Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study-Reference-Cited by-同舟云学术

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Detecting cancer clusters in a regional population with local cluster tests and Bayesian smoothing methods: a simulation study

Published:2013 Issue:1 Volume:12 Page:54
ISSN:1476-072X
Container-title:International Journal of Health Geographics
language:en
Short-container-title:International Journal of Health Geographics

Author:

Lemke Dorothea,Mattauch Volkmar,Heidinger Oliver,Pebesma Edzer,Hense Hans-Werner

Publisher

Springer Science and Business Media LLC

Subject

Public Health, Environmental and Occupational Health,General Business, Management and Accounting,General Computer Science

Reference29 articles.

1. Cluster analysis and disease mapping--why, when, and how? A step by step guide

2. Cancer clusters in the USA: What do the last twenty years of state and federal investigations tell us?

3. Statistical power of disease cluster and clustering tests for rare diseases: A simulation study of point sources

4. Effect of spatial resolution on cluster detection: a simulation study

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3. Examining the impact of the number of regions used in cluster detection methods: An application to childhood asthma visits to a hospital in Manitoba, Canada;Geospatial Health;2018-11-09

4. A Comparative Study of Spatial Distribution of Gastrointestinal Cancers in Poverty and Affluent Strata (Kermanshah Metropolis, Iran);Journal of Gastrointestinal Cancer;2018-08-23

5. Sequential tests for monitoring methods to detect elevated incidence – a simulation study;BMC Cancer;2018-04-04

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