A practical introduction to methods for the analysis of repeated measures data, including continuous and binary outcomes. Topics include: longitudinal study designs, analysis of pretest-posttest designs, (random effects) growth curve models, marginal models, dynamic (autoregressive) models, mixture and latent class models, and multiprocess models for multivariate outcomes. The course will have an applied emphasis with weekly computer classes using appropriate software (e.g. Stata).

Note: The course content for ST542 is exactly the same. Only the assessment differs.