Application of Random-Effects Pattern-Mixture Models for Missing Data in Longitudinal Studies

@inproceedings{Hedeker1997ApplicationOR,
  title={Application of Random-Effects Pattern-Mixture Models for Missing Data in Longitudinal Studies},
  author={Donald Hedeker and Robert D. Gibbons},
  year={1997}
}
Random-effects regression models have become increasingly popular for analysis of longitudinal data. A key advantage of the random-effects approach is that it can be applied when subjects are not measured at the same number of timepoints. In this article we describe use of random-effects pattern-mixture models to further handle and describe the influence of missing data in longitudinal studies. For this approach, subjects are first divided into groups depending on their missing-data pattern and… CONTINUE READING
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