title: Age- and sex-specific spatio-temporal patterns of colorectal cancer mortality in Spain (1975-2008).
abstract: In this paper, space-time patterns of colorectal cancer (CRC) mortality risks are studied by sex and age group (50-69, ≥70) in Spanish provinces during the period 1975-2008. Space-time conditional autoregressive models are used to perform the statistical analyses. A pronounced increase in mortality risk has been observed in males for both age-groups. For males between 50 and 69 years of age, trends seem to stabilize from 2001 onward. In females, trends reflect a more stable pattern during the period in both age groups. However, for the 50-69 years group, risks take an upward trend in the period 2006-2008 after the slight decline observed in the second half of the period. This study offers interesting information regarding CRC mortality distribution among different Spanish provinces that could be used to improve prevention policies and resource allocation in different regions.
authors.affiliation: Department of Statistics and O. R., Public University of Navarre, Campus de Arrosadia, Pamplona, Navarre, Spain.|Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Madrid, Spain.
authors.forename: Jaione
authors.initials: J
authors.lastname: Etxeberria
authors.affiliation: Department of Statistics and O. R., Public University of Navarre, Campus de Arrosadia, Pamplona, Navarre, Spain.
authors.forename: María Dolores
authors.initials: MD
authors.lastname: Ugarte
authors.affiliation: Department of Statistics and O. R., Public University of Navarre, Campus de Arrosadia, Pamplona, Navarre, Spain.|Research Network on Health Services in Chronic Diseases (REDISSEC), Pamplona, Spain.
authors.forename: Tomás
authors.initials: T
authors.lastname: Goicoa
authors.affiliation: Department of Statistics and O. R., Public University of Navarre, Campus de Arrosadia, Pamplona, Navarre, Spain.
authors.forename: Ana F
authors.initials: AF
authors.lastname: Militino
keywords: Colorectal cancer mortality; Disease mapping; Space-time CAR models