This unit examines the analysis of complex correlated data with a time series and a linear mixed model approach. Longitudinal (or repeated measures) data, spatial data, clustered data and data from complex experimental designs are utilised to develop and describe methodology, and describe analyses approaches. The unit focuses on recognising data with these structures and identifying appropriate models to fit. It also addresses how to carry out such analyses using modern statistical techniques and packages, utilising real-world examples from many disciplines such as science (e.g. agricultural, biological, environmental, medical and physical), social sciences and finance.

Students are able to (1) understand statistical models for complex data; (2) fit models to their data using modern statistical techniques and packages; (3) critically assess fitted models; and (4) interpret and communicate results of analysis of complex correlated data.