Biostatistics 740 - Analysis of Mixed Models Data

Integration of linear models with experimental design and sampling, considering applications with unbalanced and missing data. In-depth discussion of mixed models including parameterizations, analysis of covariance, unequal numbers of observations per cell, missing cells. Repeated measure designs and longitudinal data analysis emphasized, with many examples illustrated using SAS. Prerequisite: BIOST&EP 640 and 691F or equivalent. Recommended: Bioepi 741 and 744.

BIOSTATS 640 This course is offered in person on the Amherst campus. A synchronous Zoom option may be available for all or selected class meetings; please check with the instructor for details.