Volume 12 - Article 10 | Pages 237–272

Mathematical Models for Human Cancer Incidence Rates

By Konstantin Arbeev, Svetlana Ukraintseva, Lyubov S. Arbeeva, Anatoli Yashin

Print this page  Facebook  Twitter


Date received:27 Aug 2003
Date published:07 May 2005
Word count:5042
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.

Author's Affiliation

Konstantin Arbeev - Duke University, United States of America [Email]
Svetlana Ukraintseva - Duke University, United States of America [Email]
Lyubov S. Arbeeva - Ulyanovsk State University, Russian Federation [Email]
Anatoli Yashin - Duke University, United States of America [Email]

Other articles by the same author/authors in Demographic Research

» Two proofs of a recent formula by Griffith Feeney
Volume 14 - Article 3

» Decline in Human Cancer Incidence Rates at Old Ages: Age-Period-Cohort Considerations
Volume 12 - Article 11

» Individual Aging and Cancer Risk: How are They Related?
Volume 9 - Article 8

Most recent similar articles in Demographic Research

» Individual Aging and Cancer Risk: How are They Related?
Volume 9 - Article 8    | Keywords: aging, cancer

» Healthy longevity from incidence-based models: More kinds of health than stars in the sky
Volume 45 - Article 13    | Keywords: cancer

» Age and COVID-19 mortality: A comparison of Gompertz doubling time across countries and causes of death
Volume 44 - Article 16    | Keywords: aging

» Population aging caused by a rise in the sex ratio at birth
Volume 43 - Article 32    | Keywords: models

» Attitudes and preferences towards future old-age support amongst tomorrow’s elders in China
Volume 43 - Article 11    | Keywords: aging