title: [Sample size for estimating attributable risk in cross-sectional studies].
abstract: The prevalence of a variety of risk factors and their strength of association with a disease can vary greatly among apparently similar communities. In small communities, risk estimates can also vary from year to year. An identification of important risk factors in each community is then needed, so that interventions can be specifically oriented towards the needs of each specific community. The attributable risk is the adequate measure of association for these purposes. The purpose of this paper is to determine the minimum sample size required to detect a given attributable risk in cross-sectional studies. A table was constructed, presenting the number of exposed subjects necessary to detect a given attributable risk for different combinations of prevalence of disease and prevalence of exposure to a given risk factor, with a power of 0.80 and alpha of 0.05.
authors.affiliation: Unidad de Epidemiología Clínica, Facultad de Medicina, Universidad de La Frontera, Temuco, Chile.
authors.forename: J E
authors.initials: JE
authors.lastname: Klevens
authors.forename: S R
authors.initials: SR
authors.lastname: Muñoz
mesh_terms: D003430:Cross-Sectional Studies; D006801:Humans; D015233:Models, Statistical; D015995:Prevalence; D012307:Risk Factors; D018401:Sample Size
vernacular_title: Tamaño de muestra para estimar riesgo atribuible en estudios transversales.