IDEAS home Printed from https://ideas.repec.org/a/bla/biomet/v64y2008i2p577-585.html
   My bibliography  Save this article

Simple, Defensible Sample Sizes Based on Cost Efficiency

Author

Listed:
  • Peter Bacchetti
  • Charles E. McCulloch
  • Mark R. Segal

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter Bacchetti & Charles E. McCulloch & Mark R. Segal, 2008. "Simple, Defensible Sample Sizes Based on Cost Efficiency," Biometrics, The International Biometric Society, vol. 64(2), pages 577-585, June.
    • Handle: RePEc:bla:biomet:v:64:y:2008:i:2:p:577-585
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2008.01004_1.x
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Karl Claxton & John Posnett, "undated". "An Economic Approach to Clinical Trial Design and Research Priority Setting," Discussion Papers 96/19, Department of Economics, University of York.
    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. Mithat Gönen, 2012. "Discussions," Biometrics, The International Biometric Society, vol. 68(1), pages 215-216, March.

    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. A. E. Ades & Karl Claxton & Mark Sculpher, 2006. "Evidence synthesis, parameter correlation and probabilistic sensitivity analysis," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 373-381, April.
    2. Martin E. Backhouse, 1998. "An investment appraisal approach to clinical trial design," Health Economics, John Wiley & Sons, Ltd., vol. 7(7), pages 605-619, November.
    3. Rachael DiSantostefano & Andrea Biddle & John Lavelle, 2006. "The Long-Term Cost Effectiveness of Treatments for Benign Prostatic Hyperplasia," PharmacoEconomics, Springer, vol. 24(2), pages 171-191, February.
    4. Jon Karnon & A. Brennan & J. Chilcott, 2003. "Commentary on Coyle et al., "The assessment of the economic return from controlled clinical trials"," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 4(3), pages 239-240, September.
    5. Qi Cao & Erik Buskens & Hans L. Hillege & Tiny Jaarsma & Maarten Postma & Douwe Postmus, 2019. "Stratified treatment recommendation or one-size-fits-all? A health economic insight based on graphical exploration," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 20(3), pages 475-482, April.
    6. Karl Claxton & Mark Sculpher & Chris McCabe & Andrew Briggs & Ron Akehurst & Martin Buxton & John Brazier & Tony O'Hagan, 2005. "Probabilistic sensitivity analysis for NICE technology assessment: not an optional extra," Health Economics, John Wiley & Sons, Ltd., vol. 14(4), pages 339-347, April.
    7. Mathyn Vervaart & Mark Strong & Karl P. Claxton & Nicky J. Welton & Torbjørn Wisløff & Eline Aas, 2022. "An Efficient Method for Computing Expected Value of Sample Information for Survival Data from an Ongoing Trial," Medical Decision Making, , vol. 42(5), pages 612-625, July.
    8. Karl Claxton & Elisabeth Fenwick & Mark J. Sculpher, 2012. "Decision-making with Uncertainty: The Value of Information," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 51, Edward Elgar Publishing.
    9. Rachael L. Fleurence, 2007. "Setting priorities for research: a practical application of ‘payback’ and expected value of information," Health Economics, John Wiley & Sons, Ltd., vol. 16(12), pages 1345-1357, December.
    10. Simon Eckermann & Tim Coelli, 2008. "Including quality attributes in a model of health care efficiency: A net benefit approach," CEPA Working Papers Series WP032008, School of Economics, University of Queensland, Australia.
    11. Neil Hawkins & Mark Sculpher & David Epstein, 2005. "Cost-Effectiveness Analysis of Treatments for Chronic Disease: Using R to Incorporate Time Dependency of Treatment Response," Medical Decision Making, , vol. 25(5), pages 511-519, September.
    12. A. E. Ades & A. J. Sutton, 2006. "Multiparameter evidence synthesis in epidemiology and medical decision‐making: current approaches," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(1), pages 5-35, January.
    13. Meltzer, David, 2001. "Addressing uncertainty in medical cost-effectiveness analysis: Implications of expected utility maximization for methods to perform sensitivity analysis and the use of cost-effectiveness analysis to s," Journal of Health Economics, Elsevier, vol. 20(1), pages 109-129, January.
    14. Lazaros Andronis & Lucinda J. Billingham & Stirling Bryan & Nicholas D. James & Pelham M. Barton, 2016. "A Practical Application of Value of Information and Prospective Payback of Research to Prioritize Evaluative Research," Medical Decision Making, , vol. 36(3), pages 321-334, April.
    15. Mark J. Sculpher & Karl Claxton & Mike Drummond & Chris McCabe, 2006. "Whither trial‐based economic evaluation for health care decision making?," Health Economics, John Wiley & Sons, Ltd., vol. 15(7), pages 677-687, July.
    16. Michael Fairley & Lauren E. Cipriano & Jeremy D. Goldhaber-Fiebert, 2020. "Optimal Allocation of Research Funds under a Budget Constraint," Medical Decision Making, , vol. 40(6), pages 797-814, August.
    17. J. Brown & N. J. Welton & C. Bankhead & S. H. Richards & L. Roberts & C. Tydeman & T. J. Peters, 2006. "A Bayesian approach to analysing the cost‐effectiveness of two primary care interventions aimed at improving attendance for breast screening," Health Economics, John Wiley & Sons, Ltd., vol. 15(5), pages 435-445, May.
    18. Afschin Gandjour, 2011. "Prioritizing Comparative Effectiveness Research," PharmacoEconomics, Springer, vol. 29(7), pages 555-561, July.
    19. A C Bouman & A J ten Cate-Hoek & B L T Ramaekers & M A Joore, 2015. "Sample Size Estimation for Non-Inferiority Trials: Frequentist Approach versus Decision Theory Approach," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
    20. Elisabeth Fenwick & Karl Claxton & Mark Sculpher, 2001. "Representing uncertainty: the role of cost‐effectiveness acceptability curves," Health Economics, John Wiley & Sons, Ltd., vol. 10(8), pages 779-787, December.

    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:bla:biomet:v:64:y:2008:i:2:p:577-585. 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://www.blackwellpublishing.com/journal.asp?ref=0006-341X .

    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.