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eBook Multilevel and Longitudinal Modeling Using Stata, Second Edition epub

by Sophia Rabe-Hesketh,Anders Skrondal

eBook Multilevel and Longitudinal Modeling Using Stata, Second Edition epub
  • ISBN: 1597180408
  • Author: Sophia Rabe-Hesketh,Anders Skrondal
  • Genre: Science
  • Subcategory: Mathematics
  • Language: English
  • Publisher: Stata Press; 2 edition (February 7, 2008)
  • Pages: 562 pages
  • ePUB size: 1177 kb
  • FB2 size 1335 kb
  • Formats txt mbr lrf rtf


The book complements existing Stata documentation (primarily.

Rabe-Hesketh and Anders Skrondal. Keywords: gn0043, multilevel, longitudinal, Rabe-Hesketh, Skrondal, mlmus2. The book complements existing Stata documentation (primarily. the ata Reference Manual ).

Home Bookstore Books on Stata Multilevel and Longitudinal .

Rabe-Hesketh and Skrondal begin with the comparatively simple random-intercept linear model without covariates, developing the mixed model from principles and thereby familiarizing the reader with terminology, summarizing and relating the widely used estimating strategies, and providing historical perspective. The third part of volume I describes models for longitudinal and panel data, including dynamic models, marginal models (a new chapter), and growth-curve models (a new chapter).

Stata, as a general purpose stat package has a much wider range of capabilities, as does SAS. It is therefore a very good choice of software to use for examining this class of models.

Sophia Rabe-Hesketh, Anders Skrondal. The authors teach multilevel and longitudinal modeling at their universities and frequently hold workshops at international conferences. They have been developing a general modeling framework, GLLAMM, and Stata software gllamm for multilevel and latent variable modeling. This work has been published in their highly acclaimed book Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models and in many journals, including Biometrics, Psychometrika, Journal of Econometrics, and Journal of the Royal Statistical Society.

multilevel; longitudinal; Rabe-Hesketh; Skrondal; mlmus2 .

multilevel; longitudinal; Rabe-Hesketh; Skrondal; mlmus2; Statistics. All material on this site has been provided by the respective publishers and authors. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

Описание: This book provides a comprehensive treatment on modeling .

Описание: This book provides a comprehensive treatment on modeling approaches for non-Gaussian repeated measures, possibly subject to incompleteness. The authors begin with models for the full marginal distribution of the outcome vector. Автор: Rabe-Hesketh Название: Multilevel and Longitudinal Modeling Using Stata, Volume II ISBN: 1597181048 ISBN-13(EAN): 9781597181044 Издательство: Taylor&Francis Рейтинг

Sophia Rabe-Hesketh, Anders Skrondal. Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters also organized in four parts.

Sophia Rabe-Hesketh, Anders Skrondal

Sophia Rabe-Hesketh, Anders Skrondal. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent.

ISBN13: 9781597180085. More Books . ABOUT CHEGG.

I highly recommend this two-volume set of books to anyone with an interest in modeling multilevel and longitudial models, regardless of their preferred statistical software. It is also very well written, with each model examined in a very clear manner.

Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels.

Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. The applications and exercises span a wide range of disciplines, making the book suitable for courses on multilevel and longitudinal modeling in the medical, social, and behavioral sciences and in applied statistics. This extensively revised second edition includes 3 new chapters, comprehensive updates for Stata 10, 38 new exercises, and 27 new data sets.

The authors teach multilevel and longitudinal modeling at their universities and frequently hold workshops at international conferences. They have been developing a general modeling framework, GLLAMM, and Stata software gllamm for multilevel and latent variable modeling. This work has been published in their highly acclaimed book Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models and in many journals, including Biometrics, Psychometrika, Journal of Econometrics, and Journal of the Royal Statistical Society.

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