摘要
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C_(j,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。
Objective To design a solution path for the cooccurrence 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 C_(j,k),export it as an out dataset,and further merge the dataset to form the final cooccurrence 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.
作者
刘拓
侯学文
李宁
俞铖航
黄烈雨
LIU Tuo;HOU Xuewen;LI Ning;YU Chenghang;HUANG Lieyu(Department of Occupational Health Standards Research,National Institute for Occupational Health and Poison Control,Chinese Center for Disease Control and Prevention,Beijing 100050,China;Office,Zibo Center for Disease Control and Prevention,Zibo Shandong 255026,China;Institute of Occupational Health and Poison Control,Zibo Center for Disease Control and Prevention,Zibo Shandong 255026,China;Department of Science Technology and Education,National Institute of Parasitic Diseases/National Center for International Research on Tropical Diseases,Chinese Center for Disease Control and Prevention,Shanghai 200025,China;Office of Policy and Planning Research,Chinese Center for Disease Control and Prevention,Beijing 102206,China)
出处
《中国卫生标准管理》
2024年第1期1-5,共5页
China Health Standard Management
基金
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)。
关键词
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
health&hygiene standards
relational data
cooccurrence matrix
drafting agency
SAS macro
social network analysis
interactive evolution
