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Multilevel and Longitudinal Modeling Using Stata, Volume I: Continuous Responses

Autor Sophia Rabe-Hesketh, Anders Skrondal
en Limba Engleză Paperback – 22 oct 2021
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.
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Specificații

ISBN-13: 9781597181372
ISBN-10: 1597181374
Pagini: 544
Dimensiuni: 188 x 240 x 37 mm
Greutate: 0.9 kg
Ediția:4 ed
Editura: Stata Press
Colecția Stata Press

Public țintă

Academic, Postgraduate, and Professional Practice & Development

Cuprins

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

Notă biografică

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.

Descriere

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.