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Tip-over risk is accurately modelled using direction dependence.
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The anisotropic behaviour (with very low stiffness in the thickness direction) is modelled using stiff structural elements (trusses and beams).
A two-dimensional finite element model of the longitudinal direction of the system is modelled using advanced soil and structural constitutive models.
In this study, survival was directly modelled using classification models to optimise prediction accuracy.
Costs and QALYs were modelled using generalized linear models whilst MACE was modelled using logistic regression.
The channels are modelled using the pathloss model reported in [11].
CD4 cell count at viral set-point was modelled using linear regression models.
These reflections are often modelled using the Phong reflectance model [42].
Any-stage AKI and stage-3 AKI were modelled using separate logistic regression models.
We focus on biochemical networks modelled using ordinary differential equations (ODEs).
Rate variation among branches was modelled using the uncorrelated lognormal distribution (UCLD) model.
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