Limit search to available items
Book Cover
E-book
Author Hardin, James W. (James William)

Title Generalized estimating equations / James W. Hardin, Joseph M. Hilbe
Published Boca Raton, Fla. : Chapman & Hall/CRC, [2003]
©2003
Online access available from:
BIOSCIENCEnetBASE    View Resource Record  

Copies

Description 1 online resource (xiii, 222 pages) : illustrations
Series BIOSCIENCEnetBASE
Contents Notational conventions -- A short review of generalized linear models -- Historical review -- Link and variance functions -- Algorithms -- Software -- S-PLUS -- SAS -- Stata -- SUDAAN -- Model Construction and Estimating Equations -- Independent data -- The FIML estimating equation for linear regression -- The FIML estimating equation for Poisson regression -- The FIML estimating equation for Bernoulli regression -- The LIML estimating equation for GLMs -- The LIMQL estimating equation for GLMs -- Estimating the variance of the estimates -- Panel data -- Pooled estimators -- Fixed-effects and random-effects models -- Unconditional fixed-effects models -- Conditional fixed-effects models -- Random-effects models -- Population-averaged and subject-specific models -- Estimation -- Generalized Estimating Equations -- Population-averaged (PA) and subject-specific (SS) models -- The PA-GEE for GLMs -- Parameterizing the working correlation matrix -- Exchangeable correlation -- Autoregressive correlation -- Stationary correlation -- Nonstationary correlation -- Unstructured correlation -- Fixed correlation -- Free specification -- Estimating the scale variance (dispersion parameter) -- Independence models -- Exchangeable models -- Estimating the PA-GEE model -- Convergence of the estimation routine -- ALR: Estimating correlations for binomial models -- The SS-GEE for GLMs -- Single random-effects -- Multiple random-effects -- Applications of the SS-GEE -- Estimating the SS-GEE model -- The GEE2 for GLMs
Summary "This is the first book devoted to generalized estimating equations (GEE), which has become a predominant method for analyzing longitudinal and clustered data and has been fully incorporated into the major software packages, such as SAS, S-Plus, and Stata. The text explores the theory, applications, and alternative methodologies, while incorporating the newest trends, such as GEE2, EGEE, ALR, and missing value problems."--Publisher description
Bibliography Includes bibliographical references and index
Notes Print version record
Subject Generalized estimating equations.
Form Electronic book
Author Hilbe, Joseph M., 1944-
ISBN 1420035282 (electronic bk.)
9781420035285 (electronic bk.)
(acid-free paper)
(acid-free paper)