Statistical methodology for paired cluster designs.

By Allan Donner. 1987

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The Econometrics of Randomized Experiments (2016, methodology): “For that statistic one can calculate the exact p-value under the null hypothesis that there is no effect of the treatment whatsoever using the Fisher randomization distribution. See for example Young (2016). Alternatively one can use adjustments to the pvalues to take account of the multiple testing”
Issues in the meta‐analysis of cluster randomized trials (2002, methodology): “The latter meta-analysis would be based on the application of standard techniques for matched-pair cluster randomization trials [49], with particular attention given to inspecting the homogeneity of intervention e ects across the combined trials.”
The essential role of pair matching in cluster-randomized experiments, with application to the Mexican Universal Health Insurance Evaluation (2009, methodology): “We begin by computing the standard error (the square root of the estimated variance) based on the general variance formula proposed in Donner (1987), Donner and Donald (1987) and Donner and Klar (1993), as well as the one based on our approximately unbiased alternative.”