Zero-inflated generalized Poisson regression mixture model for mapping quantitative trait loci underlying count trait with many zeros

DOI10.1016/j.jtbi.2008.10.003zbMath1400.62257OpenAlexW1995930299WikidataQ46269759 ScholiaQ46269759MaRDI QIDQ1798744

Wenzhao Yang, Yuehua Cui

Publication date: 23 October 2018

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

Full work available at URL: https://doi.org/10.1016/j.jtbi.2008.10.003

zbMATH Keywords

EM algorithmquantitative trait locizero-inflated count datazero-inflated generalized Poisson regression model

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Parametric hypothesis testing (62F03) Point estimation (62F10) Genetics and epigenetics (92D10)

Related Items (5)

Type I multivariate zero-inflated Poisson distribution with applications ⋮ Detecting over- and under-dispersion in zero inflated data with the hyper-Poisson regression model ⋮ The k‐ZIG: Flexible Modeling for Zero‐Inflated Counts ⋮ Two-part zero-inflated negative binomial regression model for quantitative trait loci mapping with count trait ⋮ On the estimation of mixtures of Poisson regression models with large number of components

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• Zero-inflated generalized Poisson models with regression effects on the mean, dispersion and zero-inflation level applied to patent outsourcing rates
• A new look at the statistical model identification

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