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Instead, researchers must clarify the process of modelling, as this is most critical to how the model performs and is interpreted.
Therefore, computer simulation modelling, as this study has shown, can support experimentation in a safe environment and the results can be made quickly available to those concerned.
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For the HDL-C and LDL-C models, percent change from baseline was the endpoint that was modeled as this was the primary response metric of interest.
A data vector modeled as Gaussian meets this criterion.
The observations are modeled as binomial observations from this population.
This is modeled as a constant (beta) here.
This was modeled as a binomial variable (Failure yes/no).
Our results (see Fig. 1) provide evidence that it is the crucial initiator of vasoregression in this model as well.
(Uber later adopted this model as well, with UberX).
Unfortunately, there are apparent shortfalls with this model as well.
Other services in the space have played around with this model as well.
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