Longitudinal Data Analysis

Donald Hedeker, Robert D. Gibbons - Collection Wiley Series in Probability and Statistics

350 pages, parution le 29/05/2006

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Résumé

Longitudinal data analysis for biomedical and behavioral sciences

This innovative book sets forth and describes methods for the analysis of longitudinaldata, emphasizing applications to problems in the biomedical and behavioral sciences. Reflecting the growing importance and use of longitudinal data across many areas of research, the text is designed to help users of statistics better analyze and understand this type of data.

Much of the material from the book grew out of a course taught by Dr. Hedeker on longitudinal data analysis. The material is, therefore, thoroughly classroom tested and includes a number of features designed to help readers better understand and apply the material. Statistical procedures featured within the text include:

Repeated measures analysis of variance
Multivariate analysis of variance for repeated measures
Random-effects regression models (RRM)
Covariance-pattern models
Generalized-estimating equations (GEE) models
Generalizations of RRM and GEE for categorical outcomes

Practical in their approach, the authors emphasize the applications of the methods, using real-world examples for illustration. Some syntax examples are provided, although the authors do not generally focus on software in this book. Several datasets and computer syntax examples are posted on this title's companion Web site. The authors intend to keep the syntax examples current as new versions of the software programs emerge.

This text is designed for both undergraduate and graduate courses in longitudinal data analysis. Instructors can take advantage of overheads and additional course materials available online for adopters. Applied statisticians in biomedicine and the social sciences can also use the book as a convenient reference.

Sommaire

Introduction
ANOVA Approaches to Longitudinal Data
MANOVA Approaches to Longitudinal Data
Mixed-Effects Regression Models for Continuous Outcomes
Mixed-Effects Polynomial Regression Models
Covariance Pattern Models
Mixed Regression Models with Autocorrelated Errors
Generalized Estimating Equations (GEE) Models
Mixed-Effects Regression Models for Binary Outcomes
Mixed-Effects Regression Models for Ordinal Outcomes
Mixed-Effects Regression Models for Nominal Data
Mixed-effects Regression Models for Counts
Mixed-Effects Regression Models for Three-Level Data
Missing Data in Longitudinal Studies

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Wiley
Auteur(s)	Donald Hedeker, Robert D. Gibbons
Collection	Wiley Series in Probability and Statistics
Parution	29/05/2006
Nb. de pages	350
Format	16 x 24,5
Couverture	Relié
Poids	625g
Intérieur	Noir et Blanc
EAN13	9780471420279
ISBN13	978-0-471-42027-9