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Three different model forms were used to explain the radial variation in SGA.
Two model forms were used to explain the radial variation in MFA.
Linear and nonlinear model forms were evaluated for their ability to predict the radial variation in SGA.
A number of different model forms were then evaluated for their ability to explain the radial trends in MFA.
Both model forms were helpful to our research in understanding the variables and problem to be explained.
A number of different model forms were then evaluated for their ability to explain the radial trends in SGA.
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Although use of the model forms is not required, lessors using them properly will be deemed to be in compliance with the regulation.
Additional analysis demonstrates that the two different model forms are structurally distinguishable for observation of both glucose and insulin.
This is due to the resultant model forms being more parsimonious and the use of a non-iterative search for data transformations and regression coefficients.
Parameterizations of model forms are given in Additional file 1: Table S2 see also [ 8].
How comparisons among these model forms are used to make inference about biological process is described in the next section.
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