In addition, in order to develop a resilient strategy, the levels of possible trade-offs between the different values (environmental, economic, social, cultural, territorial,…) of a system should be defined and hence there is a need to use tools that identify the thresholds for the proper use of different resources, such as those used in urban metabolism analysis.
116 Discussing the potential future need for residential care early in the disease course, and identifying the threshold for such decisions, can ease the process.
For survival analysis, both cohorts were pooled and PC1 scores were categorized by outcome specific receiver operating characteristic (ROC) analyses using Youden's index (Sensitivity - (1 - Specificity)) [ 26] to identify the threshold for 'high' and 'low' cardiovascular death-associated PC1 scores in both cohorts separately.
More studies are necessary for identifying the thresholds of audio and video quality prediction errors at which the impairment-factor-based variants start to perform worse than the quality-based variants.
We first identified the threshold intensity for direct activation of CST fibres with the coil centred over the inion, oriented to produce a downward current in the brain.
The 90th and 84th percentiles were identified as the thresholds for diagnosing a higher clustering of cardiovascular risk factors in Chinese boys and girls, respectively.
We also aimed to identify the threshold values for the most accurate identification of ATC and prediction of massive transfusion (MT) using rotational thromboelastometry (ROTEM) assays.
The aim was to identify the threshold value for each parameter, where one exists, where the treatment with the highest MNB changed (e.g., the value at which diagnostic laparoscopy was no longer the most cost-effective option).
15 A series of univariate analyses were carried out on some parameters of the simulation model, including variation in quality of life (utilities) and the cost of the single-tablet regimen, and identifying the threshold value for these parameters.
The ODA algorithm identifies the threshold value (cutpoint) for an ordered attribute (independent variable)—or the assignment rule for a categorical attribute that most accurately (optimally) discriminates the different categories (or levels) of the class (dependent) variable for the sample.
