Applied Longitudinal Data Analysis for Medical Science: A Practical Guide

This book is essential for non-statisticians and researchers working with longitudinal data from medical studies, covering simple and sophisticated methods for data analysis. It provides datasets and an overview of software packages to aid in interpretation of results.

Format: Paperback / softback
Length: 300 pages
Publication date: 27 April 2023
Publisher: Cambridge University Press

This comprehensive and updated new edition is a must-read for non-statisticians and researchers working with longitudinal data from medical studies. Using non-technical language, the book delves into 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.

To enhance the learning experience, datasets used throughout the book are provided, allowing readers to re-analyse the examples and deepen their understanding of the material. Additionally, an extensive and practical overview of, and comparison between, different software packages is offered, empowering readers to utilize this book as a valuable manual in their daily work without requiring a strong background in statistics.

By mastering the techniques discussed in this book, non-statisticians and researchers will gain the skills necessary to effectively analyze longitudinal data from medical studies, making informed conclusions and contributing to the field of healthcare.

Weight: 479g
Dimension: 254 x 178 x 14 (mm)
ISBN-13: 9781009288033
Edition number: 3 Revised edition