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Activity Number: 155 - Recent Developments in Statistical Methods for Data with Informative Cluster Size
Type: Topic Contributed
Date/Time: Tuesday, August 4, 2020 : 10:00 AM to 11:50 AM
Sponsor: ENAR
Abstract #312260
Title: Marginal Inference Under Informative Subgroup Size Induced by a Subject Level Covariate
Author(s): Somnath Datta*
Companies: University of Florida
Keywords: Informative cluster size; rank tests; clustered data

We will present a historical accounts of various extensions of the classical Wilcoxon rank-sum test to clustered data settings. Specific emphasis will be given to the ones targeted for various types of informativeness in the cluster size. Recently, one such rank-sum test (Dutta & Datta, 2016, Biometrics 72, 432-40) was developed to compare the group specific marginal distributions of outcomes in clustered data where the conditional distributions of outcomes depend on the number of observations from that group in a given cluster, a phenomenon referred to as informative intra-cluster group size. We will consider extensions of these results to more general covariates.

Authors who are presenting talks have a * after their name.

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