Longitudinal data analysis / Donald Hedeker, Robert D. Gibbons.

Format:

Book

Author/Creator:

Hedeker, Donald R., 1958-

Contributor:

Gibbons, Robert D., 1955-

Wiley InterScience (Online service)

President Emeritus Martin Meyerson Fund.

Series:

Wiley series in probability and statistics

Language:

English

Subjects (All):

Longitudinal method.

Medicine--Research--Statistical methods.

Medicine.

Medical sciences--Research--Statistical methods.

Medical sciences.

Social sciences--Research--Statistical methods.

Social sciences.

Longitudinal Studies.

Data Interpretation, Statistical.

Models, Statistical.

Medical sciences--Research.

Statistics.

Medical Subjects:

Longitudinal Studies.

Data Interpretation, Statistical.

Models, Statistical.

Physical Description:

1 online resource (xx, 337 pages) : illustrations.

polychrome

Place of Publication:

Hoboken, N.J. : Wiley-Interscience, [2006]

System Details:

text file

Summary:

This innovative book sets forth and describes methods for the analysis of longitudinal data, 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.

Contents:

LONGITUDINAL DATA ANALYSIS; CONTENTS; Preface; Acknowledgments; Acronyms; 1 Introduction; 2 ANOVA Approaches to Longitudinal Data; 3 MANOVA Approaches to Longitudinal Data; 4 Mixed-Effects Regression Models for Continuous Outcomes; 5 Mixed-Effects Polynomial Regression Models; 6 Covariance Pattern Models; 7 Mixed Regression Models with Autocorrelated Errors; 8 Generalized Estimating Equations (GEE) Models; 9 Mixed-Effects Regression Models for Binary Outcomes; 10 Mixed-Effects Regression Models for Ordinal Outcomes; 11 Mixed-Effects Regression Models for Nominal Data

Notes:

Includes bibliographical references (pages 313-334) and index.

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Description based on print version record.

Local Notes:

Acquired for the Penn Libraries with assistance from the President Emeritus Martin Meyerson Fund.

Other Format:

Print version: Hedeker, Donald R., 1958- Longitudinal data analysis.

ISBN:

0470036478

9780470036471

0471420271

9780471420279

9780470036488

0470036486

Publisher Number:

99945804912

Access Restriction:

Restricted for use by site license.