Item response models for joint analysis of quality of life and survival.

@article{Wang2002ItemRM,
  title={Item response models for joint analysis of quality of life and survival.},
  author={Chen Wang and Jeffrey Douglas and Susan D Anderson},
  journal={Statistics in medicine},
  year={2002},
  volume={21 1},
  pages={129-42}
}
A complication when assessing quality of life data longitudinally is that in many trials a substantial percentage of patients die before completing all of the assessments. Furthermore, a patient's risk of dying might be predicted by his current quality of life. This suggests jointly modelling quality of life and survival, and using this combined information to summarize the outcome. The aim of this paper is to address the complicated issues, such as death, present in analysing multiple-item… CONTINUE READING