Literature DB >> 7287289

A generalised scan statistic test for the detection of clusters.

M A Weinstock.   

Abstract

The scan statistic can be used for the testing of clusters of disease in time. However, it is not valid in situations in which there is some change in the population at risk or in the detection rate of the disorder. Furthermore, it cannot distinguish between a cluster due to the changing pattern of known risk factors for the disease and one due to other causes. A generalised scan statistic is proposed which overcomes these limitations. Its use is illustrated with previously published birth defects data.

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Year:  1981        PMID: 7287289     DOI: 10.1093/ije/10.3.289

Source DB:  PubMed          Journal:  Int J Epidemiol        ISSN: 0300-5771            Impact factor:   7.196


  14 in total

1.  Analyzing geographic patterns of disease incidence: rates of late-stage colorectal cancer in Iowa.

Authors:  Gerard Rushton; Ika Peleg; Aniruddha Banerjee; Geoffrey Smith; Michele West
Journal:  J Med Syst       Date:  2004-06       Impact factor: 4.460

2.  Investigation of occupational cancer clusters: theory and practice.

Authors:  P A Schulte; R L Ehrenberg; M Singal
Journal:  Am J Public Health       Date:  1987-01       Impact factor: 9.308

3.  Evaluating cluster alarms: a space-time scan statistic and brain cancer in Los Alamos, New Mexico.

Authors:  M Kulldorff; W F Athas; E J Feurer; B A Miller; C R Key
Journal:  Am J Public Health       Date:  1998-09       Impact factor: 9.308

4.  Identifying pediatric cancer clusters in Florida using loglinear models and generalized lasso penalties.

Authors:  Hao Wang; Abel Rodríguez
Journal:  Stat Public Policy (Phila)       Date:  2014

5.  Using scan statistics for congenital anomalies surveillance: the EUROCAT methodology.

Authors:  Conor Teljeur; Alan Kelly; Maria Loane; James Densem; Helen Dolk
Journal:  Eur J Epidemiol       Date:  2015-05-31       Impact factor: 8.082

6.  Epidemiology of necrotizing enterocolitis temporal clustering in two neonatology practices.

Authors:  Jareen Meinzen-Derr; Ardythe L Morrow; Richard W Hornung; Edward F Donovan; Kim N Dietrich; Paul A Succop
Journal:  J Pediatr       Date:  2008-12-25       Impact factor: 4.406

7.  Clustering of antimicrobial resistance outbreaks across bacterial species in the intensive care unit.

Authors:  Anne L M Vlek; Ben S Cooper; Theodore Kypraios; Andy Cox; Jonathan D Edgeworth; Olga Tosas Auguet
Journal:  Clin Infect Dis       Date:  2013-04-02       Impact factor: 9.079

Review 8.  The application of epidemiology in aquatic animal health -opportunities and challenges.

Authors:  Edmund J Peeler; Nicholas G H Taylor
Journal:  Vet Res       Date:  2011-08-11       Impact factor: 3.683

9.  Molecular subtyping to detect human listeriosis clusters.

Authors:  Brian D Sauders; Esther D Fortes; Dale L Morse; Nellie Dumas; Julia A Kiehlbauch; Ynte Schukken; Jonathan R Hibbs; Martin Wiedmann
Journal:  Emerg Infect Dis       Date:  2003-06       Impact factor: 6.883

10.  Using Ontario's "Telehealth" health telephone helpline as an early-warning system: a study protocol.

Authors:  Elizabeth Rolland; Kieran M Moore; Victoria A Robinson; Don McGuinness
Journal:  BMC Health Serv Res       Date:  2006-02-15       Impact factor: 2.655

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