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In fact, general purpose tools usually impose explicit coding of mathematical model equations or non-intuitive system representations, whereas specialised software use domain-specific notations that allow efficient and convenient model building only for special classes of systems.
This type of modeling uses a physical network approach to model building: only requires to join the physical components with physical connections to define the underlying dynamic equations of the system to be modeled.
To avoid colinearity in the model building, only one baseline CGM measure of hypoglycemia (percentage of values ≤70 mg/dL) was included in the models.
In the previously mentioned steps (i.e., model building), only one fifth (n = 5) of the collected adult data set was used, whereas the remaining data (n = 22) were used later for a subsequent model verification.
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To fulfil the standards of external validation, the test data set has to be independent not only from model building but also from model selection.
Specifically, we assume that model building is only performed using the content of a Data Subset (as in active learning).
Further model building included only categorical variables in which the reference category (missing value) comprised of at least 20% of cases.
We used a parsimonious approach towards model building and only included covariates in the multiple logistic regression models if they were associated with any self-reported symptom with an p < 0.05.
The Cambridge method basically consisted of model building, not only in the literal sense (piecing together bits of wire and metal to come up with a plausible three-dimensional structure), but also in the figurative sense: putting together pieces of information collected from others, such as Chargaff's discovery concerning the 1 1 ratios of base-pares, an important clue for solving the DNA puzzle.
Also large P and small N problem prevents the estimation of the joint effect of all markers and thus prediction model building has been based only on marginal effects of variants [ 4– 6].
Because of limitations inherent in the SÆfety Workssoftware, certain analyses (e.g., calculations and model building involving dose, conducted only for MMX mesalazine patients and comparators remaining after propensity-score matching) were conducted outside of the SÆfety Worksplatform using SAS, version 9.2 (SAS Institute Inc., Cary, NC, USA).
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