This course is designed primarily for the doctoral student. This course teaches advanced statistical concepts and models for the analysis of quantitative and qualitative biomedical data. The course begins with basic general linear model concepts followed by a series of statistical models used in biomedical data analysis including multivariate techniques, matrix algebra, and statistical theory. This course introduces the student to basic epidemiologic principles. The course initially focuses on the measurement of disease rates in populations, then transitions into a course of instruction on the basic epidemiologic study designs.
Instruction is provided through lectures and in-class laboratory exercises.
This course expands upon the introduction to epidemiologic study design presented in PMO511. Students' knowledge of the principles of study design, conduct, and analysis are solidified through a written proposal project. This course expands upon the concepts and content of PMO511 and 512. Particular emphasis is placed on data analysis. Laboratory exercises and simulations provide the students with hands-on experience in solving selected epidemiologic problems.