Applied Longitudinal Data Analysis for Medical Science
A Practical Guide
3rd Edition
$65.00 USD
- Author: Jos W. R. Twisk, Amsterdam University Medical Centers
- Date Published: April 2023
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
- format: Adobe eBook Reader
- isbn: 9781009288026
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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.
Read more- An applied approach to longitudinal data analysis and the use of non-technical language allows readers to use the book as a practical manual in their everyday work, without the need for a strong background in statistics
- The text is supplemented with figures and examples of computer software outputs to aid reader understanding of the techniques presented and allow them to compare available software packages
- 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
- Material has been updated to ensure explanations are as clear as possible and several new chapters are included, discussing the use of hybrid models, causality in observational longitudinal studies and the analysis of outcome variables with floor or ceiling effects
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×Product details
- Edition: 3rd Edition
- Date Published: April 2023
- format: Adobe eBook Reader
- isbn: 9781009288026
- availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
1. Introduction
2. Continuous outcome variables
3. Continuous outcome variables – regression based methods
4. The modelling of time
5. Models to disentangle the between- and within-subjects relationship
6. Causality in observational longitudinal studies
7. Dichotomous outcome variables
8. Categorical and count outcome variables
9. Outcome variables with floor or ceiling effects
10. Analysis of longitudinal intervention studies
11. Missing data in longitudinal studies
12. Sample size calculations
13. Software for longitudinal data analysis.
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