Multilevel and Longitudinal Modeling Using Stata, Volumes I and II (Paperback, 4th New edition)

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.

General

Imprint:	Stata Press
Country of origin:	United States
Release date:	October 2021
First published:	2022
Authors:	Sophia Rabe-Hesketh • Anders Skrondal
Dimensions:	190 x 244 x 72mm (L x W x T)
Format:	Paperback • Paperback
Pages:	1098
Edition:	4th New edition
ISBN-13:	978-1-59718-136-5
Categories:	Books > Science & Mathematics > Mathematics > Probability & statistics Books > Social sciences > Psychology > Psychological methodology > General Books > Medicine > General issues > Public health & preventive medicine > Epidemiology & medical statistics Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software Promotions
LSN:	1-59718-136-6
Barcode:	9781597181365

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