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Bibframe Work

Title
Multilevel and longitudinal modeling using Stata
Type
Text
Monograph
Contribution
Rabe-Hesketh, S. (Author)
Skrondal, Anders (Author)
Subject
Stata
Latent variables (LCSH)
Latent structure analysis (LCSH)
Mathematical statistics--Data processing (LCSH)
Linear models (Statistics) (LCSH)
Multilevel models (Statistics) (LCSH)
Language
English
Illustrative Content
Illustrations
Classification
LCC: QA278.6 .S57 2022 (Assigner: dlc) (Status: used by assigner)
Supplementary Content
bibliography
index
Content
text
Summary
"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"-- Provided by publisher.
Table Of Contents
volume 1. Continuous responses
volume 2. Categorical responses, counts, and survival.
Authorized Access Point
Rabe-Hesketh, S. Multilevel and longitudinal modeling using Stata
Admin Metadata
Generation Process: DLC marc2bibframe2 v2.5.0
Status: changed
Encoding Level: full
Identified By: bf:Local, 22162180
Change Date: 2022-07-08T12:10:17
Creation Date: 2021-08-03
Description Language: English
Description Authentication: Program for Cooperative Cataloging
Assigner: United States, Library of Congress