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Updated: Feb 6, 2026

Construction and Systematical Symmetric Studies of a Series of Supramolecular Clusters with Binary or Ternary Ammonium Triphenylacetates
Published on: February 15, 2016
Modeling clustered binary data with excess zero clusters
1Biostatistics, Epidemiology & Research Design Module, Georgetown-Howard University Center for Clinical & Translational Science, Howard University College of Medicine, Washington, DC, USA.
Abstract:
We establish a zero-inflated (random-effects) logistic-Gaussian model for clustered binary data in which members of clusters in one latent class have a zero response with probability one, and members of clusters in a second latent class yield correlated outcomes. Response probabilities in terms of random-effects models are formulated, and maximum marginal likelihood estimation procedures based on Gaussian quadrature are developed. Application to esophageal cancer data in Chinese families is presented.
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