Modeling of paired zero-inflated continuous data without breaking down paired designs

DOI10.1080/02664763.2016.1254734OpenAlexW2556388349MaRDI QIDQ5138719

Renjun Ma, Tiago R. Pellegrini, M. Tariqul Hasan

Publication date: 4 December 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2016.1254734

zbMATH Keywords

random effectscompound Poisson distributionzero-inflatedpaired datatwo-part modelsratio of means

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• CRAN
• Tweedie

Cites Work

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• Unified computational methods for regression analysis of zero-inflated and bound-inflated data
• Comparison of hierarchical likelihood versus orthodox best linear unbiased predictor approaches for frailty models
• Fitting Tweedie's compound poisson model to insurance claims data
• A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
• Random effects Cox models: A Poisson modelling approach
• Fitting Tweedie's Compound Poisson Model to Insurance Claims Data: Dispersion Modelling
• Nested Generalized Linear Mixed Models: An Orthodox Best Linear Unbiased Predictor Approach
• Analyzing paired diagnostic studies by estimating the expected benefit
• Random effect models for repeated measures of zero-inflated count data

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