Multilevel and Longitudinal Modeling Using Stata, Volume I
Continuous Responses
4th Edition
Published on 22. October 2021
Book
Paperback/Softback
544 pages
978-1-59718-137-2 (ISBN)
Description
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.
More details
Edition
4th edition
Language
English
Place of publication
College Station
United States
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Professional Practice & Development
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 240 mm
Width: 188 mm
Thickness: 37 mm
Weight
1215 gr
ISBN-13
978-1-59718-137-2 (9781597181372)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Sophia Rabe-Hesketh | Anders Skrondal
Multilevel and Longitudinal Modeling Using Stata, Volume I
Continuous Responses, Third Edition
Book
04/2012
3rd Edition
Stata Press
€123.29
Article exhausted; check for reprint
Persons
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.
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.
Content
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