Theory and application of statistical techniques used in genetic epidemiology. Includes discussion of association studies, linkages, and segregation analyses. Examples stressed with reference to assumptions and limitations. Prerequisite: either BIOST 513 or BIOST 518; PHG 511/EPI 517, or permission of instructor. Offered: jointly with EPI 516/PHG 519.
This course is designed to provide students with the statistical foundation that is needed to understand the limitations and assumptions of methods utilized in Genetic Epidemiology. It is a core course for the Masters of Science degree track in Genetic Epidemiology. The course will be taught at a level commensurate with a Masters of Science degree; however, it can also serve as an elective for researchers wishing to more deeply understand analyses found in the scientific literature.
Both theory and application of statistical techniques will be covered. Examples will be stressed with reference to assumptions and limitations. The course coverage will include topics pertaining to segregation analysis, linkage studies, and association methodology. Material will include discussion of designs, methods and issues related to experimental planning such as estimation of power. This year advanced topics will include the use of microarrays in genetic epidemiology studies, multivariate linkage and segregation methods and methods for addressing multiple testing.
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