Bayesian semiparametric regression for longitudinal binary processes with missing data.

@article{Su2008BayesianSR,
  title={Bayesian semiparametric regression for longitudinal binary processes with missing data.},
  author={Li Su and Joseph W. Hogan},
  journal={Statistics in medicine},
  year={2008},
  volume={27 17},
  pages={3247-68}
}
Longitudinal studies with binary repeated measures are widespread in biomedical research. Marginal regression approaches for balanced binary data are well developed, whereas for binary process data, where measurement times are irregular and may differ by individuals, likelihood-based methods for marginal regression analysis are less well developed. In this article, we develop a Bayesian regression model for analyzing longitudinal binary process data, with emphasis on dealing with missingness… CONTINUE READING

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