Analysis of longitudinal zero-inflated count data using overall marginalized hurdle models
Statistical Methods in Medical Research: An International Review Journal
Published online on June 11, 2026
Abstract
Statistical Methods in Medical Research, Volume 35, Issue 7, Page 1446-1462, July 2026.
Longitudinal zero-inflated count data frequently arise in various fields such as medicine and social sciences. Standard hurdle models separate zero and positive counts, but fail to directly infer marginal means, limiting their ability to assess overall ...
Longitudinal zero-inflated count data frequently arise in various fields such as medicine and social sciences. Standard hurdle models separate zero and positive counts, but fail to directly infer marginal means, limiting their ability to assess overall ...