Applied Longitudinal Analysis

Name: Applied Longitudinal Analysis
Brand: Unknown
SKU: 9780470380277
Price: 283.99 NZD
Availability: InStock

By Garrett M. Fitzmaurice and Nan M. Laird and James H. Ware

Series: Wiley Series in Probability and Statistics

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Summary

Applied Longitudinal Analysis by Garrett M. Fitzmaurice, Nan M. Laird, and James H. Ware is a comprehensive guide focusing on statistical methods for analysing longitudinal data. It covers various models and techniques essential for researchers in medical and social sciences to understand changes over time. This resource serves as a practical tool, bridging theory and real-world applications with a strong emphasis on interpretation and software implementation.
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Format: Hardback

$283⁹⁹

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Applied Longitudinal Analysis

$283⁹⁹

Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book may appeal to you if you have a keen interest in statistical methods with a focus on longitudinal data analysis. It's particularly suited for those involved in scientific research or healthcare, where understanding changes over time is crucial. The authors offer practical insights and methods that can be valuable for applying statistical analysis in real-world scenarios.

Applied Longitudinal Analysis

Since the publication of the first edition, the authors have solicited feedback from both the instructors who use the book as a text for their courses as well as the researchers who use the book as a resource for their research.

Description

Praise for the First Edition

". . . [this book] should be on the shelf of everyone interested in . . . longitudinal data analysis."
—Journal of the American Statistical Association

Features newly developed topics and applications of the analysis of longitudinal data

Applied Longitudinal Analysis, Second Edition presents modern methods for analyzing data from longitudinal studies and now features the latest state-of-the-art 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 power

Each 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 upper-undergraduate 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.

Series: Wiley Series in Probability and Statistics

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Book 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?

Applied Longitudinal Analysis is praised for its well-organised and clearly written text, making it accessible to researchers of varying statistical expertise. It is recommended as a valuable resource for biostatisticians, clinicians, and health researchers without extensive statistical training. The book covers a broad range of topics and serves as a useful reference for professionals in medical, public health, pharmaceutical, social, and behavioural sciences interested in longitudinal data analysis.

Book Details

INFORMATION

ISBN: 9780470380277

Publisher: John Wiley & Sons Inc

Format: Hardback

Date Published: 30 September 2011

Country: United States

Imprint: John Wiley & Sons Inc

Edition: 2nd edition

Illustration: Graphs: 51 B&W, 0 Color

Audience: Professional and scholarly

DIMENSIONS

Spine width: 33.0mm

Width: 152.0mm

Height: 234.0mm

Weight: 1134g

Pages: 752

Collections

Education & Reference Garrett M. Fitzmaurice James H. Ware Nan M. Laird Non-Fiction Science & Nature Series: Wiley Series in Probability and Statistics

About the Author

Garrett M. Fitzmaurice, ScD, is Professor in the Departmentof Biostatistics at the Harvard School of Public Health andDirector of the Laboratory for Psychiatric Biostatistics at McLeanHospital. A Fellow of the American Statistical Association andadvisor for the Wiley Series in Probability and Statistics, Dr.Fitzmaurice's areas of research interest include statisticalmethods for analyzing discrete longitudinal data and methods forhandling missing data. Nan M. Laird, PhD, is Professor of Biostatistics at theHarvard School of Public Health. A Fellow of the AmericanStatistical Association and Institute of Mathematical Sciences, shehas published extensively in the areas of statistical genetics,longitudinal studies, missing or incomplete data, and analysis ofmultiple informant data. James H. Ware, PhD, is Frederick Mosteller Professor ofBiostatistics at the Harvard School of Public Health. A Fellow ofthe American Statistical Association and statistical consultant tothe New England Journal of Medicine, he has made significantcontributions to the development of statistical methods for thedesign and analysis of longitudinal studies.