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The result of the step-by-step verification of life cycle phases leading to final validation is combined with continuing assessment of functional safety practices to deliver the complete QA package for the safety system.
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Once the models were derived and shown to be valid in the other 4 hospitals, the two cohorts (derivation and validation) were combined for further analysis.
Predictions by the five individual models derived from cross validation were combined using simple majority voting.
Then, based on the GPR model, the improved k-fold cross-validation is combined to represent the model uncertainty.
Then, each candidate derivation dataset is combined with the validation dataset, wherein the independent variables are the independent variables following pre-processing, as well as the outcome of interest (for the case study, whether the CHF hospitalization was followed by a readmission).
Discovery and validation cohorts were combined for further analysis.
Data from the initial cohort and the validation cohort were combined to refine the β-coefficients.
Data from the main and validation studies are combined to produce a unified set of results that are easily interpreted.
ER + patients were selected from each dataset, and validation cohorts were combined after each probe set/gene was standardized and mean centered.
For example, three randomly generated calibration and validation matrices were combined with the Raman spectral data that had been transformed using a first derivative and EMSC.
Estimates from the resulting 10 validation datasets were combined with Rubin's rule (for calculating AUCs) and with averaging of model predictions (for constructing calibration plots) [ 25].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com