皮尔森和偏相关系数模型在稻谷重金属污染程度研究中应用
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(1.北京协和医学院公共卫生学院,北京 100730;2.国家食品安全风险评估中心, 北京 100022;3.中国医学科学院医学信息研究所,北京 100020)

作者简介:

王珊 女 中级 研究方向为公共卫生事业管理 E-mail:wangshan@cfsa.net.cn 刘远立 男 教授 研究方向为医疗卫生政策体系与慢病管理老年保健 E-mail:liuyuanli_pumc@163.com 王小万 男 教授 研究方向为卫生经济与政策及医院管理 E-mail:wangxwan@gmail.com

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基于电子溯源的食品安全风险评估关键技术研究与应用项目(2015BAK36B04)


Application of Pearson and partial correlation coefficient model in the research of heavy metal pollution in rice
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(1.School of Public Health, Peking Union Medical College, Beijing 100730, China;2.China National Center for Food Safety Risk Assessment, Beijing 100022, China;3.Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing 100020, China)

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    摘要:

    目的 建立稻谷中14种元素(钡、钒、镉、锂、铝、锰、铅、铊、锑、铜、硒、铬、汞、砷)含量相关性分析方法,并比较其相关性。方法 基于皮尔森相关系数法和偏相关系数法,建立稻谷中14种元素的相关性分析,并对两种方法及结果进行比较。结果 两种方法均能从数据中发现多种元素间的相关性关系,并在运算复杂度、反映信息等方面各有特点:其中皮尔森相关系数法运算量较小,但反映的信息也较少;偏相关系数法的计算量和反映信息量均大于皮尔森相关系数法。通过皮尔森相关系数法比较稻谷中各元素含量,正相关性很强的元素对包括钡-钒、钡-铅、钒-锂、铝-锑、铜-铊;其余各项元素之间无显著相关性。偏相关系数法比较稻谷中各元素含量,正相关性很强的元素对包括钒-钡、铅-钡、总汞-钡、锑-铝;其余各项元素之间无显著相关性。结论 在当前的数据和软硬件条件下,建议采用偏相关系数法进行稻谷中元素含量的相关性分析。

    Abstract:

    Objective To construct and compare the methods for correlation analysis of different elements in rice,including barium, vanadium, cadmium, lithium, aluminum, manganese, lead,thallium,antimony,copper, selenium, ehromium, mercury and arsenic. Methods Analyze the correlation among the fourteen elements in rice by two methods:Pearson correlation coefficient and partial correlation coefficient, and compare the two methods. Results Both of the methods can find the correlations among various pollutants from the data and have their own characteristics on computational complexity, information abundancy and other aspects:Pearson correlation coefficient method has less computation, but also provides less information; Partial correlation coefficient provides more information but needs more samples and computing resources. The Pearson correlation coefficient method showed the positive correlation elements including barium-vanadium, barium-lead, vanadium-lithium, aluminum-antimony and copper-thallium. There was no significant correlation between the remaining elements. The partial correlation coefficient method showed strong positive correlation including vanadium-barium, lead-barium,total mercury-barium and antimony-aluminum. There was no significant correlation between the remaining elements. Conclusion Under the current data and software, hardware conditions, the correlation analysis of the partial correlation coefficient is recommended.

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王珊,苏亮,刘远立,王小万.皮尔森和偏相关系数模型在稻谷重金属污染程度研究中应用[J].中国食品卫生杂志,2020,32(6):631-635.

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  • 收稿日期:2020-09-28
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  • 在线发布日期: 2021-02-18
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