Multilevel and Longitudinal Modeling Using Stata PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Multilevel and Longitudinal Modeling Using Stata PDF full book. Access full book title Multilevel and Longitudinal Modeling Using Stata by S. Rabe-Hesketh. Download full books in PDF and EPUB format.
Author: S. Rabe-Hesketh
Publisher:
ISBN: 9781597183093
Category : Latent structure analysis
Languages : en
Pages : 974
Get Book Here
Book Description
Author: S. Rabe-Hesketh
Publisher:
ISBN: 9781597183093
Category : Latent structure analysis
Languages : en
Pages : 974
Get Book Here
Book Description
Author: Sophia Rabe-Hesketh
Publisher: Stata Press
ISBN: 1597180408
Category : Computers
Languages : en
Pages : 598
Get Book Here
Book Description
This textbook looks specifically at Stata’s treatment of generalized linear mixed models, also known as multilevel or hierarchical models. These models are "mixed" because they allow fixed and random effects, and they are "generalized" because they are appropriate for continuous Gaussian responses as well as binary, count, and other types of limited dependent variables.
Author: S. Rabe-Hesketh
Publisher:
ISBN: 9781597181365
Category : Latent structure analysis
Languages : en
Pages : 1098
Get Book Here
Book Description
"Multilevel and Longitudinal Modeling Using Stata, Fourth 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. Across volumes, the 16 chapters, over 140 exercises, and over 110 datasets span a wide range of disciplines, making the book suitable for courses in the medical, social, and behavioral sciences and in applied statistics. This first volume is dedicated to models for continuous responses and is a prerequisite for the second volume on models for other response types. It has been thoroughly revised and updated for Stata 16. New material includes the Kenward-Roger degree-of-freedom correction for improved inference with a small number of clusters, difference-in-differences estimation for natural experiments, and instrumental-variable estimation to handle level-1 endogeneity"--
Author: Sophia Rabe-Hesketh
Publisher: Stata Press
ISBN: 9781597181037
Category : Mathematics
Languages : en
Pages : 514
Get Book Here
Book Description
Volume I is devoted to continuous Gaussian linear mixed models and has nine chapters. The chapters are organized in four parts. The first part provides a review of the methods of linear regression. The second part provides an in-depth coverage of the two-level models, the simplest extensions of a linear regression model. The mixed-model foundation and the in-depth coverage of the mixed-model principles provided in volume I for continuous outcomes, make it straightforward to transition to generalized linear mixed models for noncontinuous outcomes described in volume II.
Author: Sophia Rabe-Hesketh
Publisher: Stata Press
ISBN: 9781597181044
Category : Mathematics
Languages : en
Pages : 484
Get Book Here
Book Description
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. The first three parts in volume II cover models for categorical responses, including binary, ordinal, and nominal (a new chapter); models for count data; and models for survival data, including discrete-time and continuous-time (a new chapter) survival responses. The final part in volume II describes models with nested and crossed-random effects with an emphasis on binary outcomes.
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :
Get Book Here
Book Description
Author: Anders Skrondal
Publisher: CRC Press
ISBN: 0203489438
Category : Mathematics
Languages : en
Pages : 528
Get Book Here
Book Description
This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models. Following a gentle introduction to latent variable modeling, the authors clearly explain and contrast a wi
Author: Holmes Finch
Publisher: CRC Press
ISBN: 135167840X
Category : Mathematics
Languages : en
Pages : 266
Get Book Here
Book Description
This book is designed primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focus is on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.
Author: Tom A. B. Snijders
Publisher: SAGE
ISBN: 9780761958901
Category : Mathematics
Languages : en
Pages : 282
Get Book Here
Book Description
Multilevel analysis covers all the main methods, techniques and issues for carrying out multilevel modeling and analysis. The approach is applied, and less mathematical than many other textbooks.
Author: S. Rabe-Hesketh
Publisher:
ISBN: 9781597183147
Category :
Languages : en
Pages :
Get Book Here
Book Description
