Description of the influence of age, period and cohort effects on cervical cancer mortality by loglinear Poisson models (Belgium, 1955-1994)

Background: Cervical cancer mortality in Belgium has been decreasing continuously over the last forty years. This might generate the impression that the trend has hardly been influenced by changing exposure to etiologic factors or by increasing attendance to screening conducted since twenty years. It is important to separate out the role of ageing, period of death and period of birth (cohort). Method: An age-period-cohort analysis, based on Poisson regression, was performed on cervical cancer mortality in Belgium between 1955 and 1994 in women between 20 and 79 years. The method of model build... Mehr ...

Verfasser: Arbyn, Marc
Van Oyen, Herman
Sartor, F.
Tibaldi, Fabian
Molenberghs, Geert
Dokumenttyp: Artikel
Erscheinungsdatum: 2002
Schlagwörter: Epidemiology / Categorical data / age-period-cohort models / trend analysis / poisson regression models / mortality / cervical cancer / Belgium
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26993810
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : http://hdl.handle.net/1942/405