Figure 4 presents the results of multivariate sensitivity analyses, in the form of cost-effectiveness acceptability curves for both outcome measurements using total program costs, from a societal perspective.
Figure 3 depicts the results of the univariate sensitivity analyses in the form of a tornado diagram that displays the effect of the uncertainty associated with individual parameter values on the net monetary benefits of AS for a WTP of €50,000.
Indeed, the 2D framework allows for "analyses" in the form of 1-intensions that cannot be finitely specified in any natural language.
Fluid structure interaction analyses in the form of Coupled-Eulerian Lagrangian simulations were performed to assess the energy dissipated both by solid plastiCoupled-Eulerian Lagrangiansimulationspation in the drop-wereht and blast simulations.
In this case, the sound propagation velocity depends on the distance to the rotation axis and solutions are found by multiple-scale analyses in the form of waves with slowly varying amplitude and wavenumber.
Some of these techniques (e.g., Piper 1944; Gibbs 1970; Wilcox 1955; Doneen 1964; Chadha 1999) can present such analyses in graphical form and have been used in many parts of the world including arid and semi-arid regions (Kortatsi et al. 2009; Ayuba et al. 2013; Aly et al. 2014; Nazzal et al. 2014; Kraiem et al. 2014) to show ionic concentrations in groundwater samples.
EDS qualitative analyses in the form of X-ray spectra were acquired on the pressed powder pellets.
We tested these hypotheses by multiple regression analyses in the form of partial correlations, controlling for the covariates of age, gender, hypertension, baseline volume and ICV.
That is, the FARO approach restricts direct comparisons between microarrays to within single experiments or studies, and only the outcomes of the statistical analyses in the form of differentially expressed genes are compared between experiments.
It is evident that integration of secondary structure information in sequence alignment and analyses (in the form of rRNA substitution models) will optimize rRNA phylogenies considerably.
