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Chapter 2 - Continuous Outcome Variables

Published online by Cambridge University Press:  20 April 2023

Jos W. R. Twisk
Affiliation:
Amsterdam University Medical Centers
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Summary

In Chapter 2, simple methods to analyse longitudinal data are introduced. First, methods for analysing the change over time for longitudinal studies with two repeated measurements. Second, methods for analysing the change over time for longitudinal studies with more than two repeated measurements. And finally, methods for analysing the difference in the change over time between groups for longitudinal studies with both two and more than two repeated measurements. Although both the parametric and non-parametric versions of these methods are discussed, a very detailed explanation of GLM for repeated measures is provided. All methods are accompanied by extensive real-life data examples.

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Publisher: Cambridge University Press
Print publication year: 2023

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  • Continuous Outcome Variables
  • Jos W. R. Twisk, Amsterdam University Medical Centers
  • Book: Applied Longitudinal Data Analysis for Medical Science
  • Online publication: 20 April 2023
  • Chapter DOI: https://doi.org/10.1017/9781009288002.003
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  • Continuous Outcome Variables
  • Jos W. R. Twisk, Amsterdam University Medical Centers
  • Book: Applied Longitudinal Data Analysis for Medical Science
  • Online publication: 20 April 2023
  • Chapter DOI: https://doi.org/10.1017/9781009288002.003
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Continuous Outcome Variables
  • Jos W. R. Twisk, Amsterdam University Medical Centers
  • Book: Applied Longitudinal Data Analysis for Medical Science
  • Online publication: 20 April 2023
  • Chapter DOI: https://doi.org/10.1017/9781009288002.003
Available formats
×