Presented by Geert Verbeke and Geert Molenberghs

Level – Professional

CPD 12 hours

The course begins with a brief presentation of linear mixed models for continuous hierarchical data. The course focus is from the modeller’s perspective and on applications. Emphasis will be on model formulation, parameter estimation, and hypothesis testing, as well as on the distinction between the random-effects (hierarchical) model and the implied marginal model. It will be shown that, if no appropriate measures are taken, missing data can seriously jeopardize results, and interpretation difficulties are bound to occur. Methods to properly analyse incomplete data, under flexible assumptions, will be presented.