BG2: Bayesian variable selection in generalized linear mixed models with nonlocal priors for non-Gaussian GWAS data. [PDF]
BMC Bioinformatics, 2023 Xu S, Williams J, Ferreira MAR.
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MathematicsEnhancing model interpretability remains an ongoing challenge in predictive modelling, especially when applied to simulation data from complex systems.
Shengkun Xie +2 more
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PLmixed: An R Package for Generalized Linear Mixed Models With Factor Structures. [PDF]
Appl Psychol Meas, 2018 Jeon M, Rockwood N.
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The Estimation of Item Response Models with the lmer Function from the lme4 Package in R [PDF]
Journal of Statistical Software, 2011 In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Paul De Boeck +6 more
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Estimating power in (generalized) linear mixed models: An open introduction and tutorial in R. [PDF]
Behav Res Methods, 2021 Mixed-effects models are a powerful tool for modeling fixed and random effects simultaneously, but do not offer a feasible analytic solution for estimating the probability that a test correctly rejects the null hypothesis.
Kumle L, Võ ML, Draschkow D.
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Meta-analysis of Proportions Using Generalized Linear Mixed Models. [PDF]
Epidemiology, 2020 Supplemental Digital Content is available in the text. Epidemiologic research often involves meta-analyses of proportions. Conventional two-step methods first transform each study’s proportion and subsequently perform a meta-analysis on the transformed ...
Lin L, Chu H.
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Implementation of generalized estimating equations and mixed linear models in Python [PDF]
Yixue xinzhi zazhi, 2022 Objective Explore the implementation of generalized estimation equations (GEE) and mixed linear models (MLM) in longitudinal data analysis using Python software, and expand its application in statistical analysis.Methods GEE and MLM were constructed by ...
Kui-Zhuang JIAO +5 more
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Inference for threshold models with variance components from the generalized linear mixed model perspective [PDF]
Genetics Selection Evolution, 1995 Visscher A, Buist W, Engel B
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CytoGLMM: conditional differential analysis for flow and mass cytometry experiments
BMC Bioinformatics, 2021 Background Flow and mass cytometry are important modern immunology tools for measuring expression levels of multiple proteins on single cells. The goal is to better understand the mechanisms of responses on a single cell basis by studying differential ...
Christof Seiler +7 more
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Different approaches to characterize artificial breeding sites of Aedes aegypti using generalized linear mixed models. [PDF]
Infect Dis Poverty, 2020 As no globally accepted dengue vaccines or specific antiviral therapies are currently available, controlling breeding sites of Aedes aegypti is a target to prevent dengue outbreaks.
Flaibani N +3 more
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