Sentence examples for mixed effect models from inspiring English sources

We then constructed mixed effect models on the tune proportion for each sentence/question type.

) Linear and mixed effect models.

Data were analysed using mixed effect models with repeated measures.

Data were analyzed using mixed effect models by REML.

Nonlinear mixed effect models (NLMEM) are used in model-based drug development to analyse longitudinal data.

If not indicated otherwise, data were analyzed using linear mixed effect models.

We will employ linear mixed-effect models and cost-effectiveness analyses to evaluate the outcomes.

Major trends were then captured using linear mixed-effect models and a predictive generalized linear model effectively identified early trends connected to BCR.

All analyses are mixed-effect models with sessions and animals as random effects.

We used covariate-adjusted linear mixed-effect models to examine associations between BP and increased miRNA expression in both pooled and risk factor-stratified analyses.

Linear mixed-effect models were applied to evaluate changes over time.