IDEAS home Printed from https://ideas.repec.org/a/spr/pharme/v34y2016i2p195-205.html
   My bibliography  Save this article

Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease

Author

Listed:
  • Chris Schilling
  • Duncan Mortimer
  • Kim Dalziel
  • Emma Heeley
  • John Chalmers
  • Philip Clarke

Abstract

There is little evidence that AR guidelines recommended by the National Heart Foundation and National Vascular Disease Prevention Alliance, or conditional individual risk eligibility guidelines from the Pharmaceutical Benefits Scheme, are adopted in prescribing practice. The hierarchy of conditional relationships between risk factors and socioeconomic factors identified by CART provides new insights into prescribing decisions. Overall, CART is a useful addition to the analyst’s toolkit when investigating healthcare decisions. Copyright Springer International Publishing Switzerland 2016

Suggested Citation

  • Chris Schilling & Duncan Mortimer & Kim Dalziel & Emma Heeley & John Chalmers & Philip Clarke, 2016. "Using Classification and Regression Trees (CART) to Identify Prescribing Thresholds for Cardiovascular Disease," PharmacoEconomics, Springer, vol. 34(2), pages 195-205, February.
    • Handle: RePEc:spr:pharme:v:34:y:2016:i:2:p:195-205
    DOI: 10.1007/s40273-015-0342-3
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s40273-015-0342-3
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s40273-015-0342-3?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Drakopoulos, S A, 1994. "Hierarchical Choice in Economics," Journal of Economic Surveys, Wiley Blackwell, vol. 8(2), pages 133-153, June.
    2. Knott, Rachel J. & Petrie, Dennis J. & Heeley, Emma L. & Chalmers, John P. & Clarke, Philip M., 2015. "The effects of reduced copayments on discontinuation and adherence failure to statin medication in Australia," Health Policy, Elsevier, vol. 119(5), pages 620-627.
    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. Schilling, Chris & Knight, Josh & Mortimer, Duncan & Petrie, Dennis & Clarke, Philip & Chalmers, John & Kerr, Andrew & Jackson, Rod, 2017. "Australian general practitioners initiate statin therapy primarily on the basis of lipid levels; New Zealand general practitioners use absolute risk," Health Policy, Elsevier, vol. 121(12), pages 1233-1239.
    2. Banzragch Nandintsetseg & Masato Shinoda & Baasandai Erdenetsetseg, 2018. "Contributions of multiple climate hazards and overgrazing to the 2009/2010 winter disaster in Mongolia," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 92(1), pages 109-126, November.
    3. Eberechukwu Onukwugha, 2016. "Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis," PharmacoEconomics, Springer, vol. 34(2), pages 91-93, February.
    4. Eberechukwu Onukwugha, 2016. "Big Data and Its Role in Health Economics and Outcomes Research: A Collection of Perspectives on Data Sources, Measurement, and Analysis," PharmacoEconomics, Springer, vol. 34(2), pages 91-93, February.
    5. 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.

    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. Drakopoulos, Stavros, 2011. "Hierarchical Needs, Income Comparisons and Happiness Levels," MPRA Paper 48343, University Library of Munich, Germany.
    2. Drakopoulos, Stavros A., 2007. "Comparison Wage in Trade Union Decision Making," MPRA Paper 46287, University Library of Munich, Germany.
    3. Dieter Pennerstorfer & Nora Schindler & Christoph Weiss & Biliana Yontcheva, 2020. "Income Inequality and Product Variety: Empirical Evidence," Economics working papers 2020-17, Department of Economics, Johannes Kepler University Linz, Austria.
    4. Stavros Drakopoulos, 2008. "The paradox of happiness: towards an alternative explanation," Journal of Happiness Studies, Springer, vol. 9(2), pages 303-315, June.
    5. Scott, Anthony, 2001. "Eliciting GPs' preferences for pecuniary and non-pecuniary job characteristics," Journal of Health Economics, Elsevier, vol. 20(3), pages 329-347, May.
    6. Zdravka Todorova, 2013. "Conspicuous Consumption as Routine Expenditure and its Place in the Social Provisioning Process," American Journal of Economics and Sociology, Wiley Blackwell, vol. 72(5), pages 1183-1204, November.
    7. Kemp-Benedict, Eric, 2013. "Material needs and aggregate demand," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 44(C), pages 16-26.
    8. Drakopoulos, Stavros A. & Karayiannis, Anastassios, 2007. "The Paradox of Happiness: Evidence from the Late Pre-Classical and Classical Economic Thought," MPRA Paper 71657, University Library of Munich, Germany.
    9. Mandy Ryan & Mabelle Amaya‐Amaya, 2005. "‘Threats’ to and hopes for estimating benefits," Health Economics, John Wiley & Sons, Ltd., vol. 14(6), pages 609-619, June.
    10. Tae-Hee Jo, 2015. "Financing Investment under Fundamental Uncertainty and Instability: A Heterodox Microeconomic View," Bulletin of Political Economy, Bulletin of Political Economy, vol. 9(1), pages 33-54, June.
    11. Maximilien Nayaradou & Célia Berchi & Olivier Dejardin & Guy Launoy, 2010. "Eliciting Population Preferences for Mass Colorectal Cancer Screening Organization," Medical Decision Making, , vol. 30(2), pages 224-233, March.
    12. Hediger, Cécile & Farsi, Mehdi & Weber, Sylvain, 2018. "Turn It Up and Open the Window: On the Rebound Effects in Residential Heating," Ecological Economics, Elsevier, vol. 149(C), pages 21-39.
    13. Nachiketa Chattopadhyay & Amita Majumder & Dipankor Coondoo, 2009. "Demand Threshold, Zero Expenditure And Hierarchical Model Of Consumer Demand," Metroeconomica, Wiley Blackwell, vol. 60(1), pages 91-118, February.
    14. Scott, Anthony, 2002. "Identifying and analysing dominant preferences in discrete choice experiments: An application in health care," Journal of Economic Psychology, Elsevier, vol. 23(3), pages 383-398, June.
    15. Brendan Markey‐Towler, 2019. "The New Microeconomics: A Psychological, Institutional, and Evolutionary Paradigm with Neoclassical Economics as a Special Case," American Journal of Economics and Sociology, Wiley Blackwell, vol. 78(1), pages 95-135, January.
    16. Lavoie, Marc, 2004. "Post Keynesian consumer theory: Potential synergies with consumer research and economic psychology," Journal of Economic Psychology, Elsevier, vol. 25(5), pages 639-649, October.
    17. Kohtaro Hitomi & Masamune Iwasawa & Yoshihiko Nishiyama, 2022. "Optimal minimax rates against nonsmooth alternatives [Optimal testing for additivity in multiple nonparametric regression]," The Econometrics Journal, Royal Economic Society, vol. 25(2), pages 322-339.
    18. Drakopoulos, Stavros A., 1995. "Towards a Hierarchical Approach to Trade Union Behaviour," MPRA Paper 15597, University Library of Munich, Germany.
    19. Beaudreau, Bernard C., 2012. "A humanistic theory of economic behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 41(2), pages 222-234.
    20. Palermo Kuss Ana Helena & Neumärker K. J. Bernhard, 2018. "Modelling the Time Allocation Effects of Basic Income," Basic Income Studies, De Gruyter, vol. 13(2), pages 1-15, 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:spr:pharme:v:34:y:2016:i:2:p:195-205. 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.