Optimal Permutation Tests for the Analysis of Group Randomized Trials

By T. Braun, Ziding Feng. 2001

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Inequality and Happiness: Are Americans and Europeans Different? (2004, background): “14, this is not too surprising.(16) Interestingly, the coefficient on unemployment is negative and significant at the 9 percent level, even after we control for personal unemployment status.”
Attributing Effects to a Cluster-Randomized Get-Out-the-Vote Campaign (2009, methodology): “…of Raudenbush (1997) and Murray (2001); the Bayesian approach of Thompson, Warn, and Turner (2004), which commit to models for the response as a function of covariates; and the randomization-based method of Braun and Feng (2001), which models the treatment effect as constant on a log-odds scale.”
The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation (2009, methodology): “The existing applications include Gail et al. (1996) and Braun and Feng (2001), which combine permutation inference with parametric modeling, and Small, Ten Have and Rosenbaum (2008) which considers quantile effects using different and more modest assumptions.”
Randomization Inference in a Group–Randomized Trial of Treatments for Depression (2008, methodology): “5; Greevy, Silber, Cnaan, and Rosenbaum 2004; Imbens and Rosenbaum 2005); however, we use the group randomization (1.1) together with patient level compliance.”