Cargando…
Geographical clustering of prostate cancer grade and stage at diagnosis, before and after adjustment for risk factors
BACKGROUND: Spatial variation in patterns of disease outcomes is often explored with techniques such as cluster detection analysis. In other types of investigations, geographically varying individual or community level characteristics are often used as independent predictors in statistical models wh...
Autores principales: | Klassen, Ann Carroll, Kulldorff, Martin, Curriero, Frank |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2005
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC546220/ https://www.ncbi.nlm.nih.gov/pubmed/15649329 http://dx.doi.org/10.1186/1476-072X-4-1 |
Ejemplares similares
-
Using Imputation to Provide Location Information for Nongeocoded Addresses
por: Curriero, Frank C., et al.
Publicado: (2010) -
The geographic distribution of breast cancer incidence in Massachusetts 1988 to 1997, adjusted for covariates
por: Joseph Sheehan, T, et al.
Publicado: (2004) -
Evaluation of the performance of tests for spatial randomness on prostate cancer data
por: Hinrichsen, Virginia L, et al.
Publicado: (2009) -
Stress and self-efficacy predict psychological adjustment at diagnosis of prostate cancer
por: Curtis, Ruth, et al.
Publicado: (2014) -
Quantifying Geographic Variation in Health Care Outcomes in the United States before and after Risk-Adjustment
por: Rosenberg, Barry L., et al.
Publicado: (2016)