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SurvInt: a simple tool to obtain precise parametric survival extrapolations.

Daniel Gallacher
Published in: BMC medical informatics and decision making (2024)
SurvInt allows precise parametric survival models to be estimated and carried forward into economic models. It provides access to extrapolations that are consistent with multiple data sources such as observed data and clinical predictions, opening the door to precise exploration of regions of uncertainty/disagreement. SurvInt could avoid the need for post-hoc adjustments for complications such as treatment switching, which are often applied to obtain a plausible survival model but at the cost of introducing additional uncertainty. Phase III clinical trials are not designed with extrapolation in mind, and so it is sensible to consider alternative approaches to predict future survival that incorporate external information.
Keyphrases
  • clinical trial
  • phase iii
  • free survival
  • electronic health record
  • randomized controlled trial
  • healthcare
  • phase ii
  • risk factors
  • machine learning
  • drinking water
  • combination therapy