统计学在伴随诊断(CDx)研究设计和分析中的作用

G. Campbell
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引用次数: 2

摘要

辅助诊断测试对精准医学的发展至关重要。这些测试提供了对安全有效使用特定治疗产品至关重要的信息。统计学在研究的设计和分析中发挥着关键作用,以证明伴随诊断的安全性和有效性。这篇文章可以为治疗统计学家和诊断统计学家介绍伴随诊断,并讨论一些统计挑战。主题包括生物标志物开发、诊断性能、错误分类、前瞻性回顾性验证、桥接研究、缺失数据、后续诊断和复杂特征。
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The role of statistics in the design and analysis of companion diagnostic (CDx) studies
Companion diagnostic tests are crucial in the development of precision medicine. These tests provide information that is essential for the safe and effective use of specific therapeutic products. Statistics plays a key role in the design and analysis of studies to demonstrate the safety and effectiveness of the companion diagnostics. This article can serve as an introduction to companion diagnostics for therapeutic statisticians and for diagnostic ones as well as a discussion of some of the statistical challenges. The topics include biomarker development, diagnostic performance, misclassification, prospective-retrospective validation, bridging studies, missing data, follow-on diagnostics and complex signatures.
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来源期刊
Biostatistics and Epidemiology
Biostatistics and Epidemiology Medicine-Health Informatics
CiteScore
1.80
自引率
0.00%
发文量
23
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