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Risk Stratification

Risk Stratification

Risk Stratification

A Practical Guide for Clinicians
Charles C. Miller , University of Texas, Austin
Michael J. Reardon , Baylor College of Medicine, Houston
Hazim J. Safi , University of Texas, Austin
February 2001
Available
Paperback
9780521669450
£61.99
GBP
Paperback
USD
eBook

    Risk stratification is a statistical process by which quality of care can be assessed independently of patient case-mix. Evaluation of risk-adjusted patient outcome has become an important part of managed care contracting in some markets, and risk-adjusted outcome rates for hospitals are being reported more frequently in the popular press and on the internet. This book, written by a statistician and two surgeons for a clinical audience, is a practical guide to the process of risk stratification and does not require or assume an extensive mathematical background. It describes the rationale and assumptions for risk stratification, and provides information on evaluating the quality of various published risk-stratification studies. Numerous practical examples using real clinical data help to illustrate risk stratification in health care. The book also serves as a step-by-step guide to the production and dissemination of risk-adjusted outcome results for local programs.

    • Everything needed for the construction of a risk stratification is included in this book
    • A practical guide to the process of risk stratification, which uses real clinical data to illuminate the subject
    • Includes handy tips and definitions to highlight key points

    Reviews & endorsements

    'The three authors deserve all credit for this comprehensive book on risk stratification which can be recommended to clinicians as well as statisticians interested in this field. the book is easily readable also for non-statisticians and provides a sound overview on methods and principles.' Statistics in Medicine

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    Product details

    February 2001
    Paperback
    9780521669450
    190 pages
    248 × 176 × 16 mm
    0.513kg
    1 b/w illus. 12 tables
    Available

    Table of Contents

    • Preface
    • Introduction
    • 1. Risk
    • 2. Collecting data
    • 3. Risk and published studies
    • 4. Applying published risk estimates to local data
    • 5. Interpreting risk models
    • 6. Advanced issues
    • 7. Appendices
    • Index.
      Authors
    • Charles C. Miller , University of Texas, Austin
    • Michael J. Reardon , Baylor College of Medicine, Houston
    • Hazim J. Safi , University of Texas, Austin