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A novel model to evaluate spatial structure in thinned conifer-broadleaved mixed natural forests
In order to ensure the effective analysis and reconstruction of forests, it is key to ensure the quantitative description of their spatial structure....
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Nonlinear mixed-effect branch growth model development for planted Korean pine in Northeast China
Branch growth is an important aspect of the tree growth process. Studying the branch growth pattern is important for understanding the growth of...
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Predicting the rate of spread of mixed-fuel surface fires in northeastern China using the Rothermel wildfire behaviour model: a laboratory study
The rate of fire spread is a key indicator for assessing forest fire risk and develo** fire management plans. The Rothermel model is the most...
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A climate sensitive nonlinear mixed-effects height to crown base model: a study focuses on Phyllostachys pubescens
Key messageA climate-sensitive height to crown base (HCB) model developed by combining a nonlinear mixed-effects model and dummy variable approach...
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Canonical transformation for multivariate mixed model association analyses
Key messageIn extension of Single-RunKing to analyze multiple correlated traits, mvRunKing not only enlarged number of the analyzed phenotypes with...
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Mixed Model Analysis of Genetic Variances
Linear mixed models are introduced to handle pedigree data for estimating genetic variances. Moment method, maximum likelihood method, and restricted...
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A mixed-effects stochastic model reveals clonal dominance in gene therapy safety studies
BackgroundMathematical models of haematopoiesis can provide insights on abnormal cell expansions (clonal dominance), and in turn can guide safety...
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Introduction to Generalized Linear Mixed Models
Chapter 15 investigated linear mixed-effects models (LMMs). This chapter introduces generalized linear mixed...
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Linear Mixed Models
The linear mixed model framework is explained in detail in this chapter. We explore three methods of parameter estimation (maximum likelihood, EM...
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Crown width prediction for Larix olgensis plantations in Northeast China based on nonlinear mixed-effects model and quantile regression
Key messageNew allometric crown width models were developed for Larix olgensis based on a large dataset from plantations in northeastern China using...
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Comparison of mixed model based approaches for correcting for population substructure with application to extreme phenotype sampling
BackgroundMixed models are used to correct for confounding due to population stratification and hidden relatedness in genome-wide association...
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Generalized Linear Mixed Models for Longitudinal Microbiome Data
Chapter 16 investigated some general topics of generalized linear mixed-effects models (GLMMs). This chapter...
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How to treat mixed behavior segments in supervised machine learning of behavioural modes from inertial measurement data
The application of supervised machine learning methods to identify behavioural modes from inertial measurements of bio-loggers has become a standard...
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Linear Mixed-Effects Models for Longitudinal Microbiome Data
Longitudinal microbiome data analysis can be categorized into two approaches: univariate longitudinal analysis and multivariate longitudinal...
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Deadenylation kinetics of mixed poly(A) tails at single-nucleotide resolution
Shortening of messenger RNA poly(A) tails, or deadenylation, is a rate-limiting step in mRNA decay and is highly regulated during gene expression....
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High work satisfaction despite high workload among European organic mixed livestock farmers: a mixed-method approach
Organic mixed livestock farming offers a range of potential benefits for the environment. Due to the diversification of enterprises, this farming...
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An IBD-based mixed model approach for QTL map** in multiparental populations
Key messageThe identity-by-descent (IBD)-based mixed model approach introduced in this study can detect quantitative trait loci (QTLs) referring to...
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Visual perceptual learning of feature conjunctions leverages non-linear mixed selectivity
Visual objects are often defined by multiple features. Therefore, learning novel objects entails learning feature conjunctions. Visual cortex is...
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An application of mixed-effects model to evaluate the role of age and size on radial variation in wood specific gravity in teak (Tectona grandis)
To test whether radial variation of wood specific gravity (WSG) is controlled by tree age or tree size in teak ( Tectona grandis L.f) plantation...
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Validating a multi-locus metabarcoding approach for characterizing mixed-pollen samples
BackgroundThe mutualistic interaction between entomophilous plants and pollinators is fundamental to the structure of most terrestrial ecosystems....
