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README.md

SAVI - Sheffield Accelerated Value of Information

Authors

Mark Strong, Penny Breeze, Chloe Thomas and Alan Brennan.

What SAVI does

Using only PSA results from your model

In a matter of seconds from the SAVI online application you can generate:

  • Standardised assessment of uncertainty (C-E planes and CEACs)
  • Overall EVPI per patient, per jurisdiction per year and over your decision relevance horizon
  • Expected Value of Perfect Parameter Information (EVPPI) for single and groups of parameters

The online application is hosted at http://savi.shef.ac.uk/SAVI/

Citation

@Misc{SAVI2015,
  author =   {Mark Strong and Penny Breeze and Chloe Thomas and Alan Brennan},
  title =    {{SAVI} - {S}heffield {A}ccelerated {V}alue of {I}nformation},
  howpublished = {\url{https://github.com/Sheffield-Accelerated-VoI/SAVI}},
  year = {2015}
}

Funding Acknowledgements

The method for partial EVPI computation that is implemented in this web application arose from independent research supported by the National Institute for Health Research (Mark Strong, postdoctoral fellowship PDF-2012-05-258).

The views expressed in this publication are those of the authors and not necessarily those of the National Health Service, the National Institute for Health Research, or the Department of Health.

Copyright and License

Copyright (c) 2014, the SAVI authors (see AUTHORS.txt).

Licensed under the BSD 3-clause license (see LICENSE.txt)

Privacy

The SAVI website http://savi.shef.ac.uk/SAVI/ complies with The University of Sheffield's Privacy Policy