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Exact(5)
For the other model variables, the projections are made to 2030.
They included residual plots of the residual versus fitted values, "hettest" to test heteroskedasticity of the model variables, the variance inflation factors to test for multicollinearity, and estimates of adjusted R square and F statistics of the regression model [ 61].
The model variables (the variables of the dose response, the rate sensitivity and the potentiation factor) were estimated from the glucose and C-peptide concentrations by regularised least squares, as previously described [ 23, 24].
* P-value < 0.001; †P-value = 0.007 The present study used 2009 population data and the two model variables (the proportion under age 15 years and the life expectancy) to calculate a "predicted" (the norm) PD for a country.
Using the inferred estimates for the model variables, the marginal probability of a gene set being active in a given comparison is given by the following expression: (1) The full details of our model are described in Supplementary Material S5.
Similar(54)
BMI/5 is the continuous, model variable; the OR represents an increase of 5 units of BMI.
In the final model, variables from the first and the second model were put together.
A final note is needed on the calibration of the two model variables representing the cholinergic and dopaminergic tones, respectively.
Model variables encode the structure of the synthetic circuit and quantify the protein levels.
New models were constructed comprising the reference model variables plus the addition (separately) of each biomarker.
The input model variables and the assumed probability distributions were presented in Table 2.
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