Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume I focuses on linear models for continuous outcomes.
Table of Contents
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.