Gondos A., Parkin D.M., Chokunonga E., Brenner H.
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
Gondos, A., Department of Epidemiology, German Centre for Research on Ageing, Bergheimer Str. 20, Heidelberg 69115, Germany; Parkin, D.M., 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; Chokunonga, E., Zimbabwe National Cancer Registry, Harare, Zimbabwe; Brenner, H., Department of Epidemiology, German Centre for Research on Ageing, Bergheimer Str. 20, Heidelberg 69115, Germany
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