Tango's Maximized Excess Events Test with Different Weights

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Tango's Maximized Excess Events Test with Different Weights

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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

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