The quality appraisal instrument devised by Philips et al. [ 24] include dimensions of methodological quality corresponding to rationales for structure, structural assumptions, disease states/pathways, cycle length, and internal consistency.
We identified 22 items relating to the structure of the model and broadly classified them into 10 domains: 1) statement of decision problem/objective; 2) statement of scope/perspective; 3) rationale for structure; 4) structural assumptions; 5) strategies/comparators; 6) model type; 7) time horizon; 8) disease states/pathways; 9) cycle length; and, 10) parsimony.
However, neither the rationale for the model structure nor the structural assumptions were sufficiently clear.
The rationale for the model structure, the statement of scope/perspective, and the structural assumptions were not clear.
The model features a modular structure, borrowing from the underlying structure of the T21 model [34] (Figure 2), where similar structural assumptions are adopted and coupled with local data to create projections for several variables across sectors (including, for instance, energy demand, and greenhouse gas emissions).
We state next the structural assumptions that we impose on (1.1).
Suppose that the leading coefficients and lower terms satisfy the structural assumptions H1 and H3.
Of course, we still need certain structural assumptions in order to prove a representation theorem for Jeffrey's theory.
Potential bias and uncertainty may result from selective use of information, parameter precision, and structural assumptions underlying a model.
Typically, this dimensionality is simplified with either specific structural assumptions or by using mean field (or more sophisticated statistical) frameworks.
end{aligned} (1.4) Following [16, 17], we present the main structural assumptions on the nonlinear term f.
