Multilevel and longitudinal modeling using Stata / Sophia Rabe-Hesketh, Anders Skrondal.

"Multilevel and Longitudinal Modeling Using Stata, Third Edition, discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients nested in hospitals, or employees nested in firms. Longitudinal data are also clustered with, for instance, repeated...

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Bibliographic Details
Main Authors: Rabe-Hesketh, S. (Author), Skrondal, Anders (Author)
Language:English
Published: College Station, Tex. : Stata Press Publication, 2012.
Edition:Third edition.
Subjects:
Stata.
Latent variables.
Latent structure analysis.
Mathematical statistics > Data processing.
Linear models (Statistics)
Multilevel models (Statistics)
Physical Description:2 volumes (xxx, xxiii, 974 pages) : illustrations ; 24 cm
Format: Book
Contents:
  • v. 1. Continuous responses:
  • 1. Review of linear regression
  • 2. Variance-components models
  • 3. Random-intercept models with covariates
  • 4. Random-coefficient models
  • 5. Subject-specific effects and dynamic models
  • 6. Marginal models
  • 7. Growth-curve models
  • 8. Higher-level models with nested random effects
  • 9. Crossed random effects
  • Appendix. A : Useful Stata commands.
  • v. 2. Categorical responses, counts, and survival:
  • 10. Dichotomous or binary responses
  • 11. Ordinal responses
  • 12. Nominal responses and discrete choice
  • 13. Counts
  • 14. Discrete-time survival
  • 15. Continuous-time survival
  • 16. Models with nested and crossed random effects
  • Appendices. A : Syntax for gllamm, eq, and gllapred : the bare essentials ; B : Syntax for gllamm ; C : Syntax for gllapred ; D : Syntax for gllasim.