Alex Filby

Research consultant, York Health Economics Consortium

Author of: What is sensitivity analysis?

Alex graduated with an MSc in Health Psychology from Sheffield Hallam University and has since also completed a PGCert in Health Economics for Health Care Professionals from the University of York.

As a research consultant at York Health Economics Consortium (YHEC), Alex has been involved with projects for both private and public sector clients. She is a core member of the team that works on the NICE MTAC EAC contract within YHEC, and has contributed to a range of different economic models for a variety of clients. Alex’s research tasks include data analysis, qualitative data synthesis, economic evaluations and report writing.

Summary: What is sensitivity analysis?

  • While economic models are a useful tool to aid decision-making in healthcare, there remain several types of uncertainty associated with this method of analysis.
  • One-way sensitivity analysis allows a reviewer to assess the impact that changes in a certain parameter will have on the model’s conclusions.
  • Sensitivity analysis can help the reviewer to determine which parameters are the key drivers of a model’s results.
  • By reporting extensive outputs from sensitivity analysis, modellers are able to consider a wide range of scenarios and, as such, can increase the level of confidence that a reviewer will have in the model.
  • Probabilistic sensitivity analysis provides a useful technique to quantify the level of confidence that a decision maker has in the conclusions of an economic evaluation.