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In any event, producing multiple models with staged introduction of predictor and control variables implicitly treats all as equally important or unimportant until proven otherwise.
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Often, demographic and clinical covariates are combined in a Cox model with staging information from the American Joint Committee on Cancer AJCCC) staging system to predict a patient's survival to improve treatment recommendations [ 2- 7].
Thus, it is meaningful to consider models with stage structure.
Therefore, the ecological models with stage structure are more reasonable than the ones without stage structure.
All the developed models with stage as a single input failed to mimic stage discharge relationship.
However, up to now, there have been few results about discrete epidemic models with stage structure.
In recent years, epidemic models with stage structure have been studied in many papers [11 17].
Most of the researchers consider models with stage structure only for one species.
The bifurcation analysis and control of a class of singularity biological economic models with stage structure were researched in [6].
According to the theory of T-S fuzzy descriptor system control, the control of a class of singular bioeconomic models with stage structure was studied in [5, 7, 8] by constructing a T-S fuzzy descriptor model.
Since the seminal work by Aiello and Freedman [5], species growth models with stage structure have drawn considerable attention (for more details as regards these studies, one can refer to [6, 7]).
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