Marginal mean models for zero-inflated count data

DOI10.1111/biom.12492zbMath1390.62313OpenAlexW2296198112WikidataQ31047593 ScholiaQ31047593MaRDI QIDQ2827225

David Todem, Wei-Wen Hsu, KyungMann Kim

Publication date: 12 October 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4988952

zbMATH Keywords

overdispersionzero-inflated datalatent class modelsmarginal meancaries researchoverall covariate effectszero-inflated regression model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Measures of association (correlation, canonical correlation, etc.) (62H20) General nonlinear regression (62J02)

Related Items (7)

A score test for testing a marginalized zero-inflated Poisson regression model against a marginalized zero-inflated negative binomial regression model ⋮ A constrained marginal zero-inflated binomial regression model ⋮ Zero-Inflated Poisson Models with Measurement Error in the Response ⋮ Marginalized mixture models for count data from multiple source populations ⋮ Marginal zero-inflated regression models for count data ⋮ Generalized fiducial inference on the mean of zero-inflated Poisson and Poisson hurdle models ⋮ An Extension of Generalized Linear Models to Finite Mixture Outcome Distributions

Cites Work

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• On the Efficiency of Score Tests for Homogeneity in Two‐Component Parametric Models for Discrete Data
• Marginally Specified Logistic‐Normal Models for Longitudinal Binary Data
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• A Caveat Concerning Independence Estimating Equations with Multivariate Binary Data
• Semiparametric Analysis of Zero‐Inflated Count Data
• Sieve Maximum Likelihood Estimator for Semiparametric Regression Models With Current Status Data

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