Choice of link and variance function for generalized linear mixed models: a case study with binomial response in proteomics

DOI10.1080/03610926.2019.1599021OpenAlexW2942563156MaRDI QIDQ5077502

Carles Marco-Llorca, Hans-Peter Piepho, W. A. Malik, Kenneth W. Berendzen

Publication date: 18 May 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2019.1599021

zbMATH Keywords

ANOVAvariance functionquasi-likelihoodlink functionproteomicsGLMM

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

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• Parametric link modification of both tails in binary regression
• On selecting parametric link transformation families in generalized linear models
• Goodness of Link Tests for Generalized Linear Models
• On two families of transformations to additivity for binary response data
• Orthogonalizing parametric link transformation families in binary regression analysis
• Discrimination among some parametric models
• Numerical Analysis for Statisticians
• Generalized linear mixed models a pseudo-likelihood approach
• Generalized Linear Models with Random Effects

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