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卫生健康标准中关系型数据共现矩阵计算及SAS程序实现

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目的 设计卫生健康标准中关系型数据共现矩阵的求解路径及其SAS实现方法.方法 文章以计算一组标准的起草单位共现矩阵为例,将"标准-起草单位"二维表格导入SAS(版本号:9.4),按照"两两相乘"的计算思路自行设计宏程序计算起草单位之间的共现矩阵.结果 以计算一组标准的起草单位共现矩阵为例,采用自行构建的模拟数据进行演示.首先,导入宏循环起始的数据集,并计算共现频次Cj,k;然后,导出为out数据集,进一步合并数据集,形成最终的共现矩阵.结论 SAS宏程序计算标准中关系型数据共现矩阵具有灵活高效的优势,可用于社会网络分析和互动演进规律总结.
Calculation of the Co-Occurrence Matrix of Relational Data in Health&Hygiene Standards and Implementation by SAS Macro
Objective To design a solution path for the co-occurrence matrix of relational data in health&hygiene standards by SAS.Methods The paper takes the calculation of co-occurrence matrix of a group of standard drafting agency as an example,imports the two-dimensional table of"standard-drafting agency"into SAS(version No.:9.4),and designs a macro program to calculate the co-occurrence matrix between drafting agency according to the calculation of"pairings multiplication".Results Taking the calculation of the co-occurrence matrix of drafting agency for a set of standards as an example,a self-built simulation data is used for demonstration.Firstly,import the dataset at the beginning of the macro loop,then calculate the co-occurrence frequency Cj,k,export it as an out dataset,and further merge the dataset to form the final co-occurrence matrix.Conclusion SAS macro program has the advantage of flexibility and efficiency in calculating the co-occurrence matrix of relational data,which can be used for social network analysis and interaction evolution exploration.

health&hygiene standardsrelational dataco-occurrence matrixdrafting agencySAS macrosocial network analysisinteractive evolution

刘拓、侯学文、李宁、俞铖航、黄烈雨

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中国疾病预防控制中心职业卫生与中毒控制所职业卫生标准研究室,北京 100050

淄博市疾病预防控制中心办公室,山东 淄博 255026

淄博市疾病预防控制中心职业卫生与中毒控制所,山东 淄博 255026

中国疾病预防控制中心寄生虫病预防控制所/国家热带病研究中心科技教育处,上海 200025

中国疾病预防控制中心政策规划研究室,北京 102206

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卫生健康标准 关系型数据 共现矩阵 起草单位 SAS宏 社会网络分析 互动演进

中国疾控中心职业卫生所职业健康风险评估与国家职业卫生标准制订项目

131031109000160004

2024

中国卫生标准管理
《中国卫生标准管理》杂志社

中国卫生标准管理

影响因子:1.374
ISSN:1674-9316
年,卷(期):2024.15(1)
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