As frequently described, model size and model composition are also affected by missing data.
Tables 2 and 3 show that for both measures of outcome, model composition was influenced by missing data (CCA vs. MI-5).
The model for composition is useful for predicting glucan, xylan, lignin, and ash with good uncertainties.
This leaves two alternative models: environmental models, where taxonomic composition is related to environmental variables (anthropogenic and/or natural, Table 2), and neutral models where taxonomic composition depends on geography (e.g., [37], [38]).
The final E-value, adjusted for model and sequence composition, is used to rank the hits.
It is especially suited to deal with complex products whose synthesis mechanisms are ill-defined by considering a simple stoichiometric description as part of a global metabolic model, or whose composition is unknown.
HRF (i.e., body composition, muscular strength, muscular endurance, cardiorespiratory fitness) can also be added to the model since body composition is influenced by PA, changes in muscle mass may affect insulin resistance, and in one recent healthy cohort study, cardiorespiratory fitness was found to decrease risk of breast cancer death through an unknown mechanism [ 53].
Their further study may be impossible without development of methods of model composition, which is complicated by the fact that several models describing the same processes could use different reaction chains or incomparable sets of parameters.
In the pet dog ownership model, household composition was the independent variable.
