Joint latent class models for longitudinal and time-to-event data: a review.

@article{ProustLima2014JointLC,
  title={Joint latent class models for longitudinal and time-to-event data: a review.},
  author={C{\'e}cile Proust-Lima and Mb{\'e}ry S{\'e}ne and Jeremy M. G. Taylor and H{\'e}l{\`e}ne Jacqmin-Gadda},
  journal={Statistical methods in medical research},
  year={2014},
  volume={23 1},
  pages={
          74-90
        }
}
Most statistical developments in the joint modelling area have focused on the shared random-effect models that include characteristics of the longitudinal marker as predictors in the model for the time-to-event. A less well-known approach is the joint latent class model which consists in assuming that a latent class structure entirely captures the correlation between the longitudinal marker trajectory and the risk of the event. Owing to its flexibility in modelling the dependency between the… CONTINUE READING
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