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We tested three candidate growth models using mixed-effect modelling approaches.
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Second, we modeled the NICE data using mixed-effects logistic models, but modeled the Statistics Netherlands data and Dutch Hospital Data using ordinary logistic models.
using Mixed Effect Model (also known as Mixed ANOVA Model).
Statistical analysis was performed using mixed-effects models.
Treatment effects were compared using mixed-effects models.
The relationships of these predictors with longitudinal cognitive ability were analyzed using mixed-effects models.
HbA1c levels and hypoglycemic events during the study in the two groups of participants were analyzed using mixed-effects models.
Even if the strategy of using AIC leads to optimal variable selection, the question arises as to whether this is also the case when using mixed-effects models.
To assess the within- and between-woman variability and reproducibility of blood Mn and hair Mn concentrations, we calculated the intraclass correlation coefficient (ICC) using mixed-effects models.
First, we quantified the degree of heterogeneity for each marker using mixed-effects modeling.
To determine the mechanisms of therapeutic change based on the intended effects of each treatment, a mediation analysis will be conducted using mixed-effects modelling.
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