Accounting for regional background and population size in the detection of spatial clusters and outliers using geostatistical filtering and spatial neutral models: the case of lung cancer in Long Island, New York
<p>Abstract</p> <p>Background</p> <p>Complete Spatial Randomness (CSR) is the null hypothesis employed by many statistical tests for spatial pattern, such as local cluster or boundary analysis. CSR is however not a relevant null hypothesis for highly complex and organiz...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2004-07-01
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| Series: | International Journal of Health Geographics |
| Online Access: | http://www.ij-healthgeographics.com/content/3/1/14 |