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Decision Curve Analysis: A Novel Method for Evaluating Prediction Models

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  1. Rosario Megna & Alberto Cuocolo & Mario Petretta, 2019. "Applications of Machine Learning in Medicine," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 20(1), pages 15350-15352, August.
  2. Jing Sun & Yue Liu & Jianhui Zhao & Bin Lu & Siyun Zhou & Wei Lu & Jingsun Wei & Yeting Hu & Xiangxing Kong & Junshun Gao & Hong Guan & Junli Gao & Qian Xiao & Xue Li, 2024. "Plasma proteomic and polygenic profiling improve risk stratification and personalized screening for colorectal cancer," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
  3. Minta Thomas & Yu-Ru Su & Elisabeth A. Rosenthal & Lori C. Sakoda & Stephanie L. Schmit & Maria N. Timofeeva & Zhishan Chen & Ceres Fernandez-Rozadilla & Philip J. Law & Neil Murphy & Robert Carreras-, 2023. "Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
  4. Khushal Arjan & Lui G Forni & Richard M Venn & David Hunt & Luke Eliot Hodgson, 2021. "Clinical decision-making in older adults following emergency admission to hospital. Derivation and validation of a risk stratification score: OPERA," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-12, March.
  5. Kevin Sandeman & Juho T Eineluoto & Joona Pohjonen & Andrew Erickson & Tuomas P Kilpeläinen & Petrus Järvinen & Henrikki Santti & Anssi Petas & Mika Matikainen & Suvi Marjasuo & Anu Kenttämies & Tuoma, 2020. "Prostate MRI added to CAPRA, MSKCC and Partin cancer nomograms significantly enhances the prediction of adverse findings and biochemical recurrence after radical prostatectomy," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-14, July.
  6. Alex Thompson & Scott Devine & Mike Kattan & Andrew Muir, 2014. "Prediction of Treatment Week Eight Response & Sustained Virologic Response in Patients Treated with Boceprevir Plus Peginterferon Alfa and Ribavirin," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-8, August.
  7. Danny J N Wong & Steve Harris & Arun Sahni & James R Bedford & Laura Cortes & Richard Shawyer & Andrew M Wilson & Helen A Lindsay & Doug Campbell & Scott Popham & Lisa M Barneto & Paul S Myles & SNAP-, 2020. "Developing and validating subjective and objective risk-assessment measures for predicting mortality after major surgery: An international prospective cohort study," PLOS Medicine, Public Library of Science, vol. 17(10), pages 1-22, October.
  8. Ja Hyeon Ku & Myong Kim & Seok-Soo Byun & Hyeon Jeong & Cheol Kwak & Hyeon Hoe Kim & Sang Eun Lee, 2015. "External Validation of Models for Prediction of Lymph Node Metastasis in Urothelial Carcinoma of the Bladder," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-10, October.
  9. Ying Huang & Eric Laber, 2016. "Personalized Evaluation of Biomarker Value: A Cost-Benefit Perspective," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 8(1), pages 43-65, June.
  10. Jiann-Der Lee & Ya-Wen Kuo & Chuan-Pin Lee & Yen-Chu Huang & Meng Lee & Tsong-Hai Lee, 2022. "Development and Validation of a Novel Score for Predicting Paroxysmal Atrial Fibrillation in Acute Ischemic Stroke," IJERPH, MDPI, vol. 19(12), pages 1-11, June.
  11. Jérôme Allyn & Cyril Ferdynus & Michel Bohrer & Cécile Dalban & Dorothée Valance & Nicolas Allou, 2016. "Simplified Acute Physiology Score II as Predictor of Mortality in Intensive Care Units: A Decision Curve Analysis," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-11, October.
  12. Lin Lu & Laurent Dercle & Binsheng Zhao & Lawrence H. Schwartz, 2021. "Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
  13. Christian Bock & Joan Elias Walter & Bastian Rieck & Ivo Strebel & Klara Rumora & Ibrahim Schaefer & Michael J. Zellweger & Karsten Borgwardt & Christian Müller, 2024. "Enhancing the diagnosis of functionally relevant coronary artery disease with machine learning," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
  14. Yanqing Wang & Yingqi Zhao & Yingye Zheng, 2022. "Targeted Search for Individualized Clinical Decision Rules to Optimize Clinical Outcomes," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 14(3), pages 564-581, December.
  15. Bacchetti Peter & Boylan Ross, 2009. "Estimating Complex Multi-State Misclassification Rates for Biopsy-Measured Liver Fibrosis in Patients with Hepatitis C," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-27, January.
  16. Hormuzd A. Katki & Ionut Bebu, 2021. "A simple framework to identify optimal cost‐effective risk thresholds for a single screen: Comparison to Decision Curve Analysis," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(3), pages 887-903, July.
  17. Yiwang Zhou & Peter X.K. Song & Haoda Fu, 2021. "Net benefit index: Assessing the influence of a biomarker for individualized treatment rules," Biometrics, The International Biometric Society, vol. 77(4), pages 1254-1264, December.
  18. Baker Stuart G. & Van Calster Ben & Steyerberg Ewout W., 2012. "Evaluating a New Marker for Risk Prediction Using the Test Tradeoff: An Update," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-37, March.
