Analysis of Repeated Measurements Course 2024

The course addresses statistical methods for handling repeated measurements in clinical and epidemiological research, where outcomes are measured over time on the same experimental unit. Traditional regression models are inadequate due to potential correlations between repeated measurements. The curriculum covers classical and modern approaches, including Linear Regression and Linear Mixed Models for normally distributed responses, and Generalized Estimating Equations and Generalized Linear Mixed Models for non-normal responses. Practical applications are illustrated through examples, and computer labs with R and SPSS help participants apply these methods to real data. Recent advancements in the field, available in commercial computer packages, are also discussed.