Monte Carlo decision curve analysis using aggregate data

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• 作者：Iztok Hozo ; Athanasios Tsalatsanis and Benjamin Djulbegovic
• 刊名：European Journal of Clinical Investigation
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：47
• 期：2
• 页码：176-183
• 全文大小：309K
• ISSN：1365-2362

文摘

Decision curve analysis (DCA) is an increasingly used method for evaluating diagnostic tests and predictive models, but its application requires individual patient data. The Monte Carlo (MC) method can be used to simulate probabilities and outcomes of individual patients and offers an attractive option for application of DCA.