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Model uncertainty is estimated by quantifying the model drift from observations when the model is initialized using the observed values.
Generated sample parameter combinations were assigned a weight, determined by quantifying the model's resultant ability to reproduce prevalence data.
In order to account for correlations between parameters and to incorporate additional information available from observed prevalence data, a statistical methodology was developed which assigns weights to the sampled parameter sets by quantifying the model's resultant ability to reproduce the prevalence data.
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Objective criteria have been established for discriminating between competing models by quantifying the trade-off between model parsimony and model fitness in predicting the dependent variable [39], [40].
This approach characterizes over- or under-prediction of measured internal concentrations by the model by quantifying the distance between measured and predicted values (eqs 6 and 7 ).
We evaluated the clinical implications of using each model compared with the Stepwise model by quantifying the reclassification of patients into appropriate risk groups.
The most common scores measure the shape similarity, either by the cross-correlation coefficient (Volkmann and Hanein, 1999) or by quantifying the deviation of coarse models (Birmanns and Wriggers, 2007).
Moreover, the adjuvanticity of the liposomes was assessed in an in vitro dendritic cell (DC) model, by quantifying the expression of DC maturation markers CD40, CD80, CD83 and CD86.
The authors constructed uncertainty models by quantifying the 3D Probability bands in pairs of probability and band size.
The general association mechanisms are modeled by quantifying the chemical and physical properties of the domain structure as a collection of 'patches' on the solvent exposed surface (SES).
The regression coefficients (slopes) were calculated by approximating this dependence with the linear model and by quantifying the rate of domain size change in evolution in terms of the number of residues per unit of evolutionary distance.
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