Cancer Mortality and Morbidity Patterns in the U.S. Population: An Interdisciplinary Approach [Paperback]

The purpose of this book is to examine the etiology of cancer in large human populations using mathematical models developed from an inter-disciplinary perspective of the population epidemiological, biodemographic, genetic and physiological basis of the mechanisms of cancer initiation and progression. In addition an investigation of how the basic mechanism of tumor initiation relates to general processes of senescence and to other major chronic diseases (e.g., heart disease and stroke) will be conducted.

Cancer Contra Human: Cohabitation with Casualties?.- Cancer Modeling: How Far Can We Go?.- Cancer Risk Factors.- Standard and Innovative Statistical Methods for Empirically Analyzing Cancer Morbidity and Mortality.- Stochastic Methods of Analysis.- U.S. Cancer Morbidity and Mortality Trends.- U.S. Cancer Morbidity: Modeling Age-Patterns of Cancer Histotypes.- Risk Factors Intervention.- Cancer Prevention.

The description and modeling of cancer mortality and morbidity deserve this important book. Several facets of the epidemiology of cancer are explored and documented. After a general assessment of the presence of cancer in the U.S. population &the heart of the book focuses on the methods for analyzing cancer, notably in age, time, race, and space. &There is a useful glossary of medical and statistical terms. &This book is essential not only to modelers of cancer mortality and morbidity, but it also serves as a good entry to anyone interested in classical tools of demographic epidemiology. (Mathematical Population Studies, 17:65-66, 2010)

The title is no lie: this is an interdisciplinary book from cover to cover. Its aim is to provide a broad education to a wide-ranging audience&on some of the tools used in cancer studies and some of those studies results. The authors have different areas of expertise and have worked to make sure that the book continually reflects all relevant disciplines. There are chapters that are lS]