Adding Events to a Markov Model Using DICE Simulation.

@article{Caro2018AddingET,
  title={Adding Events to a Markov Model Using DICE Simulation.},
  author={J. Jaime Caro and J{\"o}rgen M{\"o}ller},
  journal={Medical decision making : an international journal of the Society for Medical Decision Making},
  year={2018},
  volume={38 2},
  pages={235-245}
}
BACKGROUND Health care decisions are often made under uncertainty and modeling is used to inform the choices and possible consequences. State-transition ("Markov") models are commonly used but they represent the problem solely in terms of states; events are not explicitly considered. METHODS Discretely integrated condition event (DICE) simulation provides for both aspects that persist over time ("conditions") and for those happening at a point in time ("events"). A Markov model can be… CONTINUE READING
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