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

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.

List of contents

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

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. Volume I focuses on linear models for continuous outcomes.

Product details

• Authors: Sophia Rabe-Hesketh, Rabe-Hesketh Sophia, Anders Skrondal, Skrondal Anders
• Publisher: Taylor and Francis
• Languages: English
• Product format: Paperback / Softback
• Released: 31.10.2021
• EAN: 9781597181372
• ISBN: 978-1-59718-137-2
• No. of pages: 544
• Weight: 1220 g
• Subjects: Humanities, art, music > Psychology > Basic principles; Natural sciences, medicine, IT, technology > Mathematics > Probability theory, stochastic theory, mathematical statistics; Non-fiction book > Psychology, esoterics, spirituality, anthroposophy > Psychology: general, reference works; MATHEMATICS / Probability & Statistics / General, Psychological methodology, Probability & statistics, Probability and statistics