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.

A specific discussion and synopsis of these methods provides concrete examples drawn from primary research in cancer.
Edited by leaders of AACRs molecular epidemiology group, 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 and family-based
• Approaches for evaluation of genetic susceptibility to exposure and addiction pharmacogenetics
• Incorporation of biomarkers in clinical trials
• Measurement issues such as DNA biosampling methods, high-quality genotyping, haplotypes, biomarkers of exposure and effect, and exposure assessment
• Methods of statistical inference, 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 reporting and interpreting results