Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping

Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping

<p>Abstract</p> <p>Background</p> <p>Disease maps of crude rates from routinely collected health data indexed at a small geographical resolution pose specific statistical problems due to the sparse nature of the data. Spatial smoothers allow areas to borrow strength fro...

Full description

Bibliographic Details
Main Authors: Pilcher Christopher D, Gesink Dionne C, Serre Marc L, Hampton Kristen H, Miller William C
Format: Article
Language:English
Published: BMC 2011-10-01
Series:International Journal of Health Geographics
Subjects:
disease mapping
sampling variability
spatial distribution
spatial analysis
epidemiological methods
Online Access:http://www.ij-healthgeographics.com/content/10/1/54

Internet

http://www.ij-healthgeographics.com/content/10/1/54

Similar Items