A review of statistical updating methods for clinical prediction models.

@article{Su2018ARO,
  title={A review of statistical updating methods for clinical prediction models.},
  author={Ting-Li Su and Thomas Jaki and Graeme L Hickey and Iain E. Buchan and Matthew Sperrin},
  journal={Statistical methods in medical research},
  year={2018},
  volume={27 1},
  pages={185-197}
}
A clinical prediction model is a tool for predicting healthcare outcomes, usually within a specific population and context. A common approach is to develop a new clinical prediction model for each population and context; however, this wastes potentially useful historical information. A better approach is to update or incorporate the existing clinical prediction models already developed for use in similar contexts or populations. In addition, clinical prediction models commonly become… CONTINUE READING
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