Sentence examples for mixed linear modelling from inspiring English sources

The gene expression values were adjusted for significant technical variables (i.e., array lot number, RNA extraction date and time between blood collection and storage) using gene-wise mixed linear modelling [ 25].

Mixed linear modelling showed that upward appearance comparisons and psychological need frustration independently predicted several maladaptive appearance-based emotions and behaviours.

Mixed linear modelling was used to analyse differences in outcome between the intervention and control groups.

Longitudinal analysis determining changes from baseline was performed using mixed linear modelling with each patient treated as a random effect.

The HAQ score was modelled using generalised mixed linear modelling by TSS or progression in TSS (interval 0 1 year and 1 2 years) adjusted for age, sex, treatment and disease activity.

To control for within-patient correlation, generalised mixed linear modelling was used to model the dependent variable HAQ score by the absolute Sharp score (damage score) or the interval change in Sharp score, with age, sex, disease duration, treatment, Disease Activity Score (DAS) and C-reactive protein (CRP) levels as covariates.

We will use mixed linear model analysis (Proc Mixed in SAS® 8) to quantify these differences.

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.