Sentence examples for mixed models refers from inspiring English sources

The term mixed models refers to the use of both fixed and random effects in the model.

A mixed potential model refers to the phenomena described by Fleming et al. as the Mixed Potential Theory (MPT), i.e. the observable potential difference is the superposition of all above potential differences.

This paper presents two mixed-integer linear programming (MILP) models (referred to as WST and SGST in the paper) for a family of four different M-machine, N-job flowshop sequencing problems.

Thus, we also considered a second mixed model, which we refer to as LMM2, where we refit the model given in Equation 6 excluding the term for ART adherence (β4 x).

This estimator and general modeling strategy are rooted in the multi-level modeling tradition, also sometimes referred to as mixed models or hierarchical linear models [100, 101].

We shall also avoid any theoretical discussion about the distinction between "methods" and "techniques", mixed "methods" vs mixed "models", and what exactly the term "mixed methods" does or should refer to.

Similarly, for H versus E a positive mean or maximum difference indicates an increase in the E group compared to the H group. P mean) refers to intergroup differences over time using mixed models analysis.

Models that incorporate random effects are commonly called generalised linear mixed models (GLMM), and those that account for non-linearity are referred to as generalised additive models (GAM) and when extended to include random effects they are known as generalised additive mixed models (GAMM).

Generalized linear mixed models.

Linear mixed models for longitudinal data.

Logistic regression, generalized linear models and generalized mixed models.