title: Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods.
abstract: We evaluated empirically the performance of various methods of calculating age-adjusted survival estimates when age-specific data are sparse. We have illustrated that a recently proposed alternative method of age adjustment involving the use of balanced age groups or age truncation may be useful for enhancing calculability and reliability of adjusted survival estimates.
authors.affiliation: Department of Epidemiology, German Centre for Research on Ageing, Bergheimer Str. 20, Heidelberg 69115, Germany.
authors.forename: A
authors.initials: A
authors.lastname: Gondos
authors.forename: D M
authors.initials: DM
authors.lastname: Parkin
authors.forename: E
authors.initials: E
authors.lastname: Chokunonga
authors.forename: H
authors.initials: H
authors.lastname: Brenner
mesh_terms: D000293:Adolescent; D000328:Adult; D000367:Age Factors; D000368:Aged; D000369:Aged, 80 and over; D002648:Child; D002675:Child, Preschool; D003627:Data Interpretation, Statistical; D006801:Humans; D007223:Infant; D007231:Infant, Newborn; D008875:Middle Aged; D009369:Neoplasms / Q000401:mortality*; D012107:Research Design