A flexible spatial scan statistic with a restricted likelihood ratio for detecting disease clusters
A flexible spatial scan statistic with a restricted likelihood ratio for detecting disease clusters
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DOI：
10.1002/sim.5478
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发表时间：
2012-12-30
影响因子：
2
通讯作者：
Takahashi, Kunihiko
中科院分区：
文献类型：
--
作者：
Tango, Toshiro;Takahashi, Kunihiko
空间扫描统计是广泛使用的疾病簇检测工具。特别是Kulldorff（1997）提出的圆形空间扫描统计已被广泛应用于流行病学研究和疾病监测。然而，由于它无法检测非圆形、不规则形状的簇，许多作者提出了不同的空间扫描统计量，包括库尔多夫扫描统计量的椭圆版本。 Tango 和 Takahashi (2005) 提出的灵活空间扫描统计也已用于检测不规则形状的簇。然而，由于计算量大，该方法设置了最多 30 个最近邻来搜索候选簇的可行限制。在本文中，我们展示了一种使用 Tango (2008) 提出的受限似然比实现的灵活空间扫描统计量，以 (1) 消除 30 个最近邻的限制，并且 (2) 与原始灵活空间扫描统计量相比，计算时间少得多。作为副作用，它被证明能够很好地检测任何形状的簇，因为通过蒙特卡罗模拟，簇的相对风险变大。我们用日本东京都市区脑血管疾病死亡率的数据来说明所提出的空间扫描统计数据。版权所有 (c) 2012 John Wiley & Sons, Ltd.
Spatial scan statistics are widely used tools for detection of disease clusters. Especially, the circular spatial scan statistic proposed by Kulldorff (1997) has been utilized in a wide variety of epidemiological studies and disease surveillance. However, as it cannot detect noncircular, irregularly shaped clusters, many authors have proposed different spatial scan statistics, including the elliptic version of Kulldorff's scan statistic. The flexible spatial scan statistic proposed by Tango and Takahashi (2005) has also been used for detecting irregularly shaped clusters. However, this method sets a feasible limitation of a maximum of 30 nearest neighbors for searching candidate clusters because of heavy computational load. In this paper, we show a flexible spatial scan statistic implemented with a restricted likelihood ratio proposed by Tango (2008) to (1) eliminate the limitation of 30 nearest neighbors and (2) to have surprisingly much less computational time than the original flexible spatial scan statistic. As a side effect, it is shown to be able to detect clusters with any shape reasonably well as the relative risk of the cluster becomes large via Monte Carlo simulation. We illustrate the proposed spatial scan statistic with data on mortality from cerebrovascular disease in the Tokyo Metropolitan area, Japan. Copyright (c) 2012 John Wiley & Sons, Ltd.