著者
岩崎 学 吉田 清隆
出版者
日本計量生物学会
雑誌
計量生物学 (ISSN:09184430)
巻号頁・発行日
vol.26, no.2, pp.53-63, 2005-12-31 (Released:2011-09-30)
参考文献数
16

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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外部データベース (DOI)

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@shin1toku https://t.co/QlEYFG9DRw ここでは、片側信頼区間を用いているようです。
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 - https://t.co/h1WfjTw29T
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  https://t.co/QlEYFG9DRw
背景の論理は難しいけど得られる結論は簡単に理解できるものだから広く知られてもええ知識のような気もする。/J-STAGE Articles - 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 https://t.co/ccHRow6dbR
@tonkyo_Vc はい、「p値を出すのが正しいです」というのは分かりますが、「100万人の集団相手に調査をして0人」であっても、他の集団を調査すれば3人(95%CI範囲内)があってもおかしくないというのが、この文章(https://t.co/l8iIWcfQtU)なのでは?
@kikumaco @kaztsuda 私も津田っちの講演で聴いたような気がしてきた^^; 私が読んだそのルールは「100 万人調べて 0 でもなお他の 100 万人中 3 人に生起する可能性は否定できないのである」とありますね→https://t.co/l8iIWcfQtU

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