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Praise for the First Edition'. . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis.'Journal of the American Statistical AssociationFeatures newly developed topics and applications of the analysis of longitudinal dataApplied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest stateoftheart techniques. The book emphasizes practical, rather than theoretical, aspects of methods for the analysis of diverse types of longitudinal data that can be applied across various fields of study, from the health and medical sciences to the social and behavioral sciences.The authors incorporate their extensive academic and research experience along with various updates that have been made in response to reader feedback. The Second Edition features six newly added chapters that explore topics currently evolving in the field, including: Fixed effects and mixed effects models Marginal models and generalized estimating equations Approximate methods for generalized linear mixed effects models Multiple imputation and inverse probability weighted methods Smoothing methods for longitudinal data Sample size and powerEach chapter presents methods in the setting of applications to data sets drawn from the health sciences. New problem sets have been added to many chapters, and a related website features sample programs and computer output using SAS, Stata, and R, as well as data sets and supplemental slides to facilitate a complete understanding of the material.With its strong emphasis on multidisciplinary applications and the interpretation of results, Applied Longitudinal Analysis, Second Edition is an excellent book for courses on statistics in the health and medical sciences at the upperundergraduate and graduate levels. The book also serves as a valuable reference for researchers and professionals in the medical, public health, and pharmaceutical fields as well as those in social and behavioral sciences who would like to learn more about analyzing longitudinal data.
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- Q: What is the main focus of 'Applied Longitudinal Analysis'? A: 'Applied Longitudinal Analysis' focuses on modern methods for analyzing data from longitudinal studies, emphasizing practical applications across various fields such as health, medical, social, and behavioral sciences.
- Q: Who are the authors of this book? A: The book is authored by Garrett M. Fitzmaurice, along with his co-authors, who bring extensive academic and research experience in the field.
- Q: What new topics are covered in the second edition? A: The second edition includes six newly added chapters covering topics such as fixed effects and mixed effects models, marginal models, generalized estimating equations, and smoothing methods for longitudinal data.
- Q: Is this book suitable for beginners in longitudinal data analysis? A: While the book is comprehensive and covers advanced topics, it is suitable for upper-undergraduate and graduate students who have a foundational understanding of statistics.
- Q: Does the book provide practical examples and applications? A: Yes, each chapter presents methods in the context of applications to real data sets, particularly drawn from health sciences, enhancing practical understanding.
- Q: What formats is the book available in? A: 'Applied Longitudinal Analysis' is available in hardcover format and consists of 752 pages filled with valuable content for readers.
- Q: Are there supplementary materials available for this book? A: Yes, the authors provide a related website featuring sample programs, computer output using SAS, Stata, and R, as well as data sets and supplemental slides.
- Q: What is the publication date of the second edition? A: The second edition of 'Applied Longitudinal Analysis' was published on August 30, 2011.
- Q: What is the condition of the book when purchased? A: The book is sold in new condition, ensuring that readers receive a pristine copy.
- Q: How does this book benefit researchers and professionals? A: The book serves as a valuable reference for researchers and professionals in medical, public health, and pharmaceutical fields, aiding their understanding of longitudinal data analysis.