Course hours: 13.00-16.30 (Mo), 08.30-16.30 (Tu&We), 08.30-12.00 (Th)

The short course introduces models for multilevel or clustered data, such as cross-sectional data with students nested in schools, or longitudinal data with repeated measures/panel waves nested in subjects. Part 1 of the course covers linear multilevel models for continuous responses, including random-intercept, random-coefficient, and three-level models. (Restricted) maximum likelihood estimation of model parameters and empirical Bayes prediction of random effects are introduced. Part 2 focuses on longitudinal data analysis, starting with application of random-coefficient models for growth, contrasting this approach with marginal modeling and giving a brief overview of methods from panel data econometrics. Part 3 introduces multilevel logistic regression for binary responses. Course participants must be familiar with linear and logistic regression.

Professors Sophia Rabe-Hesketh (University of California, Berkeley) and Anders Skrondal (Centre for Fertility and Health, Norwegian Institute of Public Health & University of Oslo & University of California, Berkeley) have written several books and many papers and chapters on these topics. They have taught successful courses on multilevel and longitudinal modeling at the University of California, Berkeley and the London School of Economics and many short-courses worldwide.