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Describing time and age variations in the risk of radiation‐induced solid tumour incidence in the Japanese atomic bomb survivors using generalized relative and absolute risk models
Author(s) -
Little M. P.,
Muirhead C. R.,
Charles M. W.
Publication year - 1999
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/(sici)1097-0258(19990115)18:1<17::aid-sim991>3.0.co;2-7
Subject(s) - relative risk , absolute risk reduction , medicine , incidence (geometry) , thyroid cancer , cancer , generalized additive model , demography , statistics , mathematics , confidence interval , geometry , sociology
Generalized relative and absolute risk models, in which various functions of time and age modify the excess relative or absolute risk of radiation‐induced cancer, are fitted to the Japanese atomic bomb survivor cancer incidence data set. Among generalized relative risk models, those in which a product of powers of time since exposure and attained age modify the relative risk provide the best fit. There are indications that the Armitage–Doll model (in its formulation as a generalized relative risk model) provides a poor fit to the data, possibly in part because of increasing age‐adjusted cancer incidence rates in the Japanese cohort. Generalized absolute risk models, and in particular models in which either powers of time since exposure and attained age, or powers of time since exposure and age at exposure modify the excess absolute risk, provide a superior fit to any of the generalized relative risk models for all solid cancer sites analysed together. When six cancer subtypes are examined separately, only for respiratory cancers does this finding remain true, and for two other sites (female breast cancer and thyroid cancer) the generalized relative risk model yields a better fit than the generalized absolute risk model. Copyright © 1999 National Radiological Protection Board.

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