Abstract: When seeking for a sparse solution of a linear model, a common technique is the search of a solution with minimum ℓ 1 norm. In this paper, we present a new approach for the case of sparse ...

The analysis of multi-environment trials (MET) data in plant breeding and agricultural research is inherently challenging, with conventional ANOVA-based methods exhibiting limitations as the ...

Abstract and details Bayesian methods furnish an attractive approach to inference in generalized linear mixed models. In the absence of subjective prior information for the random-effect variance ...

The linear mixed effects model stands as one of the most fundamental and widely employed methods, presuming a linear relationship between gene expression levels and both fixed and random effects, with ...

As expansions of LMMs, generalized linear mixed models (GLMMs) can be used to analyze the data arising from several non-normal statistical distributions, including the discrete binomial, Poisson, and ...

QPCRinR is a powerful web app for the analysis of RT-qPCR data with Linear Mixed Models. It is designed for testing multiple factors and combine experiments in a simple and interactive manner ...

Abstract The issues of model-based clustering and classification of longitudinal data have received increasing attention in recent years. In this paper, we propose a finite mixture of multivariate t ...

Article citations More>> Landau, S., & Everitt, B. S. (2004). Analysis of Repeated Measures II: Linear Mixed Model. In A Handbook of Statistical Analysis Using SPSS (pp. 194-215). Chapman & Hall. has ...