1 filter
Block what you can, except when you shouldn't
Nicole E. Pashley, Luke W. Miratrix
Several branches of the potential outcome causal inference literature have discussed the merits of blocking versus complete randomization. Some have concluded it can never hurt the…
Conditional As-If Analyses in Randomized Experiments
Nicole E. Pashley, Guillaume W. Basse, Luke W. Miratrix
The injunction to `analyze the way you randomize' is well-known to statisticians since Fisher advocated for randomization as the basis of inference. Yet even those convinced by the…
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…
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…
Design-Based Ratio Estimators and Central Limit Theorems for Clustered, Blocked RCTs
Peter Z. Schochet, Nicole E. Pashley, Luke W. Miratrix +1
This article develops design-based ratio estimators for clustered, blocked randomized controlled trials (RCTs), with an application to a federally funded, school-based RCT testing…