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-onlyfamily-basedapproaches for evaluation of genetic susceptibility to exposure and addiction pharmacogeneticsincorporation of biomarkers in clinical trials* measurement issues in molecular epidemiology, includingDNA biosampling methodsprinciples for high-quality genotypinghaplotypesbiomarkers of exposure and effectexposure assessment* methods of statistical inference used in molecular epidemiology, includinggene-gene and gene-environment interaction analysisnovel high-dimensional analysis approachespathway-based analysis methodshaplotype methods, dealing with race and ethnicityrisk modelsa discussion of reporting and interpreting results* A specific discussion and synopsis of these methods provides concrete examples drawn from primary research in cancerCovering 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.