Two-part zero-inflated negative binomial regression model for quantitative trait loci mapping with count trait

DOI10.1016/j.jtbi.2015.02.016zbMath1342.92131OpenAlexW2084231912WikidataQ41329309 ScholiaQ41329309MaRDI QIDQ530486

Abbas Moghimbeigi

Publication date: 1 August 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2015.02.016

zbMATH Keywords

cholesterol gallstoneextra zeronegative binomial regression modelQTL mapping

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) General biostatistics (92B15) General nonlinear regression (62J02) Genetics and epigenetics (92D10)

Cites Work

• On modeling count data: a comparison of some well-known discrete distributions
• A score test for zero-inflation in multilevel count data
• Zero-inflated generalized Poisson regression mixture model for mapping quantitative trait loci underlying count trait with many zeros
• A score test for extra zeros in negative binomial mixed models
• Robust Estimation for Zero-Inflated Poisson Regression
• A Score Test for Testing a Zero‐Inflated Poisson Regression Model Against Zero‐Inflated Negative Binomial Alternatives
• Multilevel zero-inflated negative binomial regression modeling for over-dispersed count data with extra zeros
• Minimum Hellinger Distance Estimation for Finite Mixtures of Poisson Regression Models and Its Applications
• Negative binomial and mixed poisson regression
• A Score Test for Zero Inflation in a Poisson Distribution
• Zero-Inflated Negative Binomial Mixed Regression Modeling of Over-Dispersed Count Data with Extra Zeros
• Generalized Poisson Distribution: the Property of Mixture of Poisson and Comparison with Negative Binomial Distribution

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