  19. Stuart G. Baker, 2024. "Evaluating Risk Prediction with Data Collection Costs: Novel Estimation of Test Tradeoff Curves," Medical Decision Making, , vol. 44(1), pages 53-63, January.
  20. 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.
  21. Tae Yoon Lee & Paul Gustafson & Mohsen Sadatsafavi, 2023. "Closed-Form Solution of the Unit Normal Loss Integral in 2 Dimensions, with Application in Value-of-Information Analysis," Medical Decision Making, , vol. 43(5), pages 621-626, July.
  22. Konstantina Chalkou & Andrew J. Vickers & Fabio Pellegrini & Andrea Manca & Georgia Salanti, 2023. "Decision Curve Analysis for Personalized Treatment Choice between Multiple Options," Medical Decision Making, , vol. 43(3), pages 337-349, April.
  23. Ryan W Gan & Diana Sun & Amanda R Tatro & Shirley Cohen-Mekelburg & Wyndy L Wiitala & Ji Zhu & Akbar K Waljee, 2021. "Replicating prediction algorithms for hospitalization and corticosteroid use in patients with inflammatory bowel disease," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-13, September.
  24. Minyong Kang & Chang Wook Jeong & Woo Suk Choi & Yong Hyun Park & Sung Yong Cho & Sangchul Lee & Seung Bae Lee & Ja Hyeon Ku & Sung Kyu Hong & Seok-Soo Byun & Hyeon Jeong & Cheol Kwak & Hyeon Hoe Kim , 2014. "Pre- and Post-Operative Nomograms to Predict Recurrence-Free Probability in Korean Men with Clinically Localized Prostate Cancer," PLOS ONE, Public Library of Science, vol. 9(6), pages 1-7, June.
  25. Anirudh Tomer & Daan Nieboer & Monique J. Roobol & Ewout W. Steyerberg & Dimitris Rizopoulos, 2019. "Personalized schedules for surveillance of low‐risk prostate cancer patients," Biometrics, The International Biometric Society, vol. 75(1), pages 153-162, March.
  26. Bernd Lütkenhöner & Türker Basel, 2013. "Predictive Modeling for Diagnostic Tests with High Specificity, but Low Sensitivity: A Study of the Glycerol Test in Patients with Suspected Menière’s Disease," PLOS ONE, Public Library of Science, vol. 8(11), pages 1-12, November.
  27. Thanutorn Wongthida & Lalita Lumkul & Jayanton Patumanond & Wattana Wongtheptian & Dilok Piyayotai & Phichayut Phinyo, 2022. "Development of a Clinical Risk Score for Prediction of Life-Threatening Arrhythmia Events in Patients with ST Elevated Acute Coronary Syndrome after Primary Percutaneous Coronary Intervention," IJERPH, MDPI, vol. 19(4), pages 1-18, February.
  28. Dexin Chen & Meiting Fu & Liangjie Chi & Liyan Lin & Jiaxin Cheng & Weisong Xue & Chenyan Long & Wei Jiang & Xiaoyu Dong & Jian Sui & Dajia Lin & Jianping Lu & Shuangmu Zhuo & Side Liu & Guoxin Li & G, 2022. "Prognostic and predictive value of a pathomics signature in gastric cancer," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
  29. Gu Wen & Pepe Margaret, 2009. "Measures to Summarize and Compare the Predictive Capacity of Markers," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-49, October.
  30. François Luthi & Olivier Deriaz & Philippe Vuistiner & Cyrille Burrus & Roger Hilfiker, 2014. "Predicting Non Return to Work after Orthopaedic Trauma: The Wallis Occupational Rehabilitation RisK (WORRK) Model," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-11, April.
  31. Foucher Yohann & Giral Magali & Soulillou Jean-Paul & Daurès Jean-Pierre, 2012. "Cut-Off Estimation and Medical Decision Making Based on a Continuous Prognostic Factor: The Prediction of Kidney Graft Failure," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-13, January.
  32. Chang Wook Jeong & Sangchul Lee & Jin-Woo Jung & Byung Ki Lee & Seong Jin Jeong & Sung Kyu Hong & Seok-Soo Byun & Sang Eun Lee, 2014. "Mobile Application-Based Seoul National University Prostate Cancer Risk Calculator: Development, Validation, and Comparative Analysis with Two Western Risk Calculators in Korean Men," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-7, April.
  33. Capponi, Giovanna & Martinelli, Arianna & Nuvolari, Alessandro, 2022. "Breakthrough innovations and where to find them," Research Policy, Elsevier, vol. 51(1).
  34. Shamil D. Cooray & Lihini A. Wijeyaratne & Georgia Soldatos & John Allotey & Jacqueline A. Boyle & Helena J. Teede, 2020. "The Unrealised Potential for Predicting Pregnancy Complications in Women with Gestational Diabetes: A Systematic Review and Critical Appraisal," IJERPH, MDPI, vol. 17(9), pages 1-20, April.
  35. Mohsen Sadatsafavi & Tae Yoon Lee & Paul Gustafson, 2022. "Uncertainty and the Value of Information in Risk Prediction Modeling," Medical Decision Making, , vol. 42(5), pages 661-671, July.
  36. 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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