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Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped.
List of 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
About the author
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.
Summary
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped.
