Longitudinal Data Analysis

Autor: Donald Hedeker, Robert D. Gibbons

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Legare: Copertă tare

Editura: John Wiley & Sons Inc

Disponibilitate: În depozitul extern

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Longitudinal data analysis for biomedical and behavioral sciences This innovative book sets forth an...

Informații despre carte

Autor

Donald Hedeker, Robert D. Gibbons

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2006

Pagini

360

EAN

9780471420279

ISBN

0471420271

Enbook ID

04890774

Editura

John Wiley & Sons Inc

Greutate

628

Dimensiuni

162 x 242 x 22

Descriere completă

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.

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