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Continuous secondary outcomes will be analyzed using linear mixed models.
The primary and secondary longitudinal outcomes will be analyzed using linear mixed modelling (LLM) [ 51].
These data will be analyzed using linear mixed models to account for correlations of measurements within the same individual.
The quantitative data will be analyzed using linear or multilevel models complemented with an interpretive approach to qualitative data analysis.
Group differences will be analyzed using linear mixed models for continuous data and generalized estimating equations (GEE) for categorical data.
The comparison of the rate of eGFR decline will be analyzed using linear mixed models (Generalized Estimating Equation) [ 16].
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Many fracture tests and practical situations of interest for polymers and composites can be analyzed using linear-elastic fracture-mechanics.
Data were analyzed using linear mixed models enabling us to display the effects of both the considered explanatory variables and their interactions.
Linearity and PCR efficiency of the qMSP assay were analyzed using linear regression analysis.
Microarray gene expression data were analyzed using linear models implemented in the limma package85 of Bioconductor.
The sample data are analyzed using linear and quantile regressions.
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