Applied Longitudinal Data Analysis for Medical Science

Jos W R Twisk

ISBN 10: 1009288032 / ISBN 13: 9781009288033

Published by Cambridge University Press Apr 2023, 2023

About this Item

Neuware - 'In this book the most important methods available for longitudinal data analysis are discussed. This discussion includes simple methods such as the paired t-test and summary statistics, and also more sophisticated methods such as generalized estimating equations and mixed model analysis. A distinction is made between longitudinal data analysis with continuous, dichotomous, categorical and other outcome variables'--.

Seller Inventory # 9781009288033

Bibliographic Details

• Title: Applied Longitudinal Data Analysis for Medical Science
• Publisher: Cambridge University Press Apr 2023
• Publication Date: 2023
• Language: English
• ISBN 10: 1009288032
• ISBN 13: 9781009288033
• Binding: Taschenbuch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 252W x 176H x 15D millimeters 252 millimeters width by 176 millimeters height by 15 millimeters depth
• Weight: 494 grams

About this title

Synopsis

Essential for non-statisticians and researchers working with longitudinal data from medical studies, this updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided. Readers will be able to use this book as a practical manual in their everyday work without needing a strong background in statistics.

About the Author

Jos W. R. Twisk is a Professor in the Department of Epidemiology and Data Science at Amsterdam Umc, Amsterdam, The Netherlands. He specialises in the methodological field of longitudinal data analysis and multilevel/mixed model analysis, and is head of the expertise center for Applied Longitudinal Data Analysis at the Amsterdam Umc.