The device label 18 includes detailed information on the test procedure and index results reporting methodology, analytical validation parameters, test reproducibility, and clinical agreement as evaluated between 3 testing sites, including Focus Diagnostics and 2 external testing sites.
Key assay validation parameters tested included specificity, accuracy, precision, limit of detection and quantitation, specificity, linearity and range, and robustness.
The proposed method showed good performance with respect to all the validation parameters tested, demonstrated optimized working conditions for lovastatin in human plasma with minimal inter-conversion, and was successfully employed for a bioequivalence study of lovastatin after oral administration of 40-mg tablet.
The recommended pilot test addresses the basic psychometric properties of the items and scales referring to the classical parameters of test validation but can be performed on a smaller sample that should be at least N = 24 for analyses on the subscale level and N = 116 for analyses on scale level (i.e. twice as many subjects as items per test unit).
Eventually, the other validation parameters were tested and the effectiveness of the proposed analytical method with a high degree of accuracy was confirmed.
The exclusion of cases more prone to bias (317 women who declare to have stopped smoking during pregnancy or 35 self-reported non-smokers with implausible high UC levels) did not improve substantially the validation parameters of the tests.
All cited guidelines also include suggestions on how testing should be executed practically, and provide equations for calculation of validation parameters [ 187, 190, 191].
Based on this new validation parameters we have been able to compare the human and crash test dummy frequency response functions and to evaluate their biofidelity.
The method showed good performance with respect to all of the validation parameters, and proved to be robust to changes in the experimental parameters within the tested domain.
Finally, several validation parameters were performed.
The total number of sample points after preprocessing is 4560, which are then normalized to the interval [0, 1] and divided into three groups: 1) 1 to 500 points are set for modeling initialization to accumulate the sample dictionary and steady the modeling effects; 2) 501 to 2000 are for the cross validation test of parameters; 3) The remaining 2001 to 4560 points are the accuracy test samples.
