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On unbalanced group sizes in cluster randomized designs using balanced ranked set sampling

Soohyun Ahn, Xinlei Wang and Johan Lim

Statistics & Probability Letters, 2017, vol. 123, issue C, 210-217

Abstract: In cluster randomized designs structured with balanced ranked set sampling, we propose a pooled pivotal test to improve the power of detecting any treatment effect by stabilizing the estimation of variance components when groups are unevenly sized.

Keywords: Hierarchical linear models; Treatment effect; Pivotal test; Pooled variance estimator; Unbalanced groups (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1016/j.spl.2016.12.007

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