Sentence examples for transferability of one from inspiring English sources
EQUIPT is designed to test the transferability of one such economic evidence base the English Tobacco Return on Investment (ROI) tool to other EU member states.
Because one CGE model is usually set up for one country or region, transferability of one approach to similar ones is tough.
In summary, we test the transferability of one active-learning intervention (increased course structure; Freeman et al., 2011) into a novel educational context.
The transferability or alienability of one's natural right to judge how to defend oneself serves as the foundation of Hobbes' political theory; it allows him to explain the formation of the commonwealth and the legitimacy of the sovereign.
the potential transferability of experience from one city to another 13.
The issue of transferability of policy from one city to another has attracted relatively little study, despite early work by [54] and a fuller analysis by [76].
The transferability of expertise from one context to the other is possible of course, but will be more difficult once experts' contexts differ more.
The G-CEA model can therefore be viewed as an adaptation of the QALY League Table approach, designed to enhance the transferability of results from one population to another.
29 In our analysis, the availability of local epidemiological and economic information, and explicit consideration of local norms for clinical and public health practice, helped to reveal limitations in the transferability of conclusions from one setting to another and to develop national estimates of cost effectiveness for selected interventions.
Since the transferability of results from one region to another (i.e. from developed to developing countries) was of particular interest to us, we analyzed in detail the origin of secondary data used in economic evaluations that apply models to generate results (epidemiological data, effectiveness data, data on resource use, data on costs).
We also assessed transferability of classifiers by training on one data set and testing on another.
