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A successful modelling effort is necessarily an iteration between model analysis and experiments.
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In order to evaluate this component's behaviour, this paper presents a comparison between results obtained from a finite element model analysis and experiments.
According to dominant model analysis between controls and CHD cases, a statistically significant difference was found for the mutation genotypes CT+TT and wild-type genotype CC (p=0.003, OR=2.307, 95% CI 1.329 to 4.003).
Data analysis is done from following angles: analysis of the structure and utility of test samples, variables analysis of SMCCM and utility, model analysis of interaction between SMCCM and utility.
Good correlation between the finite element analysis and the model analysis is obtained in the chapter.
Table 6 presents the logistic model analysis between the self-reported HWWS rate and relevant demographic factors.
For comparison of SUVmean and SUVmax values of both 18F-FDG PET and 18F-FLT PET between reference and lesions, mixed model analysis was performed with random intercept for the patient using lme from the R package nlme.
The latter strikes a balance between model setup and analysis time, on one hand, and accuracy on the other, being capable of re-producing the cumulative build-up of soil pressure in cyclic deformation and the accumulation of permanent displacement of the wall, with an overall modeling and analysis effort in the order of few tens of minutes (on a standard consumer-grade laptop).
For comparison of treatment effects between groups, we used a mixed model analysis for the primary outcomes and for health-specific QoL.
The changes in serum levels in the lipid profile over time were compared between the groups using linear mixed model analysis after adjusting for age, sex, and BMI.
Continuous and categorical variables assessed at baseline were compared between groups using mixed model analysis or generalized estimating equations, respectively.
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