Document Detail

Spatial cluster detection for weighted outcomes using cumulative geographic residuals.
MedLine Citation:
PMID:  19751250     Owner:  NLM     Status:  MEDLINE    
Spatial cluster detection is an important methodology for identifying regions with excessive numbers of adverse health events without making strong model assumptions on the underlying spatial dependence structure. Previous work has focused on point or individual-level outcome data and few advances have been made when the outcome data are reported at an aggregated level, for example, at the county- or census-tract level. This article proposes a new class of spatial cluster detection methods for point or aggregate data, comprising of continuous, binary, and count data. Compared with the existing spatial cluster detection methods it has the following advantages. First, it readily incorporates region-specific weights, for example, based on a region's population or a region's outcome variance, which is the key for aggregate data. Second, the established general framework allows for area-level and individual-level covariate adjustment. A simulation study is conducted to evaluate the performance of the method. The proposed method is then applied to assess spatial clustering of high Body Mass Index in a health maintenance organization population in the Seattle, Washington, USA area.
Andrea J Cook; Yi Li; David Arterburn; Ram C Tiwari
Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural    
Journal Detail:
Title:  Biometrics     Volume:  66     ISSN:  1541-0420     ISO Abbreviation:  Biometrics     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-09-20     Completed Date:  2011-01-05     Revised Date:  2014-09-12    
Medline Journal Info:
Nlm Unique ID:  0370625     Medline TA:  Biometrics     Country:  United States    
Other Details:
Languages:  eng     Pagination:  783-92     Citation Subset:  IM    
Copyright Information:
© 2009, The International Biometric Society.
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MeSH Terms
Body Mass Index
Cluster Analysis*
Outcome Assessment (Health Care)*
Treatment Outcome
Grant Support
5P20RR020774/RR/NCRR NIH HHS; R01 CA095747/CA/NCI NIH HHS; R01 CA095747-07/CA/NCI NIH HHS; R01 CA95747/CA/NCI NIH HHS

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