Main description:

Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped-whether those groups are formed by a nesting structure, such as children nested in classrooms, or formed by repeated observations on the same individuals. This text introduces random-effects models, fixed-effects models, mixed-effects models, marginal models, dynamic models, and growth-curve models, all of which account for the grouped nature of these types of data. As Rabe-Hesketh and Skrondal introduce each model, they explain when the model is useful, its assumptions, how to fit and evaluate the model using Stata, and how to interpret the results. With this 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, while volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.

Contents:

Volume I

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

Volume II

V. Models for categorical responses

10. Dichotomous or binary responses

11. Ordinal responses

12. Nominal responses and discrete choice

VI. Models for counts

13. Counts

VII. Models for survival or duration data

Introduction to models for survival or duration data (part VII)

14. Discrete-time survival

15. Continuous-time survival

VIII. Models with nested and crossed random effects

16. Models with nested and crossed random effects