A Comparative Study of Observation- and Parameter-driven Zero-inflated Poisson Models for Longitudinal Count Data

DOI10.1080/03610918.2014.950746zbMath1348.62063OpenAlexW2078516591MaRDI QIDQ2828775

Gary Sneddon, M. Tariqul Hasan, Shahariar Huda

Publication date: 26 October 2016

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2014.950746

zbMATH Keywords

compound Poissonserial correlationquasi-likelihoodzero-inflated Poisson models

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Point estimation (62F10)

Uses Software

• SAS
• GEE

Cites Work

• Unnamed Item
• Statistical Methods for the Analysis of Repeated Measurements
• Analyzing Excessive No Changes in Clinical Trials with Clustered Data
• Zero-Inflated Poisson Regression for Longitudinal Data
• Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
• Semiparametric Analysis of Zero‐Inflated Count Data
• Random effect models for repeated measures of zero-inflated count data

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