On Baseline Conditions for Zero-Inflated Longitudinal Count Data

DOI10.1080/03610918.2012.714032zbMath1291.62028OpenAlexW2188302575MaRDI QIDQ5415882

Antonello Maruotti, Valentina Raponi

Publication date: 19 May 2014

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

Full work available at URL: https://doi.org/10.1080/03610918.2012.714032

zbMATH Keywords

Hurdle modelzero-inflationlongitudinal count databaseline conditions

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Generalized linear models (logistic models) (62J12)

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Cites Work

• Unnamed Item
• A two-part mixed-effects pattern-mixture model to handle zero-inflation and incompleteness in a longitudinal setting
• Longitudinal analysis of repeated binary data using autoregressive and random effect modelling
• Zero-Inflated Poisson Regression for Longitudinal Data
• Two‐part regression models for longitudinal zero‐inflated count data
• Random effect models for repeated measures of zero-inflated count data