Volume 12 - Article 10 | Pages 237-272

Mathematical Models for Human Cancer Incidence Rates

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

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Date received:27 Aug 2003
Date published:07 May 2005
Word count:5042
Keywords:age/aging, cancer, heterogeneity, incidence rate, model, models
DOI:10.4054/DemRes.2005.12.10
 

Abstract

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
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» 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

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