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Chapter 10 - Analysis of Longitudinal Intervention Studies

Published online by Cambridge University Press:  20 April 2023

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

In Chapter 10 the analysis of longitudinal intervention studies is discussed. Most attention is given to the analysis of data from a randomised controlled trial (RCT). In light of the discussion, a distinction is made between an RCT with one follow-up measurement and an RCT with more than one follow-up measurement. For both situations, it is argued that a (longitudinal) analysis of covariance must be used for the analysis of RCT data. With an analysis of covariance, an adjustment is made for the baseline value of the outcome variable and therefore, an adjustment is made for regression to the mean. Besides the analysis of RCT data, the chapter also includes a discussion about stepped wedge trials and about the analysis of intervention effects in observational longitudinal studies. Finally, a discussion of the difference in difference method is provided. Also in this chapter, all methods are accompanied by extensive real- life data examples.

Keywords

analysis of covarianceregression to the meansummary statisticsMANCOVAstepped wedge designsCox regression for recurrent eventspropensity scorespotential outcomesdifference in difference method
Type
Chapter
Information
Applied Longitudinal Data Analysis for Medical Science
A Practical Guide
 , pp. 164 - 200
Publisher: Cambridge University Press
Print publication year: 2023

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