对罕见事件发生概率的统计推测——Rule of Three及其周边

学 岩崎, 清隆 吉田
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引用次数: 4

摘要

对于严重药物不良反应等罕见事件a的发生,存在“三原则”提醒从业者“证据缺失不等于证据缺失”。三法则实际上是说,即使事件A在n个病人中没有被观察到,也很可能在其他n个病人中观察到三个事件。本文详细研究了这一有用的规则,并将其推广到a事件发生概率的检验问题。首先,将三规则推广到在前n个病人中观察到的事件数大于零的情况。我们给出规则,当在n例患者中观察到k(> 0)个事件时,在其他n例患者中可能观察到nk个事件。接下来,介绍了一个测试程序,以检查在一个人群的n个患者中观察到k个事件的情况下,两个人群中a的发生概率是否相同。将证明相关的概率分布为负二项分布,然后给出小k的临界区域。对于该程序的可能应用,我们提到了药物不良反应自发报告系统的信号检测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
稀な事象の生起確率に関する統計的推測 —Rule of Threeとその周辺—
For the occurrence of a rare event A such as a severe adverse drug reaction, there exists the “Rule of Three” to remind practitioners that “absence of evidence is not evidence of absence.” The Rule of Three actually says that even if the event A was not observed among n patients it would be quite possible to observe three events among other n patients. The present paper examines this useful rule in detail and also extends it to a testing problem for occurrence probability of A.First, the Rule of Three is extended to the case that the number of the event observed among the first n patients is more than zero. We give rules that when k (> 0) events were observed among n patients, nk events would be possibly observed among other n patients. Next, a testing procedure is introduced to examine whether the occurrence probabilities of A for two populations are the same under the condition that k events were observed among n patients for one population. It will be shown that the relevant probability distribution is a negative binomial, and then critical regions for small k's are given. For a possible application of the procedure, we mention the signal detection for spontaneous reporting system of adverse drug reaction.
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