Joint modelling of longitudinal and survival data: incorporating delayed entry and an assessment of model misspecification

@inproceedings{Crowther2016JointMO,
  title={Joint modelling of longitudinal and survival data: incorporating delayed entry and an assessment of model misspecification},
  author={Michael J Crowther and Therese M.‐L Andersson and Paul C. Lambert and Keith R. Abrams and Keith N Humphreys},
  booktitle={Statistics in medicine},
  year={2016}
}
A now common goal in medical research is to investigate the inter-relationships between a repeatedly measured biomarker, measured with error, and the time to an event of interest. This form of question can be tackled with a joint longitudinal-survival model, with the most common approach combining a longitudinal mixed effects model with a proportional hazards survival model, where the models are linked through shared random effects. In this article, we look at incorporating delayed entry (left… CONTINUE READING
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