Joint modeling longitudinal semi-continuous data and survival, with application to longitudinal medical cost data.

@article{Liu2009JointML,
  title={Joint modeling longitudinal semi-continuous data and survival, with application to longitudinal medical cost data.},
  author={Lei Liu},
  journal={Statistics in medicine},
  year={2009},
  volume={28 6},
  pages={972-86}
}
It has been increasingly common to analyze simultaneously repeated measures and time to failure data. In this paper we propose a joint model when the repeated measures are semi-continuous, characterized by the presence of a large portion of zero values, as well as right skewness of non zero (positive) values. Examples include monthly medical costs, car insurance annual claims, or annual number of hospitalization days. A random effects two-part model is used to describe respectively the odds of… CONTINUE READING