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Modelling has some advantages over non-parametric estimates by allowing more detailed exploration and quantification of differences between groups and can include continuous covariates, such as age at diagnosis[ 10].
Modelling has some less obvious benefits too, as the process of constructing the model promotes systematic thought and generated insights about the nature of its components and how they interact, which may help to identify areas in which empirical research is most needed, help generate new epidemiological or clinical hypotheses, and help produce novel ideas for useful interventions.
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The single-payer model has some strong advantages.
The spectrum model has some relevance, especially for internalizing disorders.
The overall model has some empirical aspects and can therefore be considered as semi-rigorous.
However the realistic model has some limitations including long calculation time and difficulties of generating a suitable mesh.
At least one iPhone model has some units with a defective power cell, but other factors like age and temperature can make the battery conk out.
This model has some advantages.
However, the MNL model has some limitations.
The model has some application conditions.
The model has some advantages over the classic CA model.
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