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"mixed linear model" is a correct and usable phrase in written English.
It can be used to describe an approach for analyzing data that combines elements of both linear regression and other types of modeling. For example, "We used a mixed linear model to assess the relationship between income and purchasing behavior."
Exact(60)
Data were analyzed by a mixed linear model (Proc Mixed, SAS 1992), and results presented as LSmeans ± SEM.
We will use mixed linear model analysis (Proc Mixed in SAS® 8) to quantify these differences.
Mixed linear model.
Mixed linear model approaches were used for statistical analysis.
We used generalized linear model (GLM) and Mixed Linear Model (MLM) functions for the analysis.
The mixed linear model uses both fixed and random effects which incorporates kinship among the individuals.
Tassel 3.0 software and the MLM (mixed linear model) were used in the analysis.
The primary outcome was compared using a mixed linear model, adjusting for the period effect.
The mixed linear model (MLM), which accounts for population structure was used for GWA mapping.
A mixed linear model tested the effect of soup portion size on intake.
Data was analyzed using a mixed linear model panelist, order and treatment (sample) effects.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com