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The phrase "mixed effect model" is a correct and usable part of a sentence in written English.
It is typically used in the context of statistics and refers to a statistical model that accounts for both fixed and random effects. Example: "The researchers used a mixed effect model to analyze the impact of the new medication on patients' symptom severity over time."
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Data were analysed using a linear mixed effect model.
Cumulated N2O emissions and soil data of 2012 were assessed with a linear mixed effect model with field replication as random effect and clay content as covariate.
A generalised linear mixed effect model was used to analyse the results.
However, in some cases, a two-way mixed effect model has also been applied [26].
using Mixed Effect Model (also known as Mixed ANOVA Model).
The P3 activity of both T1 and T2 was analyzed using a mixed effect model.
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The blue line represents a linear mixed-effect model fitted by using quadratic splines with one knot.
Mixed-effect model repeated measure.
One such variant is the mixed-effect model.
The R-package lme4 [52] was used to fit this mixed-effect model.
Writing the linear mixed-effect model of the form shown in (2) yields (6).
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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