Whereas the previous model contained a complex synthesis model and a simple linear relationship between degradation and synthesis submodels, here we simplified the synthesis model significantly, revised regulation, and revised the interconnection between submodels.
Finally, to assess residual confounding by variables excluded by this procedure, a further model containing all available covariates was estimated (here termed as a 'fully adjusted' model).
Here, we use the NativeSkin® model containing full-thickness human skin embedded in a proprietary matrix.
Here, based on the AICc value, the first model containing both the discretionary and ordinary variables, together with spatial lag, has been identified as the model most justified by data, also referred to as the AIC 'best-ranked' model.
Last, because the edges in the network model described here are supported by causal relationships directly observed in published experiments, the network model contains a unique level of biological transparency.
Each new model contains huge technical risks.
The New York City model contains 32 variables.
The next model contains two NLSs.
This model contains 31 parameters.
The model contains two parts.
