如何通俗地解释错误发现率FDR( false discovery rate)？ - 知乎
29 November 2024 admin
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错误发现率FDR是指在所有发现中发生了错误所占的比率，常用于多重假设检验中矫正p值。本文从统计和生物信息的角度，用图示和公式介绍了FDR的含义、计算方法和应用场景，以及与真阳性率、真阴性率、假阳性率、假阴性率的关系。
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