By sensitivity analysis the combination of thermodynamic analysis and real world data correlations was simplified and arranged for pre-dimensioning of business cases.
This soft sensor approach utilises a combination of quantitative and qualitative information in the form of laboratory tests, historical industrial process data, and metrics derived from human factors analysis, the combination of which is unique in the literature.
Recently, the hyperspectral imaging has emerged as a promising measuring methodology for this kind of the artwork analysis; the combination of acquiring spectral information and planar (photography-like) pixel arrangement provides a lot of potential for material characterization.
In a multivariate correlation analysis, the combination of risk factors and biochemical markers only poorly predicted the extent of coronary artery disease (r2 = 0.228).
At the resolution of ChIP analysis, the combination of binding at degenerate small motifs and a strong influence of chromatin structure on accessibility would generate very similar binding profiles for different transcription factors binding distinct motifs.
By multivariate analysis, the combination of sarcopenia and BMI<25 kg m−2 was the only independent predictor of early DLTs (P=0.04).
However, for quantitative analysis, the combination of potential and respiration is more informative than measurement of either alone.
In multivariate analysis, the combination of nuclear LDH-5 and HIF2 α expression showed a very strong independent prognostic relevance.
In the stratified analysis, the combination of high serum resistin and either diabetes or hypertension markedly increased the risk of ischemic stroke.
In the stratified analysis, the combination of a positive family history and exposure to pesticides increased risk of MM while neither variable did so independently.
In a multi-criteria analysis the combination of individual expert rankings and weightings resulted in overall expert group consensus rankings regarding the priority of hotspot cases (Table 4).
