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FedGMMAT: Federated generalized linear mixed model association tests. [PDF]
PLoS Computational BiologyIncreasing genetic and phenotypic data size is critical for understanding the genetic determinants of diseases. Evidently, establishing practical means for collaboration and data sharing among institutions is a fundamental methodological barrier for ...
Wentao Li +3 more
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Model Selection in Linear Mixed Models
Statistical Science, 2013 Linear mixed effects models are highly flexible in handling a broad range of data types and are therefore widely used in applications. A key part in the analysis of data is model selection, which often aims to choose a parsimonious model with other desirable properties from a possibly very large set of candidate statistical models.
Samuel Müller +2 more
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Model Misspecification and Assumption Violations With the Linear Mixed Model: A Meta-Analysis
SAGE Open, 2018 This meta-analysis attempts to synthesize the Monte Carlo (MC) literature for the linear mixed model under a longitudinal framework. The meta-analysis aims to inform researchers about conditions that are important to consider when evaluating model ...
Brandon LeBeau +2 more
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Gradient boosting for linear mixed models [PDF]
The International Journal of Biostatistics, 2021 Abstract Gradient boosting from the field of statistical learning is widely known as a powerful framework for estimation and selection of predictor effects in various regression models by adapting concepts from classification theory.
Griesbach, Colin +2 more
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Phase II monitoring of auto-correlated linear profiles using multivariate linear mixed model [PDF]
International Journal of Industrial Engineering and Production Research, 2021 In the last few decades, profile monitoring in univariate and multivariate environment has drawn a considerable attention in the area of statistical process control.
Rassoul Noorossana, Somayeh Khalili
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International Journal of Applied Mathematics, Sciences, and Technology for National Defense, 2023 With the crisis in fuel consumption, it is necessary to save fuel consumption by selecting fuel that is quite efficient. The aim of the research is to examine the fuel consumption patterns of vehicles in an area that experiences various weathers so as to
Muhammad Nuraliffudin Saputra +5 more
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Linear quantile mixed models [PDF]
Statistics and Computing, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GERACI M, BOTTAI M
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, 2022 AbstractThe linear mixed model framework is explained in detail in this chapter. We explore three methods of parameter estimation (maximum likelihood, EM algorithm, and REML) and illustrate how genomic-enabled predictions are performed under this framework.
Brady T. West +3 more
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Knowledge Discovery and Recommendation With Linear Mixed Model
IEEE Access, 2020 We give a concise tutorial on knowledge discovery with linear mixed model in movie recommendation. The versatility of mixed effects model is well explained.
Zhiyi Chen +3 more
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Linear Mixed Model for Genotype Selection of Sorghum Yield
Applied Sciences, 2023 Data analysis using the General linear model assumes the factors to be fixed effects, and the BLUE method, which is based on their mean performance, is appropriate to select the best performing genotypes.
Mulugeta Tesfa +4 more
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