IDEAS home Printed from https://ideas.repec.org/a/wly/hlthec/v21y2012i6p742-756.html
   My bibliography  Save this article

Surrogates, meta‐analysis and cost‐effectiveness modelling: a combined analytic approach

Author

Listed:
  • Neil Hawkins
  • Gerry Richardson
  • Alex J Sutton
  • Nicola J Cooper
  • Chris Griffiths
  • Anne Rogers
  • Peter Bower

Abstract

Estimates of cost‐effectiveness analyses are typically obtained either directly from ‘trial’ based analyses or indirectly via surrogate endpoints in ‘model’ based analyses. Data from clinical trials that include both surrogate and final endpoints can be used in a joint analysis that combines these two approaches. This joint approach allows the inclusion of information regarding the effects of treatment on surrogate endpoints while relaxing the strong assumption of ‘conditional independence’ associated with indirect model‐based analyses. An example cost‐effectiveness analysis of Chronic Disease Self‐Management Programme is used to compare the different approaches. It is shown that despite using a common data set, the different analytic approaches produce differing estimates of the cost‐effectiveness of the intervention and the value of future research. The paper concludes by discussing the selection of the appropriate analytic approach. Copyright © 2011 John Wiley & Sons, Ltd.

Suggested Citation

  • Neil Hawkins & Gerry Richardson & Alex J Sutton & Nicola J Cooper & Chris Griffiths & Anne Rogers & Peter Bower, 2012. "Surrogates, meta‐analysis and cost‐effectiveness modelling: a combined analytic approach," Health Economics, John Wiley & Sons, Ltd., vol. 21(6), pages 742-756, June.
  • Handle: RePEc:wly:hlthec:v:21:y:2012:i:6:p:742-756
    DOI: 10.1002/hec.1741
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/hec.1741
    Download Restriction: no

    File URL: https://libkey.io/10.1002/hec.1741?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. David J. Vanness & John Mullahy, 2006. "Perspectives on Mean-based Evaluation of Health Care," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, chapter 49, Edward Elgar Publishing.
    2. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    3. Martin J. Buxton & Michael F. Drummond & Ben A. Van Hout & Richard L. Prince & Trevor A. Sheldon & Thomas Szucs & Muriel Vray, 1997. "Modelling in Ecomomic Evaluation: An Unavoidable Fact of Life," Health Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 217-227, May.
    4. Andrew M. Jones (ed.), 2006. "The Elgar Companion to Health Economics," Books, Edward Elgar Publishing, number 3572.
    5. N. E. Day & S. W. Duffy, 1996. "Trial Design Based on Surrogate End Points — Application to Comparison of Different Breast Screening Frequencies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(1), pages 49-60, January.
    6. Yongming Qu & Michael Case, 2007. "Quantifying the Effect of the Surrogate Marker by Information Gain," Biometrics, The International Biometric Society, vol. 63(3), pages 958-960, September.
    Full references (including those not matched with items on IDEAS)

    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. Dumont, Etienne & Fortin, Bernard & Jacquemet, Nicolas & Shearer, Bruce, 2008. "Physicians' multitasking and incentives: Empirical evidence from a natural experiment," Journal of Health Economics, Elsevier, vol. 27(6), pages 1436-1450, December.
    2. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    3. Wagstaff, Adam & Culyer, Anthony J., 2012. "Four decades of health economics through a bibliometric lens," Journal of Health Economics, Elsevier, vol. 31(2), pages 406-439.
    4. Noemi Kreif & Richard Grieve & Rosalba Radice & Zia Sadique & Roland Ramsahai & Jasjeet S. Sekhon, 2012. "Methods for Estimating Subgroup Effects in Cost-Effectiveness Analyses That Use Observational Data," Medical Decision Making, , vol. 32(6), pages 750-763, November.
    5. Moreno, Elías & Girón, F.J. & Vázquez-Polo, F.J. & NegrI´n, M.A., 2010. "Optimal healthcare decisions: Comparing medical treatments on a cost-effectiveness basis," European Journal of Operational Research, Elsevier, vol. 204(1), pages 180-187, July.
    6. Anirban Basu & James J. Heckman & Salvador Navarro-Lozano & Sergio Urzua, 2007. "Use of instrumental variables in the presence of heterogeneity and self-selection: An application in breast cancer patients," Health, Econometrics and Data Group (HEDG) Working Papers 07/07, HEDG, c/o Department of Economics, University of York.
    7. Eric French & Elaine Kelly & Richard Cookson & Carol Propper & Miqdad Asaria & Rosalind Raine, 2016. "Socio‐Economic Inequalities in Health Care in England," Fiscal Studies, Institute for Fiscal Studies, vol. 37, pages 371-403, September.
    8. Cooray, Arusha, 2011. "The role of the government in financial sector development," Economic Modelling, Elsevier, vol. 28(3), pages 928-938, May.
    9. Campbell, Randall C. & Nagel, Gregory L., 2016. "Private information and limitations of Heckman's estimator in banking and corporate finance research," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 186-195.
    10. Thomas A. Garrett & Russell S. Sobel, 2004. "State Lottery Revenue: The Importance of Game Characteristics," Public Finance Review, , vol. 32(3), pages 313-330, May.
    11. Venkatesh Shankar & Pablo Azar & Matthew Fuller, 2008. "—: A Multicategory Brand Equity Model and Its Application at Allstate," Marketing Science, INFORMS, vol. 27(4), pages 567-584, 07-08.
    12. Giuseppe Croce & Emanuela Ghignoni, 2011. "Overeducation and spatial flexibility in Italian local labour markets," Working Papers in Public Economics 145, Department of Economics and Law, Sapienza University of Roma.
    13. Meghamrita Chakraborty, 2023. "Linking Migration, Diversity and Regional Development in India," Journal of Development Policy and Practice, , vol. 8(1), pages 55-72, January.
    14. Jessica M. Mc Lay & Roy Lay-Yee & Barry J. Milne & Peter Davis, 2015. "Regression-Style Models for Parameter Estimation in Dynamic Microsimulation: An Empirical Performance Assessment," International Journal of Microsimulation, International Microsimulation Association, vol. 8(2), pages 83-127.
    15. Machado, Matilde P., 2001. "Dollars and performance: treating alcohol misuse in Maine," Journal of Health Economics, Elsevier, vol. 20(4), pages 639-666, July.
    16. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    17. James J. Heckman, 1991. "Randomization and Social Policy Evaluation Revisited," NBER Technical Working Papers 0107, National Bureau of Economic Research, Inc.
    18. Gordon Dahl, 2010. "Early teen marriage and future poverty," Demography, Springer;Population Association of America (PAA), vol. 47(3), pages 689-718, August.
    19. Huy Quang Doan, 2019. "Trade, Institutional Quality and Income: Empirical Evidence for Sub-Saharan Africa," Economies, MDPI, vol. 7(2), pages 1-23, May.
    20. David Weiskopf, 2000. "The Impact of Omitting Promotion Variables on Simulation Experiments," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 7(2), pages 159-166.

    More about this item

    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:wly:hlthec:v:21:y:2012:i:6:p:742-756. 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: Wiley Content Delivery (email available below). General contact details of provider: http://www3.interscience.wiley.com/cgi-bin/jhome/5749 .

    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.