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This class covers a wide range of statistical methods, from basic statistics to advanced regression methods for repeated measurements, and developing and validating prognostic and diagnostic tests. The emphasis is on application and practice, using the statistical software Stata, rather than theory and formulas. Statistical programming, computer graphics, Monte Carlo simulation, and bootstrap simulation in Stata is taught. Epidemiology principles, such as confounding, bias, and causation are also covered. (Required for all biomedical informatics graduate students.)
This noncredit class meets with a regular University of Utah credit course.