A mixture model for longitudinal data with application to assessment of noncompliance.

@article{Pauler2000AMM,
  title={A mixture model for longitudinal data with application to assessment of noncompliance.},
  author={Donna K Pauler and Nan M. Laird},
  journal={Biometrics},
  year={2000},
  volume={56 2},
  pages={464-72}
}
In clinical trials of a self-administered drug, repeated measures of a laboratory marker, which is affected by study medication and collected in all treatment arms, can provide valuable information on population and individual summaries of compliance. In this paper, we introduce a general finite mixture of nonlinear hierarchical models that allows estimates of component membership probabilities and random effect distributions for longitudinal data arising from multiple subpopulations, such as… CONTINUE READING

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