Randomization in the Design of Experiments

70 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.

Rerandomization and regression adjustment (2019, methodology): “The CRE balances covariates on average, but an unlucky draw of the treatment vector can result in large covariate imbalance (Student, 1938; Cox, 1982, 2009; Bruhn and McKenzie, 2009; Morgan and Rubin, 2012).”
Rerandomization to improve covariate balance in experiments (2012, methodology): “(22) One possible method of rerandomization, suggested by Moulton (2004), Maclure et al. (2006), Bruhn and McKenzie (2009) and Cox (2009), is to place bounds separately on each entry of XT −XC and ensure that each covariate difference is within its specified caliper.”