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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 ...

We evaluated the statistical power, family wise error rate (FWER) and precision of several competing methods that perform mass-univariate vertex-wise analyses o ...

This study presents linear mixed model-based approaches for MET data analysis. Ten MET grain yield datasets from national variety trials in Ethiopia were used. Randomized complete block (RCB) design ...

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 ...

Discover the most effective run-time strategies on the OpenAI o1-preview model, improving accuracy in medical language tasks.

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 ...

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 ...

Second, if the true heritability is used in the linear mixed-effect model, then the corresponding association test can be biased in the presence of Hardy–Weinberg disequilibrium. We provide some ...