https://www.selleckchem.com/products/esi-09.html
Typically, models that were used for health state valuation data have been parametric. Recently, many researchers have explored the use of nonparametric Bayesian methods in this field. In this article, we report on the results from using a nonparametric model to predict a Bayesian short-form 6-dimension (SF-6D) health state valuation algorithm along with estimating the effect of the individual characteristics on health state valuations. A sample of 126 Lebanese members from the American University of Beirut valued 49 SF-6D health states
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