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.
Fee: None to members of the Cornell community, but registration is required. Since space is limited, early registration is encouraged.
Instructor: Professor Booth, Biological Statistics and Computational Biology
For times and locations of upcoming workshops, please see the Workshop Schedule.