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Relative risk estimates from spatial and space-time scan statistics: Are they biased?

机译:来自时空扫描统计的相对风险估计:它们是否有偏差?

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摘要

The purely spatial and space-time scan statistics have been successfully used by many scientists to detect and evaluate geographical disease clusters. Although the scan statistic has high power in correctly identifying a cluster, no study has considered the estimates of the cluster relative risk in the detected cluster. In this paper we evaluate whether there is any bias on these estimated relative risks. Intuitively, one may expect that the estimated relative risks has upward bias, since the scan statistic cherry picks high rate areas to include in the cluster. We show that this intuition is correct for clusters with low statistical power, but with medium to high power the bias becomes negligible. The same behaviour is not observed for the prospective space-time scan statistic, where there is an increasing conservative downward bias of the relative risk as the power to detect the cluster increases.
机译:纯粹的空间和时空扫描统计数据已被许多科学家成功地用于检测和评估地理疾病群。尽管扫描统计数据在正确识别群集中具有很高的威力,但没有研究考虑过对检测到的群集中群集相对风险的估计。在本文中,我们评估了这些估计的相对风险是否存在偏差。凭直觉,由于扫描统计数据选择了要包括在群集中的高速率区域,因此可以预期估计的相对风险具有向上偏差。我们表明,这种直觉对于具有低统计功效的聚类是正确的,但对于中等至高功效,偏倚可以忽略不计。对于预期的时空扫描统计数据,未观察到相同的行为,其中随着检测聚类的能力增加,相对风险的保守性向下偏差有所增加。

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