436 related articles for article (PubMed ID: 17137504)
1. Geostatistical analysis of disease data: accounting for spatial support and population density in the isopleth mapping of cancer mortality risk using area-to-point Poisson kriging.
Goovaerts P
Int J Health Geogr; 2006 Nov; 5():52. PubMed ID: 17137504
[TBL] [Abstract][Full Text] [Related]
2. How does Poisson kriging compare to the popular BYM model for mapping disease risks?
Goovaerts P; Gebreab S
Int J Health Geogr; 2008 Feb; 7():6. PubMed ID: 18248676
[TBL] [Abstract][Full Text] [Related]
3. Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation.
Goovaerts P
Int J Health Geogr; 2006 Feb; 5():7. PubMed ID: 16469095
[TBL] [Abstract][Full Text] [Related]
4. Kriging and Semivariogram Deconvolution in the Presence of Irregular Geographical Units.
Goovaerts P
Math Geol; 2008; 40(1):101-128. PubMed ID: 18725997
[TBL] [Abstract][Full Text] [Related]
5. Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson kriging.
Goovaerts P
Int J Health Geogr; 2005 Dec; 4():31. PubMed ID: 16354294
[TBL] [Abstract][Full Text] [Related]
6. Application of Poisson kriging to the mapping of cholera and dysentery incidence in an endemic area of Bangladesh.
Ali M; Goovaerts P; Nazia N; Haq MZ; Yunus M; Emch M
Int J Health Geogr; 2006 Oct; 5():45. PubMed ID: 17038192
[TBL] [Abstract][Full Text] [Related]
7. Combining Areal and Point Data in Geostatistical Interpolation: Applications to Soil Science and Medical Geography.
Goovaerts P
Math Geosci; 2010 Jul; 42(5):535-554. PubMed ID: 21132098
[TBL] [Abstract][Full Text] [Related]
8. Medical Geography: a Promising Field of Application for Geostatistics.
Goovaerts P
Math Geol; 2009; 41():243-264. PubMed ID: 19412347
[TBL] [Abstract][Full Text] [Related]
9. Area-to-Area Poisson Kriging analysis of mapping of county- level esophageal cancer incidence rates in Iran.
Asmarian NS; Ruzitalab A; Amir K; Masoud S; Mahaki B
Asian Pac J Cancer Prev; 2013; 14(1):11-3. PubMed ID: 23534706
[TBL] [Abstract][Full Text] [Related]
10. Accounting for rate instability and spatial patterns in the boundary analysis of cancer mortality maps.
Goovaerts P
Environ Ecol Stat; 2008 Dec; 15(4):421-446. PubMed ID: 19023455
[TBL] [Abstract][Full Text] [Related]
11. The "Kriging" model of spatial genetic structure in human population genetics.
Xue FZ; Wang JZ; Hu P; Li GR
Yi Chuan Xue Bao; 2005 Mar; 32(3):219-33. PubMed ID: 15931782
[TBL] [Abstract][Full Text] [Related]
12. Exploring scale-dependent correlations between cancer mortality rates using factorial kriging and population-weighted semivariograms.
Goovaerts P; Jacquez GM; Greiling D
Geogr Anal; 2005 Apr; 37(2):152-182. PubMed ID: 16915345
[TBL] [Abstract][Full Text] [Related]
13. A coherent geostatistical approach for combining choropleth map and field data in the spatial interpolation of soil properties.
Goovaerts P
Eur J Soil Sci; 2011 Jun; 62(3):371-380. PubMed ID: 22308075
[TBL] [Abstract][Full Text] [Related]
14. Geostatistical Analysis of County-Level Lung Cancer Mortality Rates in the Southeastern United States.
Goovaerts P
Geogr Anal; 2010 Jan; 42(1):32-52. PubMed ID: 20445829
[TBL] [Abstract][Full Text] [Related]
15. A pseudo-penalized quasi-likelihood approach to the spatial misalignment problem with non-normal data.
Lopiano KK; Young LJ; Gotway CA
Biometrics; 2014 Sep; 70(3):648-60. PubMed ID: 24749487
[TBL] [Abstract][Full Text] [Related]
16. Exploratory disease mapping: kriging the spatial risk function from regional count data.
Berke O
Int J Health Geogr; 2004 Aug; 3(1):18. PubMed ID: 15333131
[TBL] [Abstract][Full Text] [Related]
17. 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.
Goovaerts P; Jacquez GM
Int J Health Geogr; 2004 Jul; 3(1):14. PubMed ID: 15272930
[TBL] [Abstract][Full Text] [Related]
18. Adjusting for sampling variability in sparse data: geostatistical approaches to disease mapping.
Hampton KH; Serre ML; Gesink DC; Pilcher CD; Miller WC
Int J Health Geogr; 2011 Oct; 10():54. PubMed ID: 21978359
[TBL] [Abstract][Full Text] [Related]
19. Comparison of Soft Indicator and Poisson Kriging for the Noise-Filtering and Downscaling of Areal Data: Application to Daily COVID-19 Incidence Rates.
Goovaerts P; Hermans T; Goossens PF; Van De Vijver E
ISPRS Int J Geoinf; 2023 Aug; 12(8):. PubMed ID: 38846757
[TBL] [Abstract][Full Text] [Related]
20. Investigating the spatial risk distribution of West Nile virus disease in birds and humans in southern Ontario from 2002 to 2005.
Beroll H; Berke O; Wilson J; Barker IK
Popul Health Metr; 2007 May; 5():3. PubMed ID: 17472753
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
