320 pages | 32 B/W Illus.
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:
• measurement issues in molecular epidemiology, including
• methods of statistical inference used in molecular epidemiology, including
• 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.
Design Considerations in Molecular. Family-Based Study Designs. Trials and Interventions in Molecular Epidemiology. Molecular Epidemiological Designs for Prognosis. Principles for High-Quality Genotyping. Biomarkers of Exposure and Effect. Questionnaire Assessment. Pharmacogenetics in cancer chemotherapy. Human genetic variation and its implication in understanding "race"/ethnicity and admixture. Statistical Approaches to Studies of Gene-Gene and Gene-environment Interactions. Novel Analytical Methods for Association Studies. Pathway-Based Methods In Molecular Cancer Epidemiology. Haplotype Association Analysis. Genome-Wide Association Studies. Models of Absolute Risk: Interpretation, Estimation, Validation, and Application. Validation and Confirmation of Associations. Reporting and Interpreting Results.