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There is interest in the use of discrete choice experiments that include a duration attribute (DCETTO) to generate health utility values, but questions remain on its feasibility in large health state descriptive systems.
This research field has made extensive use of discrete choice methods based on random utility models, which help identify product characteristics most relevant to consumers, also valuing the willingness to pay for a product with such characteristics.
One of the greatest strengths of this study is the use of discrete choice experiment methodology, which is a rigorous method of eliciting preferences.
The use of discrete choice experiments techniques enabled researchers to determine the relative importance of different factors influencing health workers' choices.
The relative weights of the various criteria were estimated through the use of discrete choice experiments (DCE) [ 59], with a large number of policy makers.
The aim of this article is to review the existing literature on the use of discrete choice experiments to study HR issues in both developed and developing countries.
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Using a series of discrete choice experiments, we find that individuals are, on average, willing to pay $1.44 for each additional gram of birth weight.
We used the technique of discrete choice experiment (DCE).
Usage was estimated by past visits to restaurants and utility was calculated by using a specific type of discrete choice experiment known as Best-Worst (or max-diff) experiment.
In order to obtain tariffs for the ICECAP-O, the attributes were valued using best-worst scaling, a special type of discrete choice analysis [ 9].
While the results of discrete choice experiments can be used in simulations, our cross-sectional design thus facilitates external validation of our results (figure 4).
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