Marginal models for zero inflated clustered data

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On the Use of Zero-Inflated and Hurdle Models for Modeling Vaccine Adverse Event Count Data (2006, background): “Dobbie and Welsh (2001) and Hall and Zhang (2004) used a generalized estimating equations (GEEs) or an extension thereof to estimate hurdle and zeroinflated marginal models, respectively.”
The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives (2009, unknown): “If information identifying those individuals who are structural zeros is not available or the research interest is in the full population including non-drinkers, zero inflated Poisson models or zero inflated negative binomial models can be used ( Greene, 1994 ; Hall & Zhengang, 2004 ; Long, 1997 )”
Robust Estimation for Zero‐Inflated Poisson Regression (2009, methodology): “We are currently pursuing this goal by combining our approach with that of Hall & Zhang (2004) who proposed an estimation method for marginal ZI regression models for clustered data via generalized estimating equations.”