• Corpus ID: 231839814

Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach

@inproceedings{Amro2021IncompletelyON,
  title={Incompletely observed nonparametric factorial designs with repeated measurements: A wild bootstrap approach},
  author={Lubna Amro and Frank Konietschke and Markus Pauly},
  year={2021}
}
In many life science experiments or medical studies, subjects are repeatedly observed and measurements are collected in factorial designs with multivariate data. The analysis of such multivariate data is typically based on multivariate analysis of variance (MANOVA) or mixed models, requiring complete data, and certain assumption on the underlying parametric distribution such as continuity or a specific covariance structure, e.g., compound symmetry. However, these methods are usually not… 
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