In this study, the Von Bertalanffy, Richards, Gompertz, Brody, and Logistics non-linear mixed regression models were compared for their ability to estimate the growth curve in commercial laying hens.

Linear mixed models (LMM) were developed to analyse non-normal data that has a multilevel nesting structure. • The author of this page (Liberato Camilleri) together with other researchers ...

Our unified framework performs sparse variable selection using graph-structured or tree-guided structures in a low-rank linear mixed model. Additionally, we extend our approach to high-dimensional ...

A New Approach to Model Evaluation Using Generalized Linear Mixed Models. Antje Nuthmann 1,2 * Wolfgang Einhäuser 3 Immo Schütz 3 * 1 Department of Psychology ... Each panel in the facet plot presents ...

P910 Introduction: Determining an optimal mathematical model using a model selection method for calculating time-integrated activities (TIAs) is an important step in individualized molecular ...

To select the best degradation model in SPSS, I’d first organize my data, including performance measures and covariates. I’d visualize the data to spot trends and outliers.

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 been cited by the ...

Analysis of Repeated Measures II: Linear Mixed Model. In A Handbook of Statistical Analysis Using SPSS (pp. 194-215). Chapman & Hall. has been cited by the following article: TITLE: Effect of ...

To address this problem, a multi-attribute directed graph is proposed, in which a determined vehicle path associated with the attributes of job and machine is defined as a node and an undetermined ...

Statistical analysis was performed using SPSS software (version 22.0). A multilevel mixed effect model was used to analyze BMD loss. Level one was the patient’s relevant measurements at different time ...