Identification

Author

Kulldorff M, Huang L, Konty K

Title

A scan statistic for continuous data based on the normal probability model.

Year

2009

Publication type

Article

Journal

International Journal of Health Geographics

Created

2014-06-09 17:03:10+00:00

Modified

2016-06-29 16:38:12.848595+00:00

Details

Volume

8

Number

58

Access

Language

English

URL http://www.ij-healthgeographics.com/content/8/1/58
DOI

10.1186/1476-072X-8-58

Accessed

2016-06-29

Extended information

Abstract

Temporal, spatial and space-time scan statistics are commonly used to detect and evaluate the statistical significance of temporal and/or geographical disease clusters, without any prior assumptions on the location, time period or size of those clusters. Scan statistics are mostly used for count data, such as disease incidence or mortality. Sometimes there is an interest in looking for clusters with respect to a continuous variable, such as lead levels in children or low birth weight. For such continuous data, we present a scan statistic where the likelihood is calculated using the the normal probability model. It may also be used for other distributions, while still maintaining the correct alpha level. In an application of the new method, we look for geographical clusters of low birth weight in New York City.