A comparison of spatial scan methods for cluster detection
A comparison of spatial scan methods for cluster detection
复制标题
用于聚类检测的空间扫描方法的比较
DOI：
10.1080/00949655.2022.2065676
复制
发表时间：
2022
影响因子：
1.2
通讯作者：
Panter, Lee
中科院分区：
文献类型：
--
作者：
French, Joshua P.;Meysami, Mohammad;Hall, Lauren M.;Weaver, Nicholas E.;Nguyen, Minh C.;Panter, Lee
空间扫描方法在使用疾病计数数据识别疾病簇方面非常流行。由Kulldorff提出的原始圆形扫描方法[A]空间扫描统计量。通讯统计理论方法；1997；26(6): 1481-1496]易于实现，计算成本低，并且具有检测圆形簇的高功率；然而，它很难识别非圆形集群。为了更好地检测不规则形状的簇，人们提出了许多对原始方法的扩展。我们简要介绍了几种流行的空间扫描方法扩展（如上水平集、灵活形、动态最小生成树、快速子集等）。然后，我们通过将这些方法应用于基于46个不同聚类形状的126个公开可用的基准数据集，比较了各种方法的性能，包括功率、灵敏度、正预测值和总体准确性。这些比较比以往任何关于这一主题的研究都更深入，包括更多的方法；许多方法从未被直接比较过。我们研究的全面性使我们能够得出可靠的结论，并就最佳执行方法提出具体建议。提供了R包和脚本以使结果可重现。
Spatial scan methods are extremely popular for identifying disease clusters using disease count data. The original circular scan method proposed by Kulldorff [A spatial scan statistic. Comm Statist Theory Methods. 1997;26(6):1481–1496] is simple to implement, is computationally inexpensive to apply, and has high power for detecting circular clusters; however, it can struggle to identify non-circular clusters. Many extensions of the original method have been proposed to better detect irregularly-shaped clusters. We briefly describe several popular spatial scan method extensions (e.g. Upper Level Set, Flexibly-shaped, Dynamic Minimum Spanning Tree, Fast Subset, etc.). We then compare the performance of the various methods using power, sensitivity, positive predictive value, and overall accuracy by applying these methods to 126 publicly-available benchmark data sets based on 46 different cluster shapes. The comparisons go into more depth and include more methods than any previous studies of this topic; many of the methods have never been directly compared. The comprehensiveness of our study allows us to draw reliable conclusions and make concrete recommendations about the best performing methods. R packages and scripts are provided to make results reproducible.
影响因子：
5
作者：
Bruce W. Turnbull;Eric J. Iwano;William S. Burnett;Holly L. Howe;Larry C. Clark
通讯作者：
Bruce W. Turnbull;Eric J. Iwano;William S. Burnett;Holly L. Howe;Larry C. Clark
DOI：
--
发表时间：
1988
期刊：
The Lancet
影响因子：
--
作者：
Stan Openshaw;Martin Charlton;A. W. Craft;JM Birch
通讯作者：
JM Birch