Abstract
By means of a case study we describe the statistical analysis of repeated measures as they may be found in a typical quality-of-life trial that studies the effect of some intervention on quality-of-life. We will show that latent class models are a very useful to tool to discover patterns in the follow-up data. Once the patterns have been found, data-driven summary statistics can be defined that are more useful than simple pre-defined measures of response.
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© 2002 Springer Science+Business Media Dordrecht
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van Houwelingen, H.C. (2002). Latent Class Models to Describe Changes Over Time: A Case Study. In: Mesbah, M., Cole, B.F., Lee, ML.T. (eds) Statistical Methods for Quality of Life Studies. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3625-0_19
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DOI: https://doi.org/10.1007/978-1-4757-3625-0_19
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4419-5207-3
Online ISBN: 978-1-4757-3625-0
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