IDEAS home Printed from https://ideas.repec.org/p/ese/iserwp/2016-04.html
   My bibliography  Save this paper

Copula-based modelling of self-reported health states: an application to the use of EQ-5D-3L and EQ-5D-5L in evaluating drug therapies for rheumatic disease

Author

Listed:
  • Pudney, Stephen
  • Hernandez-Alava, Monica

Abstract

EQ-5D is used in cost-effectiveness studies underlying many important health policy decisions. It comprises a survey instrument generating a description of health states across five domains, and a system of utility values for each state. The original 3-level version of EQ-5D is being replaced with a more sensitive 5-level version but little is known about the consequences of this change. We develop a multi-equation ordinal response model incorporating a copula specification with normal mixture marginals to analyse the joint responses to EQ-5D-3L and EQ-5D-5L in a survey of people affected by rheumatoid disease, and use it to generate mappings between the 3-level and 5-level descriptive systems. We find significant conflicts between the two, which would imply the reversal of an important conclusion in a real-world evaluation of drug therapies.

Suggested Citation

  • Pudney, Stephen & Hernandez-Alava, Monica, 2016. "Copula-based modelling of self-reported health states: an application to the use of EQ-5D-3L and EQ-5D-5L in evaluating drug therapies for rheumatic disease," ISER Working Paper Series 2016-04, Institute for Social and Economic Research.
  • Handle: RePEc:ese:iserwp:2016-04
    as

