Adverse Reaction Signaling and Disproportionality Analysis: An Update

G. Faich, Jonathan Morris
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引用次数: 9

Abstract

There is an increased focus on signal detection, signal management, and the use of use of large collections of adverse event databases to meet the evolving regulatory mandates. The basic elements of signaling require an understanding of the different signaling methods, data mining approaches, and the strengths and limitations of disproportionality analysis. The application of signaling thresholds and the resulting statistical interpretation require an understanding of the methods themselves, as well as the strengths, limitations, and biases inherent in the adverse event data sources. This paper will highlight recent developments in these areas as well as provide cautions related to biases that affect reporting and analyses of adverse event databases.
不良反应信号和歧化分析:最新进展
人们越来越关注信号检测、信号管理,以及使用大量不良事件数据库来满足不断变化的监管要求。信令的基本要素需要了解不同的信令方法,数据挖掘方法,以及歧化分析的优势和局限性。信号阈值的应用和由此产生的统计解释需要了解方法本身,以及不良事件数据源中固有的优势、局限性和偏差。本文将重点介绍这些领域的最新发展,并提供与影响不良事件数据库报告和分析的偏差相关的注意事项。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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