Format:
Online-Ressource (digital)
ISBN:
9780387781938
Series Statement:
Statistics for Biology and Health
Content:
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.
Content:
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.
Note:
Description based upon print version of record
,
CONTENTS; 1 Cancer Contra Human: Cohabitation with Casualties?; 1.1 Endless Assault: Prehistory and History of HumanCancer; 1.2 Global and U.S. Cancer Morbidity and MortalityTrends: Historic Perspectives; 1.3 Interdisciplinary Approach to PopulationHealth Studies; References; 2 Cancer Modeling: How Far Can We Go?; 2.1 Cellular Aspects of Carcinogenesis; 2.2 Theories of Carcinogenesis; 2.3 An Overview of Formal Quantitative Models ofCarcinogenesis; 2.4 Modeling for Populations with Heterogeneous MutationalEvents and Tumor Growth Rates; 2.5 Summary; References; 3 Cancer Risk Factors
,
3.1 Overview of Cancer Risk Factors3.2 Environmental Cancer Risk Factors; 3.3 Summary; References; 4 Standard and Innovative Statistical Methods for EmpiricallyAnalyzing Cancer Morbidity and Mortality; 4.1 Survival Analysis and Life Table Models; 4.2 Multiple Disease Stochastic Compartment Models forComplex Cancer Population Mortality Curves: A Two-DiseaseAnalysis of U.S. Female Breast Cancer; 4.3 Stochastic Process Models of Cancer Risk: Latent andObserved State Variables Dependence; 4.4 Evaluation of Characteristics of Individual andGrouped Data; 4.5 Generalized Frailty Model; 4.6 Summary
,
References5 Stochastic Methods of Analysis; 5.1 Introduction; 5.2 Stochastic Process Models; 5.3 Microsimulation and Interventions; 5.4 Grade of Membership and Other Latent-State AnalysisMethods; 5.5 A Geo-epidemiological/Mapping Study of the U.S. CancerMortality Rates and Trends Based on an Empirical BayesApproach; 5.6 Summary; References; 6 U.S. Cancer Morbidity and Mortality Trends; 6.1 Introduction: Cancer Mortality and MorbidityRegistration; 6.2 U.S. Cancer Mortality; 6.3 U.S. Cancer Incidence; 6.4 Morbidity and Mortality of Specific Cancer Sites; 6.5 Summary; References
,
7 U.S. Cancer Morbidity: Modeling Age-Patternsof Cancer Histotypes7.1 Introduction; 7.2 Analyses of Trends of Cancer Histotypes in theU.S. Population; 7.3 Analyses of Selected Cancer Histotypes for theTwo-Disease Model; 7.4 Squamous Cell Carcinomas and Adenocarcinomas:The Time Trends; 7.5 Summary; References; 8 Risk Factors Intervention; 8.1 Environmental Risk Factor Contribution to Cancer andNoncancer Diseases; 8.2 Atherosclerosis and Cancer: Anything in Common?; 8.3 Making Projections of Cardiovascular Disease Risk; 8.4 Discussion and Comparison of the Results of the TwoIntervention Studies
,
8.5 SummaryReferences; 9 Cancer Prevention; 9.1 Brief Overview of Prevention History, Strategies,Conquests, and Uncertainty; 9.2 Smoking; 9.3 Diet; 9.4 Obesity; 9.5 Physical Activity; 9.6 Alcohol; 9.7 Nonsteroidal Antiinflammatory Drugs; 9.8 Statistical and Modeling Approaches for Prognoses; 9.9 The Present and Future of Microsimulation Models inTasks of Cancer Prevention; 9.10 Summary; References; Conclusion and Outlook; Keywords; Abbreviations; Glossary; Index;
Additional Edition:
ISBN 9780387781921
Additional Edition:
Buchausg. u.d.T. ISBN 978-0-387-78192-1
Language:
English
DOI:
10.1007/978-0-387-78193-8
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
Author information:
Krickeberg, Klaus 1929-
Bookmarklink
