These latter might be interesting as demonstrated by a class of spatial models, which explore the consequences of linking the model of spatial growth of precancerous cells with diffusion of the growth factors [ 50].
We also implemented branch-site models, which explore changes in ω for a set of sites in a specific branch of the tree to assess changes in their selective regime (Yang and dos Reis 2011).
The results from theoretical simulations are justified by the solar cell model, which explored the basic cell characteristics and parameters: open circuit voltage, short circuit current, fill factor and efficiency, as the functions of cell performance factors, like defect density, diffusion length, absorber layer thickness and band offset.
The same process as in the first stage was applied to get a stable model, which explored not only the marginal effects of the predictors but also the joint interaction effects between those predictors.
The current most widely accepted explanation of the details of this hypothesis is known as the Nice model, which explores the effect of a migrating Neptune and the other giant planets on the structure of the Kuiper belt.
Table 4 presents the results from the second model, which explores the association between the degree of cognitive functioning and the P-ADL functioning assessed simultaneously.
A model which explores person, place, and setting and practice factors can provide important information about the external validity of a trial, and could be applied to other clinical trials.
However in this section we provide a mathematical model which explores the method's performance under variation in key parameters; but we also emphasize that the RHH method is not based on or circumscribed by the presented model or its assumptions.
These same factors were discussed previously in the Socio-Behavioral Model of Anderson, which explored the determinants for CAM use in a model for health service utilization [ 54].
Our previous work [ 17], which explored model uncertainty by comparing results from five different models of the natural history of rotavirus infection, also reaffirmed that our companion model yielded results consistent with those from more complex natural history models.
