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一种使用疾病传播多因素模型计算近似复发风险的简便方法。

An easy method of calculating approximate recurrence risks using a multifactorial model of disease transmission.

作者信息

Hutchinson T P

出版信息

Ann Hum Genet. 1980 Jan;43(3):285-93. doi: 10.1111/j.1469-1809.1980.tb01561.x.

Abstract

In the usual form of the multifactorial model of disease transmission, calculation of recurrence risks is made difficult by the necessity to evaluate integrals involving the Normal distribution. It is suggested here that this becomes much easier if the Normal distribution is replaced by the Pareto distribution. Tables are given systematically comparing values of recurrence risk calculated on the Normal and Pareto models when information about two or three first degree relatives is available. Also, a more complicated pedigree is examined. It is shown from these comparisons that the Pareto model gives very similar results to the Normal model.

摘要

在疾病传播的多因素模型的通常形式中,由于需要评估涉及正态分布的积分,复发风险的计算变得困难。本文提出,如果用帕累托分布取代正态分布,这将变得容易得多。系统地给出了表格,比较了在有两个或三个一级亲属信息时,基于正态模型和帕累托模型计算的复发风险值。此外,还研究了一个更复杂的家系。从这些比较中可以看出,帕累托模型给出的结果与正态模型非常相似。

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