Multilevel and longitudinal modeling using Stata. 2nd ed. (English) Zbl 1274.62031

Rabe-Hesketh, Sophia; Skrondal, Anders

College Station, TX: Stata Press (ISBN 978-1-59718-040-5). xxxiii, 562 p. (2008).

Publisher’s description: This book 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 monograph 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 three new chapters, comprehensive updates for Stata 10, 38 new exercises, and 27 new data sets.

MSC:

62-02	Research exposition (monographs, survey articles) pertaining to statistics
62J12	Generalized linear models (logistic models)
65C60	Computational problems in statistics (MSC2010)
62Pxx	Applications of statistics

Citations:

Zbl 1097.62001

Software:

Stata; MLwiN