Tango's Maximized Excess Events Test with Different Weights

Tango's Maximized Excess Events Test with Different Weights

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Tango's Maximized Excess Events Test with Different Weights

dc.contributor.author	Song, Changhong
dc.contributor.author	Kulldorff, Martin
dc.date.accessioned	2012-02-20T01:38:16Z
dc.date.issued	2005
dc.identifier.citation	Song, Changhong, and Martin Kulldorff. 2005. Tango's maximized excess events test with different weights. International Journal of Health Geographics 4: 32.	en_US
dc.identifier.issn	1476-072X	en_US
dc.identifier.uri	http://nrs.harvard.edu/urn-3:HUL.InstRepos:8191184
dc.description.abstract	Background Tango's maximized excess events test (MEET) has been shown to have very good statistical power in detecting global disease clustering. A nice feature of this test is that it considers a range of spatial scale parameters, adjusting for the multiple testing. This means that it has good power to detect a wide range of clustering processes. The test depends on the functional form of a weight function, and it is unknown how sensitive the test is to the choice of this weight function and what function provides optimal power for different clustering processes. In this study, we evaluate the performance of the test for a wide range of weight functions.Results The power varies greatly with different choice of weight. Tango's original choice for the weight function works very well. There are also other weight functions that provide good power.Conclusion We recommend the use of Tango's MEET to test global disease clustering, either with the original weight or one of the alternate weights that have good power.	en_US
dc.language.iso	en_US	en_US
dc.publisher	BioMed Central	en_US
dc.relation.isversionof	doi:10.1186/1476-072X-4-32	en_US
dc.relation.hasversion	http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1343587/pdf/	en_US
dash.license	LAA
dc.title	Tango's Maximized Excess Events Test with Different Weights	en_US
dc.type	Journal Article	en_US
dc.description.version	Version of Record	en_US
dc.relation.journal	International Journal of Health Geographics	en_US
dash.depositing.author	Kulldorff, Martin
dc.date.available	2012-02-20T01:38:16Z
dash.affiliation.other	HMS^Population Medicine	en_US