IDEAS home Printed from https://ideas.repec.org/a/tsj/stataj/v15y2015i3p737-750.html
   My bibliography  Save this article

Fitting adjusted limited dependent variable mixture models to EQ-5D

Author

Listed:
  • Monica Hernandez Alava

    (University of Sheffield)

  • Allan Wailoo

    (University of Sheffield)

Abstract

In this article, we describe the aldvmm command for fitting adjusted limited dependent variable mixture models to either UK or U.S. tariff EQ-5D data. We present and explain the command and postestimation command through examples. The aldvmm command requires use of Stas Kolenikov’s simulated annealing package (simann()), which can be easily installed by typing net install simann.pkg, from(http://web.missouri.edu/~kolenikovs/stata). Copyright 2015 by StataCorp LP.

Suggested Citation

  • Monica Hernandez Alava & Allan Wailoo, 2015. "Fitting adjusted limited dependent variable mixture models to EQ-5D," Stata Journal, StataCorp LP, vol. 15(3), pages 737-750, September.
  • Handle: RePEc:tsj:stataj:v:15:y:2015:i:3:p:737-750
    Note: to access software from within Stata, net describe http://www.stata-journal.com/software/sj15-3/st0401/
    as

    Download full text from publisher

    File URL: http://www.stata-journal.com/article.html?article=st0401
    File Function: link to article purchase
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Michael Falk Hvidberg & Mónica Hernández Alava, 2023. "Catalogues of EQ-5D-3L Health-Related Quality of Life Scores for 199 Chronic Conditions and Health Risks for Use in the UK and the USA," PharmacoEconomics, Springer, vol. 41(10), pages 1287-1388, October.
    2. Marta Giulia Viola & Alexander Diamantopoulos, 2020. "Determining the Baseline Strategy in a Cost-Effectiveness Analysis with Treatment Sequences," Applied Health Economics and Health Policy, Springer, vol. 18(1), pages 17-29, February.
    3. Hareth Al-Janabi & Andrea Manca & Joanna Coast, 2017. "Predicting carer health effects for use in economic evaluation," PLOS ONE, Public Library of Science, vol. 12(9), pages 1-18, September.
    4. Roberta Ara & Donna Rowen & Clara Mukuria, 2017. "The Use of Mapping to Estimate Health State Utility Values," PharmacoEconomics, Springer, vol. 35(1), pages 57-66, December.
    5. Alexina J. Mason & Manuel Gomes & James Carpenter & Richard Grieve, 2021. "Flexible Bayesian longitudinal models for cost‐effectiveness analyses with informative missing data," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3138-3158, December.
    6. Clara Mukuria & Donna Rowen & Sue Harnan & Andrew Rawdin & Ruth Wong & Roberta Ara & John Brazier, 2019. "An Updated Systematic Review of Studies Mapping (or Cross-Walking) Measures of Health-Related Quality of Life to Generic Preference-Based Measures to Generate Utility Values," Applied Health Economics and Health Policy, Springer, vol. 17(3), pages 295-313, June.
    7. Kailu Wang & Xiaopeng Guo & Siyue Yu & Lu Gao & Zihao Wang & Huijuan Zhu & Bing Xing & Shuyang Zhang & Dong Dong, 2021. "Mapping of the acromegaly quality of life questionnaire to ED-5D-5L index score among patients with acromegaly," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(9), pages 1381-1391, December.
    8. Ana Sofia Oliveira Gonçalves & Dimitra Panteli & Lars Neeb & Tobias Kurth & Annette Aigner, 2022. "HIT-6 and EQ-5D-5L in patients with migraine: assessment of common latent constructs and development of a mapping algorithm," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 23(1), pages 47-57, February.
    9. 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.
    10. Richard Huan Xu & Eliza Lai Yi Wong & Jun Jin & Ying Dou & Dong Dong, 2020. "Mapping of the EORTC QLQ-C30 to EQ-5D-5L index in patients with lymphomas," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 21(9), pages 1363-1373, December.
    11. Mónica Hernández‐Alava & Stephen Pudney, 2022. "Mapping between EQ‐5D‐3L and EQ‐5D‐5L: A survey experiment on the validity of multi‐instrument data," Health Economics, John Wiley & Sons, Ltd., vol. 31(6), pages 923-939, June.
    12. Marcelo Coca Perraillon & Ya-Chen Tina Shih & Ronald A. Thisted, 2015. "Predicting the EQ-5D-3L Preference Index from the SF-12 Health Survey in a National US Sample," Medical Decision Making, , vol. 35(7), pages 888-901, October.

    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:tsj:stataj:v:15:y:2015:i:3:p:737-750. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Christopher F. Baum or Lisa Gilmore (email available below). General contact details of provider: http://www.stata-journal.com/ .

    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.