A Systematic Review of the Literature Demonstrates Some Errors in the Use of Decision Curve Analysis but Generally Correct Interpretation of Findings
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Abstract
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DOI: 10.1177/0272989X19832881
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References listed on IDEAS
- Lars Holmberg & Andrew Vickers, 2013. "Evaluation of Prediction Models for Decision-Making: Beyond Calibration and Discrimination," PLOS Medicine, Public Library of Science, vol. 10(7), pages 1-2, July.
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Cited by:
- Stuart G. Baker, 2019. "Decision Curves and Relative Utility Curves," Medical Decision Making, , vol. 39(5), pages 489-490, July.
- 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.
- Yuan Gao & Sofia Ventura-Diaz & Xin Wang & Muzhen He & Zeyan Xu & Arlene Weir & Hong-Yu Zhou & Tianyu Zhang & Frederieke H. Duijnhoven & Luyi Han & Xiaomei Li & Anna D’Angelo & Valentina Longo & Zaiyi, 2024. "An explainable longitudinal multi-modal fusion model for predicting neoadjuvant therapy response in women with breast cancer," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
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Keywords
decision curve analysis; prediction; quality;All these keywords.
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