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A predictive index was constructed by modelling the values of independent variables and their coefficient of regression.
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Risk and the decision-makers' risk attitude can be addressed more explicitly by modeling the value contribution's expected value and risk separately, e.g., based on the certainty equivalent method.
This can be obtained by modeling the value range covered by a timebox with one uni-variate Normal, where the mean defines the mid point of the value range of the timebox and the standard deviation is proportional to a half of the height of the box.
Previous work has addressed this problem by modelling the potential values of uncertain parameters as probability distribution functions, and estimating the robustness of the system using Monte Carlo-based methods.
The linear trend was examined by modelling the median values for each sweet beverage intake category as a continuous variable.
We examined linear trend by modelling the median values for fruit consumption categories as a continuous variable.
29 Statistical linear trend was examined by modelling the median value of each quartile as an ordinal variable in a linear regression.
Tests of linear trend were conducted by modeling the median values of WC or BMI categories as a single continuous variable, the coefficient for which was evaluated using a Wald test.
A test for linear trend was performed by modeling the median values for rice consumption categories as a continuous variable.
We tested for linear trends by modeling the median values of tertiles of Tl as a continuous variable and evaluated the statistical significance of this predictor using the Wald test.
p-Values for linear trend were calculated by modeling the median value of each quartile as a continuous variable.
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