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"multilevel linear regression" is a correct and usable phrase in written English.
It can be used in the context of statistical analysis, and is a type of regression analysis that takes into account both fixed and random effects. For example, "The researchers used multilevel linear regression to analyze the data in order to account for the between-group variation in results."
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In general, the estimation for multilevel linear regression models usually proceeds with the maximum likelihood method.
We use multilevel linear regression to estimate the determinants of trip length.
The shift schedule characteristics were analyzed separately and combined using multilevel linear regression models.
To address the second research question, a series of multilevel linear regression models was formulated for each country.
For the two dependent variables of physical functional status and depressive symptoms, the study used multilevel linear regression models.
Using multilevel linear regression, significant associations were found between several aspects of building design and quality of life.
(iii) Analysis methods For the two dependent variables of physical functional status and depressive symptoms, the study used multilevel linear regression models.
For this analysis, descriptive statistics analysis and multilevel linear regression analysis were applied and tested by using the statistical software SPSS version 20.
Data were analysed using multilevel linear regression.
The multilevel linear regression model explained 46.35% of the variance.
Multilevel linear regression with imputed data (20 data sets).
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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