Randomization Inference in a Group–Randomized Trial of Treatments for Depression

92 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the School Voucher System in Chile (2014, methodology): “To make qsji resistant to outliers, we use the ranks of the residuals when Ysji is regressed on the student level covariates using Huber’s method of m-estimation Small et al. (2008). We regressed the outcome, test scores recorded in 2006, on student level test scores recorded in 2004 when the studen”
Optimal Multilevel Matching in Clustered Observational Studies: A Case Study of the Effectiveness of Private Schools Under a Large-Scale Voucher System (2014, methodology): “To make qk ji resistant to outliers, we use the ranks of the residuals when Ykji is regressed on the student level covariates using Huber’s method of m-estimation (see Small, Have, and Rosenbaum 2008).”