Logo - springer
Slogan - springer

Statistics - Life Sciences, Medicine & Health | Cancer Mortality and Morbidity Patterns in the U.S. Population - An Interdisciplinary Approach

Cancer Mortality and Morbidity Patterns in the U.S. Population

An Interdisciplinary Approach

Manton, K.G., Akushevich, Igor, Kravchenko, Julia

2009

Available Formats:
eBook
Information

Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.

You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.

After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.

 
$99.00

(net) price for USA

ISBN 978-0-387-78193-8

digitally watermarked, no DRM

Included Format: PDF and EPUB

download immediately after purchase


learn more about Springer eBooks

add to marked items

Hardcover
Information

Hardcover version

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$129.00

(net) price for USA

ISBN 978-0-387-78192-1

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

Softcover
Information

Softcover (also known as softback) version.

You can pay for Springer Books with Visa, Mastercard, American Express or Paypal.

Standard shipping is free of charge for individual customers.

 
$129.00

(net) price for USA

ISBN 978-1-4419-2680-7

free shipping for individuals worldwide

usually dispatched within 3 to 5 business days


add to marked items

  • Uses new models and unique human population data
  • Relates/couples mechanisms at the cellular and population levels over time/age

This book is the first of its kind to describe interdisciplinary approaches to biomedical studies. It views analyses of biomedical data sets, such as cancer morbidity and mortality, from a different and richer than classic epidemiological perspective by using mathematical modeling methods, including ones providing insights into probable mechanisms of human carcinogenesis.

The book will be useful for many specialists, e.g., epidemiologists, oncologists, medical researchers, biologists, public health and environmental specialists, and specialists in mathematical modeling. Medical, biology and math undergraduates and postgraduates, as well as basic and applied researchers attempting to extend their studies in collaboration with other specialists in interdisciplinary teams, will find practical information here. Biomedical specialists could be interested in historical aspects of cancer treatment and prevention, mechanisms of carcinogenesis, cancer risk factors, cancer mortality and morbidity trends in the U.S. over a more than 50-year period, as well as specific features of cancer histotypes, and recent approaches to cancer prevention. Readers interested in analytic aspects can find information on existing and innovative approaches used in interdisciplinary studies such as stochastic process models, microsimulation of interventions, and empirical Bayes approaches.

This book was written by authors with different backgrounds who teamed in an interdisciplinary group. Kenneth G. Manton, Ph.D. (Demography) is Research Professor of Demographic Studies at Duke University (Durham, NC). He was Head of the W.H.O. Collaborating Center for Research and Training in the Methods of Assessing Risk and Forecasting Health Status Trends. He has authored more than 450 peer-reviewed publications, including several books.

Igor Akushevich, Ph.D. (Theoretical and Mathematical Physics), Center for Population Health and Aging at Duke University, authored more than 70 peer-reviewed publications.

Julia Kravchenko, MD, Ph.D. (Internal Diseases, Biochemistry), Duke Comprehensive Cancer Center in the School of Medicine. She is author of more than 30 peer-reviewed publications.

Content Level » Professional/practitioner

Keywords » Demographic Studies - Demography - Master Patient Index - Public Health - Radiologieinformationssystem - aging - cancer - cancer modeling - cancer morbidity and mortality - epidemiological - interdisciplinary approach - morbidity - prevention - risk factor - senescence

Related subjects » Bioinformatics - Cancer Research - Life Sciences, Medicine & Health - Population Studies - Public Health - Systems Biology and Bioinformatics

Table of contents 

Preface.- Introduction: Cancer contra human: cohabitation with casualties?- Cancer modeling: how far can we move?- 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 risks.- U.S. cancer morbidity: modeling age-patterns of cancer histotypes.- Risk factors intervention.- Cancer prevention.- Conclusion/outlook.- Appendices.

Popular Content within this publication 

 

Articles

Read this Book on Springerlink

Services for this book

New Book Alert

Get alerted on new Springer publications in the subject area of Statistics for Life Sciences, Medicine, Health Sciences.