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Age of onset, gender, familiality and age at assessment were modeled in multiple regression analyses with mean factor scale scores as the dependent variable.
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The ε−N curves of rubber layers are obtained by a specially designed displacement-controlled fatigue test using rubber specimens, while the inserted fabric braided layers which are excluded from the fatigue life assessment are modeled as an orthotropic material.
This assessment is modeled as a normal distribution with mean Qp and standard deviation 5; that is, the assessments are correct in the mean but not necessarily on a case-by-case basis.
The multi-method assessment is modelled on other large prevention trial studies, such as Fast Track [ 30, 31].
The exact interval between assessments is modelled in the analyses.
Additionally, system assessment can be modeled concurrently with safety and physical security by a risk-informed approach.
Similarly, risk assessments are model-based estimates and rely on water quality data as input, and so must be interpreted in this context.
Initially, retrospective fee assessments would be modelled upon listed factors (Table 1).
The primary outcome (global assessment of outcome) will be modelled using a binary logistic regression model.
Estimates of insulin resistance based on homeostatic model assessment were also significantly affected in subjects with the rs3741845 T allele.
Serum insulin and homeostasis model assessment were not associated with risk.
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