https://www.selleckchem.com/pr....oducts/mg-101-alln.h
Background The parameter uncertainty in the six-dimensional health state short form (SF-6D) value sets is commonly ignored. There are two sources of parameter uncertainty uncertainty around the estimated regression coefficients and uncertainty around the model's specification. This study explores these two sources of parameter uncertainty in the value sets using probabilistic sensitivity analysis (PSA) and a Bayesian approach. Methods We used data from the original UK/SF-6D valuation study to evaluate the extent of parameter uncerta
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