302 citations
- Harvard UniversityUS4 papers
- Stanford UniversityUS2 papers
- Ca' Foscari University of VeniceIT1 paper
- California University of PennsylvaniaUS1 paper
- Harvard University PressUS1 paper
- Instituto de Engenharia de Sistemas e Computadores Investigação e DesenvolvimentoPT1 paper
- Massachusetts Institute of TechnologyUS1 paper
- Rutgers, The State University of New JerseyUS1 paper
- University of California, BerkeleyUS1 paper
- University of CanterburyNZ1 paper
- University of ChicagoUS1 paper
- University of FloridaUS1 paper
Showing 2020Show all
2 papers · 1 filter
stat.ME2020★ 3 cited
A Lasso-OLS Hybrid Approach to Covariate Selection and Average Treatment Effect Estimation for Clustered RCTs Using Design-Based Methods
Peter Z. Schochet
Statistical power is often a concern for clustered RCTs due to variance inflation from design effects and the high cost of adding study clusters (such as hospitals, schools, or com…
stat.ME2020★ 19 cited
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…