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亲属选定样本相关性中的偏差:软选择的影响。

Bias in correlations from selected samples of relatives: the effects of soft selection.

作者信息

Neale M C, Eaves L J, Kendler K S, Hewitt J K

出版信息

Behav Genet. 1989 Mar;19(2):163-9. doi: 10.1007/BF01065901.

Abstract

Martin and Wilson (1982) describe two forms of sampling bias in twin studies. One is "hard selection," where individuals above a threshold participate, and those below do not. The second is "soft selection," where the probability of including a pair of relatives varies over the range of the character. We present an alternative model of soft selection which has strikingly different consequences for the resemblance between relatives. In general, the softer the threshold, the more the correlation resembles that in the underlying population. Results are presented where the probability of selection equals the cumulative distribution function of a normal distribution with 10% of the variance of the selected variable. In these circumstances, soft selection usually leads to less severely attenuated correlations than truncate selection.

摘要

马丁和威尔逊(1982年)描述了双胞胎研究中的两种抽样偏差形式。一种是“硬选择”,即高于阈值的个体参与,低于阈值的个体不参与。第二种是“软选择”,即纳入一对亲属的概率在性状范围内变化。我们提出了一种软选择的替代模型,该模型对于亲属之间的相似性有着截然不同的结果。一般来说,阈值越软,相关性就越类似于基础总体中的相关性。给出了选择概率等于具有所选变量10%方差的正态分布累积分布函数时的结果。在这些情况下,软选择通常比截断选择导致的相关性衰减程度要小。

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