    Download full text from publisher

    File URL: https://www.iser.essex.ac.uk/wp-content/uploads/files/working-papers/iser/2016-04.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Brazier & Yaling Yang & Aki Tsuchiya & Donna Rowen, 2010. "A review of studies mapping (or cross walking) non-preference based measures of health to generic preference-based measures," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 11(2), pages 215-225, April.
    2. Anastasios Panagiotelis & Claudia Czado & Harry Joe, 2012. "Pair Copula Constructions for Multivariate Discrete Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 107(499), pages 1063-1072, September.
    3. Oliver Rivero-Arias & Melissa Ouellet & Alastair Gray & Jane Wolstenholme & Peter M. Rothwell & Ramon Luengo-Fernandez, 2010. "Mapping the Modified Rankin Scale (mRS) Measurement into the Generic EuroQol (EQ-5D) Health Outcome," Medical Decision Making, , vol. 30(3), pages 341-354, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang Li & Fan Wang & Ye Shen & Yichen Qin & Jiesheng Si, 2022. "Selection of mixed copula for association modeling with tied observations," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 31(5), pages 1127-1180, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Hernández-Alava, Mónica & Pudney, Stephen, 2017. "Econometric modelling of multiple self-reports of health states: The switch from EQ-5D-3L to EQ-5D-5L in evaluating drug therapies for rheumatoid arthritis," Journal of Health Economics, Elsevier, vol. 55(C), pages 139-152.
    2. Jeff Round & Mike Paulden, 2018. "Incorporating equity in economic evaluations: a multi-attribute equity state approach," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 19(4), pages 489-498, May.
    3. Lu Yang & Claudia Czado, 2022. "Two‐part D‐vine copula models for longitudinal insurance claim data," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(4), pages 1534-1561, December.
    4. Corani, Giorgio & Azzimonti, Dario & Rubattu, Nicolò, 2024. "Probabilistic reconciliation of count time series," International Journal of Forecasting, Elsevier, vol. 40(2), pages 457-469.
    5. Ning Gu & Chris Bell & Marc Botteman & Xiang Ji & John Carter & Ben Hout, 2012. "Estimating Preference-Based EQ-5D Health State Utilities or Item Responses from Neuropathic Pain Scores," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 5(3), pages 185-197, September.
    6. Cubi-Molla, P. & De Vries, J. & Devlin, N., 2013. "A Study of the Relationship Between Health and Subjective Well-being in Parkinson’s Disease Patients," Working Papers 13/12, Department of Economics, City University London.
    7. Zhongliang Zhou & Yu Fang & Zhiying Zhou & Dan Li & Dan Wang & Yanli Li & Li Lu & Jianmin Gao & Gang Chen, 2017. "Assessing Income-Related Health Inequality and Horizontal Inequity in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 241-256, May.
    8. Aristidis Nikoloulopoulos & Harry Joe, 2015. "Factor Copula Models for Item Response Data," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 126-150, March.
    9. Fokianos, Konstantinos & Fried, Roland & Kharin, Yuriy & Voloshko, Valeriy, 2022. "Statistical analysis of multivariate discrete-valued time series," Journal of Multivariate Analysis, Elsevier, vol. 188(C).
    10. Mona Aghdaee & Bonny Parkinson & Kompal Sinha & Yuanyuan Gu & Rajan Sharma & Emma Olin & Henry Cutler, 2022. "An examination of machine learning to map non‐preference based patient reported outcome measures to health state utility values," Health Economics, John Wiley & Sons, Ltd., vol. 31(8), pages 1525-1557, August.
    11. Brechmann, Eike & Czado, Claudia & Paterlini, Sandra, 2014. "Flexible dependence modeling of operational risk losses and its impact on total capital requirements," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 271-285.
    12. Weidong Huang & Hongjuan Yu & Chaojie Liu & Guoxiang Liu & Qunhong Wu & Jin Zhou & Xin Zhang & Xiaowen Zhao & Linmei Shi & Xiaoxue Xu, 2017. "Assessing Health-Related Quality of Life of Chinese Adults in Heilongjiang Using EQ-5D-3L," IJERPH, MDPI, vol. 14(3), pages 1-16, February.
    13. Chris Sampson;Martina Garau, 2019. "How Should We Measure Quality of Life Impact in Rare Disease? Recent Learnings in Spinal Muscular Atrophy," Briefing 002146, Office of Health Economics.
    14. Wang, Fan & Li, Heng & Dong, Chao, 2021. "Understanding near-miss count data on construction sites using greedy D-vine copula marginal regression," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    15. Krishnakumar Thankappan & Tejal Patel & Krishna Kollamparambil Ajithkumar & Deepak Balasubramanian & Manu Raj & Sujha Subramanian & Subramania Iyer, 2022. "Mapping of head and neck cancer patient concerns inventory scores on to Euroqol-Five Dimensions-Five Levels (EQ-5D-5L) health utility scores," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(2), pages 225-235, March.
    16. Nádia Simões & Nuno Crespo & Sandrina B. Moreira & Celeste A. Varum, 2016. "Measurement and determinants of health poverty and richness: evidence from Portugal," Empirical Economics, Springer, vol. 50(4), pages 1331-1358, June.
    17. Wijnen, Ben F.M. & Mosweu, Iris & Majoie, Marian H.J.M. & Ridsdale, Leone & de Kinderen, Reina J.A. & Evers, Silvia M.A.A. & McCrone, Paul, 2018. "A comparison of the responsiveness of EQ-5D-5L and the QOLIE-31P and mapping of QOLIE-31P to EQ-5D-5L in epilepsy," LSE Research Online Documents on Economics 106170, London School of Economics and Political Science, LSE Library.
    18. Fabienne Abadie & Christian Boehler, 2015. "Monitoring and Assessment Framework for the European Innovation Partnership on Active and Healthy Ageing (MAFEIP) - Conceptual description of the Monitoring and Assessment Framework for the EIP on AHA," JRC Research Reports JRC96205, Joint Research Centre.
    19. Billingsley Kaambwa & Hailay Abrha Gesesew & Matthew Horsfall & Derek Chew, 2020. "Quality of Life Changes in Acute Coronary Syndromes Patients: A Systematic Review and Meta-Analysis," IJERPH, MDPI, vol. 17(18), pages 1-28, September.
    20. Genest Christian & Scherer Matthias, 2019. "The world of vines: An interview with Claudia Czado," Dependence Modeling, De Gruyter, vol. 7(1), pages 169-180, January.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ese:iserwp:2016-04. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jonathan Nears (email available below). General contact details of provider: https://edirc.repec.org/data/rcessuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.