Abstract:Clustered data frequently arise in biomedical studies, where observations, or subunits, measured within a cluster are associated. The cluster size is said to be informative, if the outcome variable is associated with the number of subunits in a cluster. In most existing work, the informative cluster size issue is handled by marginal approaches based on within‐cluster resampling, or cluster‐weighted generalized estimating equations. Although these approaches yield consistent estimation of the marginal models, t… Show more
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