Volume 12 - Article 10 | Pages 237–272
Mathematical Models for Human Cancer Incidence Rates
|Date received:||27 Aug 2003|
|Date published:||07 May 2005|
|Keywords:||aging, cancer, heterogeneity, incidence rate, model, models|
The overall cancer incidence rate declines at old ages. Possible causes of this decline include the effects of cross-sectional data which transform cohort dynamics into age pattern, population heterogeneity which selects out individuals susceptible to cancer, decline in some carcinogenic exposures in the old, effects of individual aging which slow down major physiological processes in an organism, etc.
We discuss several mathematical models contributing to the explanation of this phenomenon. We extend the Strehler and Mildvan model of aging and mortality and apply it to the analysis of data on cancer incidence at old ages. The model explains time trends and age patterns of cancer incidence rates. Applications to cancer incidence data provided by the International Agency for Research on Cancer illustrate the models.
Konstantin Arbeev - Duke University, United States of America
Svetlana Ukraintseva - Duke University, United States of America
Lyubov S. Arbeeva - Ulyanovsk State University, Russian Federation
Anatoli Yashin - Duke University, United States of America
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