CAJ | 학술논문

常用的药品不良反应信号检测方法均是基于不相称测定理论，这些方法在信号检测过程中发挥了重要的作用。然而目前的信号检测过程存在一些缺陷，如多重性问题等，导致信号检测的准确性降低。通过介绍多重性问题对信号检测准确性的影响，和目前解决该问题的常用方法，如阳性结果错误率（false discovery rate, FDR）方法等。
상용적약품불량반응신호검측방법균시기우불상칭측정이론，저사방법재신호검측과정중발휘료중요적작용。연이목전적신호검측과정존재일사결함，여다중성문제등，도치신호검측적준학성강저。통과개소다중성문제대신호검측준학성적영향，화목전해결해문제적상용방법，여양성결과착오솔（false discovery rate, FDR）방법등。
Conventional signal detection methods based on disproportionality analysis are playing an important role in the process of signal detection of adverse drug reaction. However, these methods have their own drawbacks and the detection results are influenced greatly by the multiple hypothesis testing. These problems should be solved through new analysis strategy. In this article, we present the impact of multiple hypothesis testing on the signal detection and introduce the false discovery rate (FDR) methods that should solve the problem.