19 citations · 58 across the 15 of their papers we have counts for
3 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…
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…