IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v32y2014i6p521-523.html
   My bibliography  Save this article

Modelling Technique, Structural Assumptions, Input Parameter Values: Which Has the Most Impact on the Results of a Cost-Effectiveness Analysis?

Author

Listed:
  • Josephine Mauskopf

Abstract

No abstract is available for this item.

Suggested Citation

  • Josephine Mauskopf, 2014. "Modelling Technique, Structural Assumptions, Input Parameter Values: Which Has the Most Impact on the Results of a Cost-Effectiveness Analysis?," PharmacoEconomics, Springer, vol. 32(6), pages 521-523, June.
  • Handle: RePEc:spr:pharme:v:32:y:2014:i:6:p:521-523
    DOI: 10.1007/s40273-014-0157-7
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s40273-014-0157-7
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s40273-014-0157-7?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
    ---><---

    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. Jonathan Karnon & Hossein Haji Ali Afzali, 2014. "When to Use Discrete Event Simulation (DES) for the Economic Evaluation of Health Technologies? A Review and Critique of the Costs and Benefits of DES," PharmacoEconomics, Springer, vol. 32(6), pages 547-558, June.
    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. T I Armina Padmasawitri & Gerardus W Frederix & Bachti Alisjahbana & Olaf Klungel & Anke M Hövels, 2018. "Disparities in model-based cost-effectiveness analyses of tuberculosis diagnosis: A systematic review," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-20, May.

    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. Matthew J. Glover & Edmund Jones & Katya L. Masconi & Michael J. Sweeting & Simon G. Thompson, 2018. "Discrete Event Simulation for Decision Modeling in Health Care: Lessons from Abdominal Aortic Aneurysm Screening," Medical Decision Making, , vol. 38(4), pages 439-451, May.
    2. Keshtkaran, Mahsa & Churilov, Leonid & Hearne, John & Abbasi, Babak & Meretoja, Atte, 2016. "Validation of a decision support model for investigation and improvement in stroke thrombolysis," European Journal of Operational Research, Elsevier, vol. 253(1), pages 154-169.
    3. Vojtěch Kamenský & Vladimír Rogalewicz & Ondřej Gajdoš & Gleb Donin, 2022. "Discrete Event Simulation Model for Cost-Effectiveness Evaluation of Screening for Asymptomatic Patients with Lower Extremity Arterial Disease," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
    4. Jesús Isaac Vázquez-Serrano & Rodrigo E. Peimbert-García & Leopoldo Eduardo Cárdenas-Barrón, 2021. "Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    5. Carmen María Yago & Francisco Javier Díez, 2023. "DESnets: A Graphical Representation for Discrete Event Simulation and Cost-Effectiveness Analysis," Mathematics, MDPI, vol. 11(7), pages 1-24, March.
    6. Penny R. Breeze & Hazel Squires & Kate Ennis & Petra Meier & Kate Hayes & Nik Lomax & Alan Shiell & Frank Kee & Frank de Vocht & Martin O’Flaherty & Nigel Gilbert & Robin Purshouse & Stewart Robinson , 2023. "Guidance on the use of complex systems models for economic evaluations of public health interventions," Health Economics, John Wiley & Sons, Ltd., vol. 32(7), pages 1603-1625, July.

    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:spr:pharme:v:32:y:2014:i:6:p:521-523. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.