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以色列五个群体中总胆固醇结构化探索性数据分析(SEDA)的排列方法。

Permutation methods for the structured exploratory data analysis (SEDA) of total cholesterol measured in five Israeli populations.

作者信息

Karlin S, Williams P T, Carmelli D, Cameron E

出版信息

Am J Epidemiol. 1985 Jul;122(1):163-86. doi: 10.1093/oxfordjournals.aje.a114075.

Abstract

Three structured exploratory data analysis-functionals are applied to plasma total cholesterol concentrations measured for 2,480 young men and women aged 17-18 years and living in Jerusalem, and for their parents. These triad families are divided into five groups according to whether both parents were born in Asia, North Africa, Europe-America, or Israel or whether they were of mixed "origins." The significances of the functionals were determined by a spectrum of permutation techniques that selectively shuffled the trait values across families in order to systematically alter certain family structure relationships while keeping other familial relationships intact. These analyses suggest that generational differences and various distributional effects influence patterns of spouse and parent-offspring interactions within these families and that the nature and forms of these effects and interactions may differ according to the origin of the parents. Results are discussed in relationship to historical and cultural differences among groups.

摘要

三种结构化探索性数据分析函数应用于对2480名年龄在17 - 18岁、居住在耶路撒冷的年轻男性和女性及其父母测量的血浆总胆固醇浓度。这些三口之家根据父母双方是否出生在亚洲、北非、欧美、以色列,或者他们是否具有混合“血统”分为五组。通过一系列排列技术确定这些函数的显著性,这些技术选择性地打乱家庭间的性状值,以便在保持其他家庭关系不变的同时系统地改变某些家庭结构关系。这些分析表明,代际差异和各种分布效应影响这些家庭中配偶和亲子互动模式,并且这些效应和互动的性质和形式可能因父母的出身而有所不同。结合群体间的历史和文化差异对结果进行了讨论。

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