IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-031-53043-2_9.html
   My bibliography  Save this book chapter

Risk Prediction and Risk Classification

In: Biostatistics and Epidemiology

Author

Listed:
  • Sylvia Wassertheil-Smoller

    (Albert Einstein College of Medicine, Department of Epidemiology and Population Health)

  • Jordan Smoller

    (Massachusetts General Hospital, Department of Psychiatry and Center for Genomic Medicine)

Abstract

We are interested in predicting risk of a disease for an individual because treatment decisions are often based on risk. We will use cardiovascular risk as an example in the following sections. Treatment guidelines for high blood pressure or high cholesterol from the American Heart Association differ for people at high risk of cardiovascular disease from those at lower risk. For example, anticoagulant drugs are recommended to people who have atrial fibrillation (a type of heart arrhythmia) if they are at high risk of stroke. Since anticoagulants pose a risk of bleeding, they are not recommended for people who have a low risk of stroke. Prediction of risk is also very useful for public health matters. Knowing what percentage of a population is at high risk can help health planners to mount preventive measures and to plan utilization of resources.

Suggested Citation

  • Sylvia Wassertheil-Smoller & Jordan Smoller, 2024. "Risk Prediction and Risk Classification," Springer Books, in: Biostatistics and Epidemiology, edition 5, chapter 0, pages 187-195, Springer.
    • Handle: RePEc:spr:sprchp:978-3-031-53043-2_9
    DOI: 10.1007/978-3-031-53043-2_9
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:sprchp:978-3-031-53043-2_9. 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: 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.