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Multilevel and Longitudinal Modeling Using Stata, Volumes I and II

Sophia Rabe-Hesketh Anders Skrondal

$252

Mixed media product

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English
Stata Press
29 April 2022
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped-whether those groups are formed by a nesting structure, such as children nested in classrooms, or formed by repeated observations on the same individuals. This text introduces random-effects models, fixed-effects models, mixed-effects models, marginal models, dynamic models, and growth-curve models, all of which account for the grouped nature of these types of data. As Rabe-Hesketh and Skrondal introduce each model, they explain when the model is useful, its assumptions, how to fit and evaluate the model using Stata, and how to interpret the results. With this 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, while volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.
By:   ,
Imprint:   Stata Press
Country of Publication:   United States
Edition:   4th New edition
Weight:   2.000kg
ISBN:   9781597181365
ISBN 10:   1597181366
Pages:   1098
Publication Date:  
Audience:   College/higher education ,  Primary
Format:   Mixed media product
Publisher's Status:   Active

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.

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