Sophia Rabe-Hesketh is a professor of educational statistics and biostatistics at the University of California, Berkeley.Anders Skrondal is a senior biostatistician at the Centre for Fertility and Health, Norwegian Institute of Public Health and an adjunct professor at the University of Oslo and at the University of California, Berkeley.

• I. Preliminaries 1. Review of linear regression II. Two-level models 3. Random-intercept models with covariates 4. Random-coefficient models III. Models for longitudinal and panel data; Introduction to models for longitudinal and panel data (part III) 5. Subject-specific effects and dynamic models 6. Marginal models 7. Growth-curve models IV. Models with nested and crossed random effects 8. Higher-level models with nested random effects 9. Crossed random effects

Sophia Rabe-Hesketh is a professor of educational statistics and biostatistics at the University of California, Berkeley.Anders Skrondal is a senior biostatistician at the Centre for Fertility and Health, Norwegian Institute of Public Health and an adjunct professor at the University of Oslo and at the University of California, Berkeley.

• I. Preliminaries 1. Review of linear regression II. Two-level models 3. Random-intercept models with covariates 4. Random-coefficient models III. Models for longitudinal and panel data; Introduction to models for longitudinal and panel data (part III) 5. Subject-specific effects and dynamic models 6. Marginal models 7. Growth-curve models IV. Models with nested and crossed random effects 8. Higher-level models with nested random effects 9. Crossed random effects

Sophia Rabe-Hesketh is a professor of educational statistics and biostatistics at the University of California, Berkeley.Anders Skrondal is a senior biostatistician at the Centre for Fertility and Health, Norwegian Institute of Public Health and an adjunct professor at the University of Oslo and at the University of California, Berkeley.

• I. Preliminaries 1. Review of linear regression II. Two-level models 3. Random-intercept models with covariates 4. Random-coefficient models III. Models for longitudinal and panel data; Introduction to models for longitudinal and panel data (part III) 5. Subject-specific effects and dynamic models 6. Marginal models 7. Growth-curve models IV. Models with nested and crossed random effects 8. Higher-level models with nested random effects 9. Crossed random effects