Song, Peter X.-K 1964-

Correlated data analysis : modeling, analytics, and applications / Peter X.-K. Song. - New York : Springer, c2007. - xv, 346 p. : ill. ; 24 cm. - Springer series in statistics. .

Includes bibliographical references and index.

1. Introduction and examples --
2. Dispersion models --
3. Inference functions --
4. Modeling correlated data --
5. Marginal generalized linear models --
6. Vector generalized linear models --
7. Mixed-effects models: likelihood-based inference --
8. Mixed-effects models: Bayesian inference --
9. Linear predictors --
10. Generalized state space models --
11. Generalized state space models for longitudinal binomial data --
12. Generalized state space models for longitudinal count data --
13. Missing data in longitudinal studie Table of contents

Summary:
This book covers recent developments in correlated data analysis, using the class of dispersion models as marginal components in the formulation of joint models for correlated data. Much new material Read more...




9780387713922 (acidfree paper) 0387713921 (acidfree paper) 9780387713939 (e-ISBN)

2007929730


Correlation (Statistics)
Generalized estimating equations.

QA278.2 / .S615 2007

519.537 / SOC 2007

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