[How to choose in practice a model to describe the geographic variation of cancer incidence? Example of gastrointestinal cancers from Côte-d'Or].
Fiche publication
Date publication
octobre 2002
Journal
Revue d'epidemiologie et de sante publique
Auteurs
Membres identifiés du Cancéropôle Est :
Dr BOUVIER Anne-Marie
Tous les auteurs :
David S, Remontet L, Bouvier AM, Faivre J, Colonna M, Estève J
Lien Pubmed
Résumé
In epidemiology, standardized Incidence Ratio (SIR) can have large variance and it is then difficult to distinguish random fluctuations from real spatial variations when describing spatial variations in the rate of cancer. In this context, hierarchical model produce smoothed relative risks estimations helpful for solving this problem. The main advantage of these methods is to combine information of each geographical area with that obtained from prior assumption on the similarity between geographical sub-units. Nevertheless different assumptions produce different geographical maps of incidence of cancer, and the purpose of the present study was the development of a strategy to choose the most satisfactory description of the incidence of digestive cancer in a French department.
Mots clés
Algorithms, Bias (Epidemiology), Decision Trees, Environmental Exposure, adverse effects, France, epidemiology, Gastrointestinal Neoplasms, epidemiology, Geography, Humans, Incidence, Maps as Topic, Models, Statistical, Poisson Distribution, Population Surveillance, methods, Registries, Regression Analysis, Residence Characteristics, Risk, Risk Factors, Space-Time Clustering
Référence
Rev Epidemiol Sante Publique. 2002 Oct;50(5):413-25