Document Detail


Use of the scan statistic to detect time-space clustering.
MedLine Citation:
PMID:  2816892     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
A test for time-space clustering is proposed based on the scan statistic, the maximum number of events in a 365-day period in each of several geographic units. The data under consideration should consist of the exact date and geographic unit for each event, and data should be available for several years for which the risk of disease can be assumed constant. The statistic is the ratio of the excess number of events summed over all the geographic regions, to the square root of the sum of the variances. This statistic is similar in construction to the Ederer-Myers-Mantel statistic (Biometrics 1964;20:626-38), but does not require that attention be limited to calendar years (January 1-December 31). Unlike other tests for time-space clustering, the scan statistic allows one to calculate measures of attributable risk and effect size. Data concerning adolescent suicide are used to illustrate the procedure. The tables and asymptotic formulas given for the mean and variance of the proposed statistic should be useful in the evaluation of both clustering in time and in time-space.
Authors:
S Wallenstein; M S Gould; M Kleinman
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  American journal of epidemiology     Volume:  130     ISSN:  0002-9262     ISO Abbreviation:  Am. J. Epidemiol.     Publication Date:  1989 Nov 
Date Detail:
Created Date:  1989-12-06     Completed Date:  1989-12-06     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  7910653     Medline TA:  Am J Epidemiol     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  1057-64     Citation Subset:  IM    
Affiliation:
School of Public Health, Columbia University, New York, NY.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Adolescent
Epidemiologic Methods
Humans
Mathematics
Space-Time Clustering*
Statistics as Topic / methods*
Suicide / statistics & numerical data
Time Factors
United States
Grant Support
ID/Acronym/Agency:
200-85-0834(P)//PHS HHS; HD-18677/HD/NICHD NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  The reproducibility of dietary intake data assessed with the cross-check dietary history method.
Next Document:  The risks of cancers of the colon and rectum in relation to coffee consumption.