Univariate Repeated Measures versus MANOVA
Many experiments involve repeated measurements on a sample of subjects or sampling units. This kind of data can be analyzed using multivariate regression or MANOVA methods with unstructured covariances between the responses on the same subject. An alternative is to use a univariate mixed model which implies a simple covariance structure.This workshop will discuss the pros and cons of the two approaches and the associated statistical tests for within and between subject factors. Instructor: Professor James Booth, Department of Biological Statistics and Computational Biology.
Fee:None, but registration is required.
For times and locations of upcoming workshops, please see the Workshop Schedule.