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General linear models approach was used to analyse the 'between-factor' × 'within-factors' interaction effect.
For mRNA stability, the linear mixed-effects models approach was used.
A Generalized Linear Mixed Models approach was chosen because repeated measures, which are intrinsic to cytogenetic techniques, are addressed within the model structure.
As suggested by Gueorguieva et al. [ 30], a mixed effects models approach was used in the statistical analysis to adjust for these missing values.
For tumor volume, repeated measures (RM) ANOVA with a mixed models approach was used to determine if the treatment groups behaved differently across time (i.e. the "group x time" interaction).
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To develop the modified Kalman filters a multi-linear models approach is used.
As a consequence only the results of the mixed models approach are presented.
Therefore, a best model approach was devised.
A bond graph modeling approach was used to build a dynamic model.
A General Linear Model approach was used to analyse the "between-factor" × "within-factors" interaction effect.
A General Linear Model approach was used to analyze the "between-factor" × "within-factors" interaction effect.
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