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Neuroblastoma obeys 'The law of small numbers'

机译:神经母细胞瘤遵守“少数法则”

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To the Editor: We noted that we would often see two to three cases of neuroblastoma at our center in a single month, and several months would pass until the next case occurred. Statisticians are extremely familiar with this pattern, first noted by the French mathematician Simeon Poisson in 1838. The "Poisson distribution" was best described by von Bortkiewicz, who was commissioned by the Czar to review army records and predict the likelihood of a Prussian cavalryman being killed by the kick of a horse in a given period of time. Von Bortkiewicz published a monograph ("The Law of Small Numbers"), which essentially demonstrated that an exponential relationship existed between rare independent events, and the time interval between those events occurring. Such events would therefore often occur clustered together, followed by long intervals of time with no events [1]. We retrospectively reviewed the incidence of patients with neuroblastoma at Albany Medical Center, between January 1, 2006 and December 31, 2010, to confirm that the presentation of these cases conformed to a Poisson distribution.
机译:致编辑:我们注意到,我们通常在一个月内会在我们的中心看到2至3例神经母细胞瘤,而几个月后会发生直到下一个病例发生。统计学家对这种模式极为熟悉,法国数学家西缅·泊松(Simeon Poisson)于1838年首先指出了这一点。冯·博特基维奇(von Bortkiewicz)最好地描述了“泊松分布”,冯·博特基维奇曾受沙皇的委托来审查军队的记录并预测普鲁士骑兵的可能性。在给定的时间内被马的脚踢杀死。冯·博特凯维奇(Von Bortkiewicz)出版了一部专着(“小数法则”),从根本上证明了罕见的独立事件之间以及这些事件发生之间的时间间隔之间存在指数关系。因此,此类事件通常会聚在一起发生,然后间隔很长的时间而没有事件[1]。我们回顾了2006年1月1日至2010年12月31日期间在奥尔巴尼医学中心(Albany Medical Center)的神经母细胞瘤患者的发病率,以确认这些病例的呈报符合泊松分布。

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