Need for speed: an efficient algorithm for calculation of single-parameter expected value of partial perfect information.

@article{Sadatsafavi2013NeedFS,
  title={Need for speed: an efficient algorithm for calculation of single-parameter expected value of partial perfect information.},
  author={Mohsen Mark Sadatsafavi and Nick Bansback and Zafar Zafar{\'i} and Mehdi Najafzadeh and Carlo Marra},
  journal={Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research},
  year={2013},
  volume={16 2},
  pages={438-48}
}
BACKGROUND The expected value of partial perfect information (EVPPI) is a theoretically justifiable and informative measure of uncertainty in decision-analytic cost-effectiveness models, but its calculation is computationally intensive because it generally requires two-level Monte Carlo simulation. We introduce an efficient, one-level simulation method for the calculation of single-parameter EVPPI. OBJECTIVE We show that under mild regularity assumptions, the expectation-maximization… CONTINUE READING
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