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. 2022 Nov 7;41(2):187–198. doi: 10.1007/s40273-022-01157-3

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, which permits any non-commercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc/4.0/.

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Fig. 1 — Distribution of the observed versus predicted utilities for direct and indirect methods. Results were obtained using the explanatory variables set 5: the Patient-Reported Outcomes Measurement Information System (PROMIS-29) [as categorical variables], age, age squared and sex. ALDVMM adjusted limited dependent variable mixture model, Betamix: Mixture beta regression, CLAD censored least absolute deviation, GLM generalised linear model, GLOGIT generalised logistic regression, OLS ordinary least square