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Stata Video 11 - Modeling Longitudinal Data with Fixed- and Random-effect
Multilevel and Longitudinal Modeling Using Stata, Second Edition
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Unknown user - please login. Main Page. Where search: Socionet EconPapers Google. This text is a Stata-specific treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" in the sense that they allow fixed and random effects and are "generalized" in the sense that they are appropriate not only for continuous Gaussian responses but also for binary, count, and other types of limited dependent variables.
Sophia Rabe-Hesketh , Anders Skrondal. 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.
Multilevel and Longitudinal Modeling Using Stata, Third Edition, by Sophia Rabe- Hesketh and Anders Skrondal, looks specifically at Stata's Download the datasets used in this book (from ninciclopedia.org) Download the brochure ( PDF).
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