Statistical Matching Using File Concatenation With Adjusted Weights and Multiple Imputations
Statistical Matching Using File Concatenation With Adjusted Weights and Multiple Imputations
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DOI：
10.1080/07350015.1986.10509497
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发表时间：
1986
影响因子：
3
通讯作者：
D. Rubin
中科院分区：
文献类型：
--
作者：
D. Rubin
创建统计匹配的文件是为了解决实际问题，即没有单个文件具有绘制重要推断所需的全部变量集。回顾了以往的文件匹配方法，并对调整权重和多重插补的文件拼接方法进行了描述和说明。这种方法的一个主要优点是能够显示推理对创建匹配文件时所做的不可测试假设的敏感性。
Statistically matched files are created in an attempt to solve the practical problem that exists when no single file has the full set of variables needed for drawing important inferences. Previous methods of file matching are reviewed, and the method of file concatenation with adjusted weights and multiple imputations is described and illustrated on an artificial example. A major benefit of this approach is the ability to display sensitivity of inference to untestable assumptions being made when creating the matched file.