Validation tests of an improved kernel density estimation method for identifying disease clusters
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DOI: 10.1007/s10109-010-0146-0
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References listed on IDEAS
- Pierre Goovaerts & Geoffrey M. Jacquez, 2005. "Detection of temporal changes in the spatial distribution of cancer rates using local Moran’s I and geostatistically simulated spatial neutral models," Journal of Geographical Systems, Springer, vol. 7(1), pages 137-159, October.
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Cited by:
- Adriano Z. Zambom & Ronaldo Dias, 2013. "A Review of Kernel Density Estimation with Applications to Econometrics," International Econometric Review (IER), Econometric Research Association, vol. 5(1), pages 20-42, April.
- Xun Shi & Stephanie Miller & Kevin Mwenda & Akikazu Onda & Judy Rees & Tracy Onega & Jiang Gui & Margaret Karagas & Eugene Demidenko & John Moeschler, 2013. "Mapping Disease at an Approximated Individual Level Using Aggregate Data: A Case Study of Mapping New Hampshire Birth Defects," IJERPH, MDPI, vol. 10(9), pages 1-14, September.
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More about this item
Keywords
GIS; Kernel density estimation; Spatial filter; Disease rate; Disease clusters; C13; C14; C15;All these keywords.
JEL classification:
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
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