Log on / register
Feedback | Support | My details
Small area mapping of prostate cancer incidence in New York State (USA) using fully Bayesian hierarchical modelling.
Johnson GD
Int J Health Geogr 2004 Dec 8, 3:29
[Full text] [PubMed] [Related articles] [Cited on BioMed Central]


printer friendly 
to  [Help]

BioMed Central articles that cite the above article:

1.
36%36%


Methodology
Joint disease mapping using six cancers in the Yorkshire region of England
Downing A, Forman D, Gilthorpe MS, Edwards KL, Manda SOM
International Journal of Health Geographics 2008, 7:41 (28 July 2008)
[Full text] [PubMed Central] [PubMed] [Related articles]

2.
36%36%


Methodology
How does Poisson kriging compare to the popular BYM model for mapping disease risks?
Goovaerts P, Gebreab S
International Journal of Health Geographics 2008, 7:6 (4 February 2008)
[Full text] [PubMed Central] [PubMed] [Related articles]

3.
36%36%


Methodology
Evaluating the effect of neighbourhood weight matrices on smoothing properties of Conditional Autoregressive (CAR) models
Earnest A, Morgan G, Mengersen K, Ryan L, Summerhayes R, Beard J
International Journal of Health Geographics 2007, 6:54 (29 November 2007)
[Full text] [PubMed Central] [PubMed] [Related articles] [Cited on BioMed Central]

4.
36%36%


Methodology
A comparative analysis of aspatial statistics for detecting racial disparities in cancer mortality rates
Goovaerts P, Meliker JR, Jacquez GM
International Journal of Health Geographics 2007, 6:32 (24 July 2007)
[Full text] [PubMed Central] [PubMed] [Related articles] [Cited on BioMed Central]

5.
36%36%


Research
Race-specific geography of prostate cancer incidence
DeChello LM, Gregorio DI, Samociuk H
International Journal of Health Geographics 2006, 5:59 (18 December 2006)
[Full text] [PubMed Central] [PubMed] [Related articles]

6.
36%36%


Research
On the use of ZIP codes and ZIP code tabulation areas (ZCTAs) for the spatial analysis of epidemiological data
Grubesic TH, Matisziw TC
International Journal of Health Geographics 2006, 5:58 (13 December 2006)
[Full text] [PubMed Central] [PubMed] [Related articles] [Cited on BioMed Central]

7.
36%36%


Methodology
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
International Journal of Health Geographics 2006, 5:52 (30 November 2006)
[Full text] [PubMed Central] [PubMed] [Related articles] [Cited on BioMed Central]

8.
36%36%


Methodology
Geostatistical analysis of disease data: visualization and propagation of spatial uncertainty in cancer mortality risk using Poisson kriging and p-field simulation
Goovaerts P
International Journal of Health Geographics 2006, 5:7 (9 February 2006)
[Full text] [PubMed Central] [PubMed] [Related articles] [Cited on BioMed Central]

9.
36%36%


Methodology
Geostatistical analysis of disease data: estimation of cancer mortality risk from empirical frequencies using Poisson kriging
Goovaerts P
International Journal of Health Geographics 2005, 4:31 (14 December 2005)
[Full text] [PubMed Central] [PubMed] [Related articles] [Cited on BioMed Central]

printer friendly 
to  [Help]

© 1999-2008 BioMed Central Ltd unless otherwise stated