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When additional chemical parameters were not important for a given method, the models developed were always tested against the TEST_BASIC data.
However, the studies used relatively small samples and, although internal cross-validation within the data set was attempted in one of the studies (14) through a bootstrap method, the models have never been validated in external data sets.
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For the physics-based method, the model parameters are kept constant and will not be updated.
By running a series of simulations (known commonly as the Monte Carlo method), the model allows us to quantify the uncertainty associated with the current polling snapshot.
Also, because of the flexibility of the PLSR method, the model will mimic the characteristics of the surveillance system, perhaps hiding characteristics particular to web queries.
In the second method, the modelling of the evolution of population allele frequencies was derived from a Wright-Fisher model.
To assess the accuracy of the GP method, the model was trained on subsets of all 260 G-quadruplexes.
Variance components used to estimate heritability were calculated with a mixed model method, the animal model, using ASREML software [67].
Thus we did not include feeding method in the models.
Methods: the model was developed using the WinBUGS software.
The letter is organized as follows: in section "Model data and methods" the model, simulations, and analysis methods are described.
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