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For analyses of categorical outcomes, non-linear mixed modelling methods will be used.
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Two modelling methods were considered, the Poisson Regression Model (PRM) and the Negative Binomial Model (NBM).
Beta cell function and insulin sensitivity will be assessed using validated modelling methods based on an OGTT or a mixed-meal tolerance test (MMTT), as well as empirical indices [ 14, 15].
For example, the description of the theory behind modelling methods is not part of the model.
One way forward is to model the structure of these proteins using similarity modelling methods.
Among qualitative modelling methods, we will utilize the context of rule-based modelling to model a whole-body level.
All models estimated in this paper could also be approached from a multilevel/linear mixed modelling perspective [ 23].
A generalised linear mixed modelling approach was adopted.
Both experimental and modelling methods are applied.
A detailed description of the employed modelling methods in a similar context is presented in our related work22.
Whiskers extend from lower to upper estimates per size class, accounting for uncertainties in both monitoring and modelling methods.
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