Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment

Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment

Editor(s): Lutz Edler, Christos P. Kitsos

Published Online: 17 MAR 2006

Print ISBN: 9780470857564

Online ISBN: 9780470857700

DOI: 10.1002/0470857706

Series Editor(s): Walter A. Shewhart, Samuel S. Wilks

About this Book

Human health risk assessment involves the measuring of risk of exposure to disease, with a view to improving disease prevention. Mathematical, biological, statistical, and computational methods play a key role in exposure assessment, hazard assessment and identification, and dose-response modelling.

Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment is a comprehensive text that accounts for the wealth of new biological data as well as new biological, toxicological, and medical approaches adopted in risk assessment. It provides an authoritative compendium of state-of-the-art methods proposed and used, featuring contributions from eminent authors with varied experience from academia, government, and industry.

  • Provides a comprehensive summary of currently available quantitative methods for risk assessment of both cancer and non-cancer problems.
  • Describes the applications and the limitations of current mathematical modelling and statistical analysis methods (classical and Bayesian).
  • Includes an extensive introduction and discussion to each chapter.
  • Features detailed studies of risk assessments using biologically-based modelling approaches.
  • Discusses the varying computational aspects of the methods proposed.
  • Provides a global perspective on human health risk assessment by featuring case studies from a wide range of countries.
  • Features an extensive bibliography with links to relevant background information within each chapter.

Recent Advances in Quantitative Methods in Cancer and Human Health Risk Assessment will appeal to researchers and practitioners in public health & epidemiology, and postgraduate students alike. It will also be of interest to professionals working in risk assessment agencies.

Table of contents

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  1. Part I: Cancer and Human Health Risk Assessment

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      Part Introduction (pages 1–4)

      Dr. Lutz Edler and Prof. Dr. Christos P. Kitsos

  2. Part II: Biological Aspects of Carcinogenesis

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      Part Introduction (pages 25–28)

      Dr. Lutz Edler and Prof. Dr. Christos P. Kitsos

    2. Chapter 2

      Molecular Epidemiology in Cancer Research (pages 29–41)

      Dr. Gerassimos Voutsinas, Anastasia Apostolidou and Dr. Natalia Spyrou

    3. Chapter 4

      Biological Carcinogenesis: Theories and Models (pages 63–77)

      Dr. Sylvia Solakidi, Prof. Dr. Constantinos E. Vorgias and Prof. Constantine E. Sekeris

  3. Part III: Modeling for Cancer Risk Assessment

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      Part Introduction (pages 111–113)

      Dr. Lutz Edler and Prof. Dr. Christos P. Kitsos

    2. Chapter 8

      Stochastic Carcinogenesis Models (pages 125–135)

      PD Dr. Annette Kopp-schneider, Dr. Iris Burkholder and Dipl. Math. Jutta Groos

    3. Chapter 10

      Modeling Lung Cancer Screening (pages 161–175)

      Prof. Dr. Marek Kimmel, Prof. Dr. Olga Y. Gorlova and Prof. Dr. Claudia I. Henschke

    4. Chapter 11

      Optimal Regimens of Cancer Screening (pages 177–191)

      Prof. Dr. Leonid G. Hanin and Prof. Dr. Lyudmila V. Pavlova

  4. Part IV: Statistical Approaches for Carcinogenesis Studies

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      Part Introduction (pages 193–196)

      Dr. Lutz Edler and Prof. Dr. Christos P. Kitsos

    2. Chapter 13

      Dose-Response Modeling (pages 211–237)

      Dr. Lutz Edler, PD Dr. Annette Kopp-schneider and Dr. Harald Heinzl

    3. Chapter 14

      Benchmark Dose Approach (pages 239–254)

      Dr. Fred Parham and Dr. Christopher Portier

  5. Part V: Specific Modeling Approaches for Health Risk Assessment

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      Part Introduction (pages 281–282)

      Dr. Lutz Edler and Prof. Dr. Christos P. Kitsos

    2. Chapter 19

      Estimating the Natural History of Breast Cancer from Bivariate Data on Age and Tumor Size at Diagnosis (pages 317–327)

      Prof. Dr. Alexander V. Zorin, Prof. Dr. Leonid G. Hanin, Prof. Dr. Andrej Y. Yakovlev and Dr. Lutz Edler

  6. Part VI: Case Studies

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      Part Introduction (pages 329–331)

      Dr. Lutz Edler and Prof. Dr. Christos P. Kitsos

    2. Chapter 20

      Statistical Issues in the Search for Biomarkers of Colorectal Cancer Using Microarray Experiments (pages 333–343)

      Prof. Dr. Byung-Soo Kim, Dr. Sunho Lee, Dr. Inyoung Kim, Dr. Sangcheol Kim, Dr. Sun Young Rha and Dr. Hyun Cheol Chung

    3. Chapter 21

      Optimal Experimental Designs for Prediction of Morbidity after Lung Resection (pages 345–353)

      Prof. Dr. Jesus F. López Fidalgo, Dr. Sandra A. Garcet Rodríguez and Gonzálo Varela

    4. Chapter 24

      Non-melanoma Skin and Lung Cancer Incidence in Relation to Arsenic Exposure: 20 Years of Observation (pages 383–394)

      Prof. Dr. Vladimír Bencko, Dr. Petr Franěk, Dr. Jiří Rameš, Dr. Elenóra Fabiánová and Dr. Miloslav Götzl

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