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A primer on receiver operating characteristic analysis and diagnostic efficiency statistics for pediatric psychology: We are ready to ROC

机译:儿科心理学接收器工作特征分析和诊断效率统计的入门知识:我们准备好进行中华民国

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Objective To offer a practical demonstration of receiver operating characteristic (ROC) analyses, diagnostic efficiency statistics, and their application to clinical decision making using a popular parent checklist to assess for potential mood disorder. Method Secondary analyses of data from 589 families seeking outpatient mental health services, completing the Child Behavior Checklist and semi-structured diagnostic interviews. Results Internalizing Problems raw scores discriminated mood disorders significantly better than did age-and gender-normed T scores, or an Affective Problems score. Internalizing scores <8 had a diagnostic likelihood ratio <0.3, and scores >30 had a diagnostic likelihood ratio of 7.4. Conclusions This study illustrates a series of steps in defining a clinical problem, operationalizing it, selecting a valid study design, and using ROC analyses to generate statistics that support clinical decisions. The ROC framework offers important advantages for clinical interpretation. Appendices include sample scripts using SPSS and R to check assumptions and conduct ROC analyses.
机译:目的提供实用的接收器工作特征(ROC)分析,诊断效率统计数据及其在临床决策中的应用的演示,该过程使用流行的父母核对表评估潜在的情绪障碍。方法对来自589个寻求门诊心理健康服务的家庭的数据进行二次分析,完成儿童行为清单和半结构式诊断访谈。结果内在化问题原始评分对情绪障碍的区分明显优于年龄和性别标准化的T评分或情感问题评分。内部化得分<8的诊断可能性比<0.3,得分> 30的诊断可能性比7.4。结论本研究说明了定义临床问题,对其进行操作,选择有效的研究设计以及使用ROC分析生成支持临床决策的统计数据的一系列步骤。 ROC框架为临床解释提供了重要的优势。附录包括使用SPSS和R的示例脚本,以检查假设并进行ROC分析。

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