title: Analysing the difference due to risk and demographic factors for incidence or mortality.
abstract: From an epidemiological and public health perspective there is an interest in quantifying differences in incidence and mortality between either time points, geographical areas or males and females. We propose a method for splitting such a difference in the number of cases/deaths into three components: (1) those due to risk; (2) those due to population structure (i.e. age distribution); and (3) those due to population size. We also propose graphical methods for presenting the results. Three examples are used to illustrate our methodology.
authors.affiliation: Service de Biostatistique, Batiment 1M, Centre Hospitalier Lyon Sud, 165 Chemin du Grand Revoyet, 69495 Pierre-Benite, France.
authors.forename: S
authors.initials: S
authors.lastname: Bashir
authors.forename: J
authors.initials: J
authors.lastname: Estève
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D003710:Demography; D005060:Europe / Q000453:epidemiology; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D007231:Infant, Newborn; D008175:Lung Neoplasms / Q000453:epidemiology* / Q000401:mortality*; D008297:Male; D008875:Middle Aged; D012042:Registries; D012307:Risk Factors; D017678:Sex Distribution