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

• Main Authors: Manton, K.G., Akushevich, Igor, Kravchenko, Julia
• Format: Book
• Language: English
• Published: Springer 2017
• Subjects: Mathematics; Statistics; 614.59990973
• Online Access: http://repository.vnu.edu.vn/handle/VNU_123/28628
• Institution: Vietnam National University, Hanoi

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.