Power to Detect Spatial Disturbances under Different Levels of Geographic Aggregation | Zendy

Caroline Jeffery | Zendy; Al Ozonoff | Zendy; Laura F. White | Zendy; Miriam Nuño | Zendy; Michele Pagano | Zendy

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Power to Detect Spatial Disturbances under Different Levels of Geographic Aggregation

Author(s) -

Caroline Jeffery,

Al Ozonoff,

Laura F. White,

Miriam Nuño,

Michele Pagano

Publication year - 2009

Publication title -

journal of the american medical informatics association

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.614

H-Index - 150

eISSN - 1527-974X

pISSN - 1067-5027

DOI - 10.1197/jamia.m2788

Subject(s) - statistic , scan statistic , population , statistics , spatial distribution , computer science , spatial ecology , spatial variability , spatial analysis , statistical power , power (physics) , cartography , geography , data mining , mathematics , medicine , environmental health , ecology , physics , quantum mechanics , biology

Spatio and/or temporal surveillance systems are designed to monitor the ongoing appearance of disease cases in space and time, and to detect potential disturbances in either dimension. Patient addresses are sometimes reported at some level of geographic aggregation, for example by ZIP code or census tract. While this aggregation has the advantage of protecting patient privacy, it also risks compromising statistical efficiency. This paper investigated the variation in power to detect a change in the spatial distribution in the presence of spatial aggregation.

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