This volume comprises the investigation of factors that may predict the response to treatment, outcome, and survival by exploring:    • design considerations in molecular epidemiology, including:    case-only  family-based  approaches for evaluation of genetic susceptibility to exposure and addiction pharmacogenetics  incorporation of biomarkers in clinical trials  • measurement issues in molecular epidemiology, including    DNA biosampling methods  principles for high-quality genotyping  haplotypes  biomarkers of exposure and effect  exposure assessment  • methods of statistical inference used in molecular epidemiology, including    gene-gene and gene-environment interaction analysis  novel high-dimensional analysis approaches  pathway-based analysis methods  haplotype methods, dealing with race and ethnicity  risk models  a discussion of reporting and interpreting results  • A specific discussion and synopsis of these methods provides concrete examples drawn from primary research in cancer    Covering design considerations, measurement issues, and methods of statistical inference, and filled with scientific tables, equations, and pictures, Molecular Epidemiology: Applications in Cancer and Other Human Diseases presents a solid, single-source foundation for conducting and interpreting molecular epidemiological studies.

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