Methods of inference for correlated outcome variables, with a special emphasis on repeated measurements in medical studies. Core topics include exploratory analysis of correlated data and GEE/random effects regression models for continuous, count, and categorical outcomes.
Theory of statistical inference (estimation and testing, asymptotics) at or above the level of PubH 8412 AND Linear models (linear algebra, least square, multivariate normal distribution) at or above the level of PubH8 401 AND familiarity with R at or above the level of PubH 7460 OR permission of the Instructor.
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