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Recent advances in quantitative methods in cancer and human health risk assessment / edited by Lutz Edler, Christos P. Kitsos.

Contributor(s): Edler, Lutz, 1945- [(ed.)] | Kitsos, Christos Par, 1951- [(j.ed.)].
Series: Wiley series in probability and statistics. Publisher: Chichester, England : J. Wiley, c2005Description: xxviii, 463 p. : ill. ; 24 cm.ISBN: 0470857560 (hbk.).Subject(s): Cancer -- Risk factors -- Mathematical modelsDDC classification: 616.994071
Contents:
Contributors. - Preface. - Introduction. - I: Cancer and human health risk assessment. - 1. Principles of cancer risk assessment: The risk assessment paradigm. - II: Biological aspects of Carcinogenesis. - 2. Molecular epidemiology in cancer research. - 3. Genetic polymorphisms in metabolising enzymes as lung cancer risk factors. - 4. Biological and mathematical aspects of multistage carcinogenesis . - 6. Risk assessment and chemical and radiation hormesis: A short commentary and bibliographic review. - III: Modeling for cancer risk assessment. - 7. Modeling exposure and target organ concentrations. - 8. Stochastic carcinogenesis models. - 9. A unified modeling approach: From exposure to disease endpoints. - 10. Modeling lung cancer screening. - 11. Optimal regimens of cancer screening. - IV: Statistical approaches for carcinogenesis studies. - 12. Analysis of survival data with non-proportional hazards and crossings of survival functions. - 13. Dose response modeling. - 14. Benchmark dose approach. - 15. Uncertainty analysis: the Bayesian approach. - 16. Optimal designs for bioassays in carcinogenesis. - V: Specific modeling approaches for health risk assessment. - 17. Cancer risk assessment for mixtures. - 18. Designs and models for mixtures: Assessing cumulative risk. - 19. Estimating the natural history of breast cancer from bivariate data on age and tumor size at diagnosis. - VI: Case studies. - 20. Statistical issues in search for biomarkers of colorectal cancer using microarray experiments. - 21. Optimal experimental designs for prediction of morbidity after lung resection. - 22. Logistic regression methods and their implementation. - 23. The use of logistic regression, discriminant analysis and classification trees to predict holding on remission in childhood leukemia. - 24. Non-melanoma skin and lung cancer incidence in relation to arsenic exposure: 20 years of observation. - 25. Thyroid cancer incidence rates in Zaragoza. - References. - Index.
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616.994071 REC (Browse shelf) 1 Available SBSxx,36200,03,GR 5000070161 Please fill up online form at https://taylorslibrary.taylors.edu.my/services/external_storage1

Contributors. - Preface. - Introduction. - I: Cancer and human health risk assessment. - 1. Principles of cancer risk assessment: The risk assessment paradigm. - II: Biological aspects of Carcinogenesis. - 2. Molecular epidemiology in cancer research. - 3. Genetic polymorphisms in metabolising enzymes as lung cancer risk factors. - 4. Biological and mathematical aspects of multistage carcinogenesis . - 6. Risk assessment and chemical and radiation hormesis: A short commentary and bibliographic review. - III: Modeling for cancer risk assessment. - 7. Modeling exposure and target organ concentrations. - 8. Stochastic carcinogenesis models. - 9. A unified modeling approach: From exposure to disease endpoints. - 10. Modeling lung cancer screening. - 11. Optimal regimens of cancer screening. - IV: Statistical approaches for carcinogenesis studies. - 12. Analysis of survival data with non-proportional hazards and crossings of survival functions. - 13. Dose response modeling. - 14. Benchmark dose approach. - 15. Uncertainty analysis: the Bayesian approach. - 16. Optimal designs for bioassays in carcinogenesis. - V: Specific modeling approaches for health risk assessment. - 17. Cancer risk assessment for mixtures. - 18. Designs and models for mixtures: Assessing cumulative risk. - 19. Estimating the natural history of breast cancer from bivariate data on age and tumor size at diagnosis. - VI: Case studies. - 20. Statistical issues in search for biomarkers of colorectal cancer using microarray experiments. - 21. Optimal experimental designs for prediction of morbidity after lung resection. - 22. Logistic regression methods and their implementation. - 23. The use of logistic regression, discriminant analysis and classification trees to predict holding on remission in childhood leukemia. - 24. Non-melanoma skin and lung cancer incidence in relation to arsenic exposure: 20 years of observation. - 25. Thyroid cancer incidence rates in Zaragoza. - References. - Index.