Use of Bayesian Markov chain Monte Carlo methods to estimate EQ-5D utility scores from EORTC QLQ data in myeloma for use in cost-effectiveness analysis

Medical Decision Making : an International Journal of the Society for Medical Decision Making
Samer A KharroubiChristopher McCabe

Abstract

Patient-reported outcome measures are an important component of the evidence for health technology appraisal. Their incorporation into cost-effectiveness analyses (CEAs) requires conversion of descriptive information into utilities. This can be done by using bespoke utility algorithms. Otherwise, investigators will often estimate indirect utility models for the patient-reported outcome measures using off-the-shelf utility data such as the EQ-5D or SF-6D. Numerous modeling strategies are reported; however, to date, there has been limited utilization of Bayesian methods in this context. In this article, we examine the relative advantage of the Bayesian methods in relation to dealing with missing data, relaxing the assumption of equal variances and characterizing the uncertainty in the model predictions. Data from a large myeloma trial were used to examine the relationship between scores in each of the 19 domains of the European Organisation for Research and Treatment of Cancer (EORTC) QLQ-C30/QLQ-MY20 and the EQ-5D utility. Data from 1839 patients were divided 75%/25% between derivation and validation sets. A conventional ordinary least squares model assuming equal variance and a Bayesian model allowing unequal variance were esti...Continue Reading

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Citations

Apr 8, 2016·The Neurohospitalist·Matthew BoykoMichel C F Shamy
Feb 21, 2018·Pharmaceutical Statistics·Samer A KharroubiChristopher McCabe
May 26, 2018·Journal of Managed Care & Specialty Pharmacy·James BaumgardnerDarius Lakdawalla
Feb 6, 2020·Quality of Life Research : an International Journal of Quality of Life Aspects of Treatment, Care and Rehabilitation·Samer A KharroubiYaling Yang
Dec 20, 2018·Health and Quality of Life Outcomes·Samer A Kharroubi
Aug 9, 2020·Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research·Dominik GolickiMaciej Niewada
Jun 14, 2021·Value in Health : the Journal of the International Society for Pharmacoeconomics and Outcomes Research·Alba AyalaAmaia Bilbao

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