Calculating age-adjusted cancer survival estimates when age-specific data are sparse: An empirical evaluation of various methods
British Journal of Cancer
Department of Epidemiology, German Centre for Research on Ageing, Bergheimer Str. 20, Heidelberg 69115, Germany; Unit of Descriptive Epidemiology, International Agency for Research on Cancer, Lyon, France; Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Clinical Medicine, University of Oxford, Oxford, United Kingdom; Zimbabwe National Cancer Registry, Harare, Zimbabwe
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. © 2006 Cancer Research UK.
adolescent; adult; aged; article; cancer survival; child; data analysis; human; infant; mathematical analysis; priority journal; reliability; survival; Adolescent; Adult; Age Factors; Aged; Aged, 80 and over; Child; Child, Preschool; Data Interpretation, Statistical; Humans; Infant; Infant, Newborn; Middle Aged; Neoplasms; Research Design