Given the large number of models that are usually tested during learning evaluations, and the occasionally protracted run times seen with complex models, investment in a dedicated computer system to house modeling software should be considered.
However, given the large number of potential models, the posterior distribution cannot be directly provided.
Given the large number of individual models, the consistency of associations across the individual PCB and PBDE congeners and PCB groupings is reassuring.
However, given the large diversity of approaches, models, and software used in the field of IRT it is difficult to recommend a single set of guidelines for all types of studies, and an expansion or modification of their guidelines might be needed.
Given the large variety of available tools, model and tuning steps, it is clear that the results of a given application depend on the model builder's preferences, dedication, and experience.
Monetary income has been eliminated from the model given the large proportion of non-responses (45.2%).
On the basis of the percentage of data missing in this study (5.3%), 20 sets of data were imputed.> In order to develop the best model given the large number of variables available, the following three-stage process was followed.
Interaction terms have not been included in the model as given the large numbers of patients all interaction terms are found to be significant and make interpretation of the model very difficult.
Given the large differences between the two models, it is challenging to perform accurate apples-to-apples cost comparisons between on-premises data centers and cloud infrastructure that is offered as a service.
Therefore, Bayesian approaches have emerged as the best-suited one for PBPK models, given the large amount of prior information they incorporate.
