Multilevel and Longitudinal Modeling Using Stata

Multilevel and Longitudinal Modeling Using Stata by Sophia Rabe-Hesketh

Presenting a thorough and accessible treatment of generalized linear mixed models, also known as multilevel or hierarchical models, Multilevel and Longitudinal Modeling Using Stata explains the models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. Beginning with the comparatively simple random-intercept linear model without covariates, the text develops the mixed model from first principles, familiarizing the reader with terminology, summarizing and relating the widely used estimating strategies, and providing historical perspective. Once this mixed-model foundation has been established, the text smoothly transitions to random-intercept models with covariates and then to random-coefficient models. The middle chapters apply the concepts defined earlier for Gaussian models to models for binary responses (e.g., logit and probit), ordinal responses (e.g., ordered logit and ordered probit), and count responses (e.g., Poisson). Models with multiple levels of random variation are then considered, as well as models with crossed (nonnested) random effects. The most complete and up-to-date depiction of Stata’s capacity for fitting generalized linear mixed models, Multilevel and Longitudinal Modeling Using Stata serves as an ideal introduction for Stata users wishing to learn about this powerful data-analysis tool.

SKU	Unavailable
ISBN 13	9781597180085
ISBN 10	1597180084
Title	Multilevel and Longitudinal Modeling Using Stata
Author	Sophia Rabe-Hesketh
Condition	Unavailable
Binding Type	Paperback
Publisher	Stata Press
Year published	2005-08-15
Number of pages	320
Cover note	Book picture is for illustrative purposes only, actual binding, cover or edition may vary.