Longitudinal Data Analysis
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Longitudinal Data Analysis
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Longitudinal Data Analysis
This text presents and describes methods for analysis of longitudinal data, with a strong emphasis on application of these methods to problems in the biomedical and behavioral sciences. Applied Longitudinal Data Analysis is geared more toward users, and not developers, of statistics.
This text presents and describes methods for analysis of longitudinal data, with a strong emphasis on the application of these methods to problems in the biomedical and behavioural sciences. Applied Longitudinal Data Analysis is geared more towards users, not developers, of statistics.
Specific statistical procedures that the book will describe include: repeated measures analysis of variance, multivariate analysis of variance for repeated measures, random-effects regression models (RRM), covariance-structure models, and generalized-estimating equations (GEE) models.
Series: Wiley Series in Probability and Statistics
View allBook Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Longitudinal Data Analysis by Donald Hedeker and Robert D. Gibbons is praised as a valuable resource for both students and practitioners interested in the analysis of longitudinal data. It is highly recommended for its innovation and thorough approach, making a significant contribution to fields including statistics, biopharmaceutical studies, and psychology. The book is considered one of the leading texts on the subject, noted for its practical classroom applications.
Book Details
INFORMATION
ISBN: 9780471420279
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 09 May 2006
Country: United States
Imprint: Wiley-Interscience
Illustration: Graphs: 76 B&W, 0 Color
Audience: Professional and scholarly
DIMENSIONS
Spine width: 25.0mm
Width: 163.0mm
Height: 246.0mm
Weight: 676g
Pages: 368
About the Author
DONALD HEDEKER, PHD, is Professor of Biostatistics in the Division of Epidemiology and Biostatistics, School of Public Health at the University of Illinois at Chicago. He is a Fellow of the American Statistical Association and the author of numerous peer-reviewed papers.
ROBERT D. GIBBONS, PHD, is Director of the Center for Health Statistics; Professor of Biostatistics in the Division of Epidemiology and Biostatistics, School of Public Health; and Professor of Psychiatry in the College of Medicine, all at the University of Illinois at Chicago. He is a Fellow of the American Statistical Association and the author of numerous peer-reviewed papers.
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