Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. Volume I focuses on linear models for continuous outcomes.
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. Volume I focuses on linear models for continuous outcomes.
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.
Inhaltsangabe
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
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
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