A spatial scan statistic for compound Poisson data

Rhonda J. Rosychuk, Hsing Ming Chang

研究成果: Article同行評審

5 引文 斯高帕斯(Scopus)

摘要

The topic of spatial cluster detection gained attention in statistics during the late 1980s and early 1990s. Effort has been devoted to the development of methods for detecting spatial clustering of cases and events in the biological sciences, astronomy and epidemiology. More recently, research has examined detecting clusters of correlated count data associated with health conditions of individuals. Such a method allows researchers to examine spatial relationships of disease-related events rather than just incident or prevalent cases. We introduce a spatial scan test that identifies clusters of events in a study region. Because an individual case may have multiple (repeated) events, we base the test on a compound Poisson model. We illustrate our method for cluster detection on emergency department visits, where individuals may make multiple disease-related visits.

原文English
頁(從 - 到)5106-5118
頁數13
期刊Statistics in Medicine
32
發行號29
DOIs
出版狀態Published - 2013 十二月 20

All Science Journal Classification (ASJC) codes

  • 流行病學
  • 統計與概率

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