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Statistical analysis of the Tanimoto coefficient self-organizing map (TCSOM) applied to health behavioral survey data

机译:谷本系数自组织图(TCSOM)应用于健康行为调查数据的统计分析

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The Tanimoto coefficient self-organizing map (TCSOM) introduced by Garavaglia (1998) is applied to self-reported data on dairy milk consumption to identify milk consumption patterns throughout a person's life. The data are a cohort of US residents aged 66 and older. These results are merged with outcomes on self-reported osteoporosis and examination data on bone mineral density (BMD). For this cohort, lack of daily milk consumption as a child and irregular patterns of milk consumption appear to contribute to osteoporosis and low BMD later in life. Simple statistical analysis, including a z-test and several empirical distribution function (EDF) tests validate some of the self-organizing properties of the TCSOM. Density plots also illustrate the nonlinear grouping and self-organizing characteristics.
机译:Garavaglia(1998)引入的Tanimoto系数自组织图(TCSOM)被应用于关于乳汁牛奶消费的自我报告数据,以识别整个人一生中的乳汁消费模式。数据是66岁及以上的美国居民的队列。这些结果与自我报告的骨质疏松症的结果以及骨矿物质密度(BMD)的检查数据合并在一起。对于这个队列,儿童时期缺乏每日的牛奶消耗量和不规则的牛奶消耗量模式似乎会导致骨质疏松症,并在以后的生活中降低BMD。简单的统计分析,包括z检验和几个经验分布函数(EDF)检验,验证了TCSOM的一些自组织特性。密度图还说明了非线性分组和自组织特征。

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