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Exact(5)
Some difference in absolute performance can be seen for the different training/test splits, however, the performance progression across all models follows a similar trend with a gradual increase in RMSD up to 60% of the data being removed.
Figure 2B shows that in the networks generated by the models follows a power law, indicating that these networks exhibit a hierarchical structure.
The protocol for the extraction of MRL rate constants from ARL models follows a series of steps as shown in Figure 6, which are described in detail below.
The LR statistic 2 log[Pr(D| H1)/Pr(D| H0)] for the models follows a χ distribution, with degrees of freedom equal to the difference of the number of parameters in H0 and H1.
The difference in this between two models follows a chi-square distribution with the number of degrees of freedom equal to the difference in the numbers of parameters between the models [ 37]. 95% credible interval estimates for the mean intercept and the random variances at individual, ward and unitary authority levels were derived from the MCMC analysis.
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As the models follow a given standard, they can be placed in a repository and used by other researchers.
The deterministic two-patch population models followed a published framework [ 49] and were carried out in R v 2.6.2.
The models follow a theoretically reasoned temporal logic, so it is difficult to justify a priori why another model should be selected.
All the semi-quantitative models followed a similar approach using proxy indicators (parameters related to the level of risk and for which enough data are available).
The comparison of the biases of all models followed a rather similar trend as the predictive abilities showed in Table 7.
The second model follows a chemical reaction engineering approach: the cell wall is modeled as layers, where each layer is made up of "blocks".
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