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We applied the model to the complete dataset and tested the models discrimination and compared it to the original model without the occupancy variable.
34 35 Finally, we explored whether adding new predictors (eg, CVD, BMI and sex) improved the updated (refitted) models' discrimination and calibration and we conducted three sensitivity analyses that tested how susceptible our results were to analytical approaches taken.
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Details of model discrimination and evaluation of kinetic parameters are discussed.
We present here two applications that require modelling of the process for purposes of model discrimination and parameter estimation.
Different sequential experimental designs for model discrimination and parameter estimation can be performed automatically by the experimental set-up.
Experimental design procedures for model discrimination and for estimation of precise model parameters are usually treated as independent techniques.
For this purpose, a kinetic model is proposed involving both enantiomers of this reaction using model discrimination and parameter identification.
We introduce new criteria for model discrimination and use these and existing criteria to evaluate standard orthogonal designs.
Extensions and some consequences of this analysis useful for model discrimination and experiment design applications are also noted.
The total entropy utility function is considered for the dual purpose of model discrimination and parameter estimation in Bayesian design.
This study is an example of practical application of kinetic data treatment for simultaneous model discrimination and parameter estimation.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com