Multilevel and longitudinal modeling using stata - Info and Reading Options
By S. Rabe-Hesketh, Anders Skrondal and Stata Corporation
"Multilevel and longitudinal modeling using stata" is published by Stata Press Publication in c2008 - Texas, the book is classified in bibliography genre and the language of the book is English.
“Multilevel and longitudinal modeling using stata” Metadata:
- Title: ➤ Multilevel and longitudinal modeling using stata
- Authors: S. Rabe-HeskethAnders SkrondalStata Corporation
- Language: English
- Publisher: Stata Press Publication
- Publish Date: c2008
- Publish Location: Texas
- Genres: bibliography
- Library of Congress Classification: QA276.4 .R334 2008
“Multilevel and longitudinal modeling using stata” Subjects and Themes:
- Subjects: Mathematical statistics - Data processing - Linear models (Statistics) - Multilevel models (Statistics) - Data Interpretation, Statistical [MESH]
Edition Specifications:
- Number of Pages: ➤ xxxiii, 562 p. : ill., maps ; 24 cm.
Edition Identifiers:
- Online Computer Library Center (OCLC) ID: 191245415
- Library of Congress Control Number (LCCN): ^^2009419524
- All ISBNs: 9781597180405 - 1597180408
AI-generated Review of “Multilevel and longitudinal modeling using stata”:
"Multilevel and longitudinal modeling using stata" Table Of Contents:
- 1- Review of linear regression
- 2- Variance
- 3- omponents models
- 4- Random
- 5- ntercept models with covariates
- 6- Random
- 7- oefficient models
- 8- Longitudinal, panel, and growth
- 9- urve models
- 10- Dichotomous or binary responses
- 11- Ordinal responses
- 12- Discrete
- 13- ime survival
- 14- Counts
- 15- Higher
- 16- evel models with nested random effects
- 17- Crossed random effects.
"Multilevel and longitudinal modeling using stata" Description:
Harvard Library:
"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 datasets."--BOOK JACKET.
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- Harvard University Library: Location: Cabot Science Library, Harvard University - Shelf Numbers: QA276.4 .R334 2008 1-3
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