Regarding the initial condition for the QGP formation and the color glass condensate (CGC) [19, 20], as discussed above, the hard (high (p_mathrm{T})) parton production at RHIC and LHC can be calculated by using the pQCD but the soft parton production can only be correctly calculated from the first principle by using the non-perturbative QCD which is yet to be solved.
This means that the mathematical approach for calculating the platelet component from G would be the same as that with E. However, we are not aware of published reports where the platelet component, based on TEG® data, has been correctly calculated and used to guide treatment for perioperative or trauma-related bleeding.
The frequencies with which the known positive and negative donor sites were predicted correctly were calculated using a 2 × 2 contingency table.
Then, iteratively, the classification performance in terms of overall classification error, sensitivity (percentage of histologic grade 3 tumors correctly classified), and specificity (percentage of histologic grade 1 tumors correctly classified) was calculated using LAMDA classification algorithm.
Assuming all BESs were positioned correctly the false positive rate is calculated using formula (2) below.
Exact binomial 95percentnt confidence limits for the proportion of correctly standardised records were calculated using the method given in [ 29].
For logistic regression, the percent of correctly classified outcomes was calculated using the cut-off point of 0.5 for the estimated probability of outcome variables.
Specificity, i.e. the percentage of negative individuals correctly identified as such, was calculated using the formula: Specificity = number of true negatives TN / number of TN + number of false positives FP.
Sensitivity, i.e. the percentage of positive individuals correctly identified as such, was calculated using the formula: Sensitivity = number of true positives TP / number of TP + number of false negatives FN.
Odds of correctly diagnosing the illness early were calculated using random effect logistic regression, adjusting for cluster effects verified by quadrature check.
