Bayesian variable selection for genome-wide association study of grain traits in rice. [PDF]
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A Review of R Packages for Bayesian Model-based Clustering of High-dimensional Multivariate Environmental Exposures. [PDF]
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Joint segmentation of multivariate Gaussian processes using mixed linear models
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Research on the construction of growth models for dominant tree species in the Manas River Basin, Xinjiang. [PDF]
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Best Practices for Developing Linear Models With Multiple Explanatory Variables. [PDF]
Adv Genet (Hoboken)Li B, Li X.
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How the characteristics of a virtual environment affects the perception of travel distance through it. [PDF]
PLoS OneBansal A, McManus M, Harris LR.
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Correction: Comparing the ability of the IAT and of the SC-IAT to account for behavioral outcomes: a re-analysis using linear mixed-effects models. [PDF]
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When the outcome is compositional: A method for conducting compositional response linear mixed models for physical activity, sedentary behaviour and sleep research. [PDF]
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Modeling information demand in the framework of probabilistic reasoning. [PDF]
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plmmr: an R package to fit penalized linear mixed models for genome-wide association data with complex correlation structure. [PDF]
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