New weighted estimating approaches for marginal association of paired outcomes under informative cluster and subgroup sizes, evaluated with a custom simulator separating unit-level and cluster-level associations and applied to NHANES oral-health data.
Inference for marginal linear models for clustered longitudinal data with potentially informative cluster sizes.Statistical Methods in Medical Research, 20(4):347–367
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Estimating Association Between Paired Outcomes in Clustered Data with Informative Subgroup Size
New weighted estimating approaches for marginal association of paired outcomes under informative cluster and subgroup sizes, evaluated with a custom simulator separating unit-level and cluster-level associations and applied to NHANES oral-health data.