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The Importance of Uncertainty and Opt-In v. Opt-Out: Best Practices for Decision Curve Analysis

Author

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  • Kathleen F. Kerr

    (Department of Biostatistics, University of Washington, Seattle, WA, USA)

  • Tracey L. Marsh

    (Fred Hutchinson Cancer Research Center, Seattle, WA, USA)

  • Holly Janes

    (Fred Hutchinson Cancer Research Center, Seattle, WA, USA)

Abstract

No abstract is available for this item.

Suggested Citation

  • Kathleen F. Kerr & Tracey L. Marsh & Holly Janes, 2019. "The Importance of Uncertainty and Opt-In v. Opt-Out: Best Practices for Decision Curve Analysis," Medical Decision Making, , vol. 39(5), pages 491-492, July.
    • Handle: RePEc:sae:medema:v:39:y:2019:i:5:p:491-492
    DOI: 10.1177/0272989X19849436
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    References listed on IDEAS

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    1. Paolo Capogrosso & Andrew J. Vickers, 2019. "A Systematic Review of the Literature Demonstrates Some Errors in the Use of Decision Curve Analysis but Generally Correct Interpretation of Findings," Medical Decision Making, , vol. 39(5), pages 493-498, July.
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    Cited by:

    1. Tracey L. Marsh & Holly Janes & Margaret S. Pepe, 2020. "Statistical inference for net benefit measures in biomarker validation studies," Biometrics, The International Biometric Society, vol. 76(3), pages 843-852, September.

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