Underestimation of Variance of Predicted Health Utilities Derived from Multiattribute Utility Instruments

BACKGROUND: Parameter uncertainty in value sets of multiattribute utility-based instruments (MAUIs) has received little attention previously. This false precision leads to underestimation of the uncertainty of the results of cost-effectiveness analyses. The aim of this study is to examine the use of multiple imputation as a method to account for this uncertainty of MAUI scoring algorithms. METHOD: We fitted a Bayesian model with random effects …