GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries

DOI10.1016/j.csda.2014.11.014OpenAlexW2046634745WikidataQ41527744 ScholiaQ41527744MaRDI QIDQ1623819

Maiying Kong, Steven M. Levy, Somnath Datta, Sheng Xu

Publication date: 23 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4303594

zbMATH Keywords

bootstrapsandwich variance estimatezero-inflated modelsgeneralized estimating equations (GEE)Iowa Fluoride Study

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (5)

Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution ⋮ GEE-based zero-inflated generalized Poisson model for clustered over or under-dispersed count data ⋮ Unit gamma regression models for correlated bounded data ⋮ Multilevel zero-inflated generalized Poisson regression modeling for dispersed correlated count data ⋮ Marginal regression models for clustered count data based on zero‐inflated Conway–Maxwell–Poisson distribution with applications

Uses Software

• bootlib

Cites Work

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• Longitudinal Data Analysis
• The S-U algorithm for missing data problems

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