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Using Ranked Set Sampling With Cluster Randomized Designs for Improved Inference on Treatment Effects
2015
Figshare
This article examines the use of ranked set sampling (RSS) with cluster randomized designs (CRDs), for potential improvement in estimation and detection of treatment or intervention effects. Outcome data in cluster randomized studies typically have nested structures, where hierarchical linear models (HLMs) become a natural choice for data analysis. However, nearly all theoretical developments in RSS to date are within the structure of one-level models. Thus, implementation of RSS at one or more
doi:10.6084/m9.figshare.1581621
fatcat:b77yuboxnvdqddbtp65gugufpa