论文标题
使用MacSIM方法评估各个链接的准确性和不同的块大小和截止值
Assessing the accuracy of individual link with varying block sizes and cut-off values using MaCSim approach
论文作者
论文摘要
记录链接是将属于同一实体的不同数据源的记录匹配的过程。许多组织越来越多地使用记录联系，包括统计，健康，政府等，将行政，调查和其他文件链接起来，以创建一个可靠的文件以进行更全面的分析。因此，有必要评估链接方法实现高精度或在准确性方面进行比较的能力。在本文中，我们通过利用基于马尔可夫链的蒙特卡洛模拟方法（MACSIM），使用不同的块大小和不同的截止值评估单个链接的准确性。 MacSim使用两个链接文件来创建协议矩阵。模拟协议矩阵以生成协议矩阵的重新采样版本。在每个模拟中使用定义的链接方法来链接文件，并评估了链接方法的准确性。本文的目的是促进块大小和截止值的最佳选择，以在最小化平均错误发现率和假阴性率的情况下实现高精度。分析已使用澳大利亚统计局（ABS）提供的合成数据集进行，并指出了有希望的结果。
Record linkage is the process of matching together records from different data sources that belong to the same entity. Record linkage is increasingly being used by many organizations including statistical, health, government etc. to link administrative, survey, and other files to create a robust file for more comprehensive analysis. Therefore, it becomes necessary to assess the ability of a linking method to achieve high accuracy or compare between methods with respect to accuracy. In this paper, we evaluate the accuracy of individual link using varying block sizes and different cut-off values by utilizing a Markov Chain based Monte Carlo simulation approach (MaCSim). MaCSim utilizes two linked files to create an agreement matrix. The agreement matrix is simulated to generate re-sampled versions of the agreement matrix. A defined linking method is used in each simulation to link the files and the accuracy of the linking method is assessed. The aim of this paper is to facilitate optimal choice of block size and cut-off value to achieve high accuracy in terms of minimizing average False Discovery Rate and False Negative Rate. The analyses have been performed using a synthetic dataset provided by the Australian Bureau of Statistics (ABS) and indicated promising results.
