A tree-based scan statistic for database disease surveillance
A tree-based scan statistic for database disease surveillance
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DOI：
10.1111/1541-0420.00039
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发表时间：
2003-06-01
期刊：
影响因子：
1.9
通讯作者：
Walsh, SJ
中科院分区：
文献类型：
--
作者：
Kulldorff, M;Fang, ZX;Walsh, SJ
有许多数据库可以用来研究健康事件与各种潜在风险因素之间的关系。在这些数据库中，有些数据库具有自然形成层次树结构的变量，例如药物和职业。将这些数据库用于监测目的，以发现与疾病风险的未被怀疑的关系，这是非常有意义的。我们提出了一个基于树的扫描统计，通过该监测可以进行最低限度的事先假设的职业/药物，增加风险的组，并调整为多个测试固有的许多潜在的组合。该方法使用国家卫生统计中心多死因数据库的数据进行说明，研究职业与矽肺死亡之间的关系。
Many databases exist with which it is possible to study the relationship between health events and various potential risk factors. Among these databases, some have variables that naturally form a hierarchical tree structure, such as pharmaceutical drugs and occupations. It is of great interest to use such databases for surveillance purposes in order to detect unsuspected relationships to disease risk. We propose a tree-based scan statistic, by which the surveillance can be conducted with a minimum of prior assumptions about the group of occupations/drugs that increase risk, and which adjusts for the multiple testing inherent in the many potential combinations. The method is illustrated using data from the National Center for Health Statistics Multiple Cause of Death Database, looking at the relationship between occupation and death from silicosis.