STA5067Z - Longitudinal Data Analysis

15 credits at NQF level 9

Entry Requirements:

Acceptance into Master’s programs in Advanced Analytics, Data Science or Biostatistics, and/or statistical background deemed sufficient by the Head of Department.

Course Outline:

This course looks at advanced methods for the analysis of longitudinal data, including linear mixed effect models, generalized estimating equations, generalized linear mixed effect models, nonlinear mixed effect models, smoothing spline models, imputation methods for missing data and causal models. Both the underlying theory and the application of these models using appropriate statistical software are covered. The course may not be offered every year.