A Bayesian approach to joint analysis of longitudinal measurements and competing risks failure time data.

@article{Hu2009ABA,
  title={A Bayesian approach to joint analysis of longitudinal measurements and competing risks failure time data.},
  author={Wenhua Hu and Gang Li and N. Li},
  journal={Statistics in medicine},
  year={2009},
  volume={28 11},
  pages={1601-19}
}
In this paper, we develop a Bayesian method for joint analysis of longitudinal measurements and competing risks failure time data. The model allows one to analyze the longitudinal outcome with nonignorable missing data induced by multiple types of events, to analyze survival data with dependent censoring for the key event, and to draw inferences on multiple endpoints simultaneously. Compared with the likelihood approach, the Bayesian method has several advantages. It is computationally more… CONTINUE READING

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