HE@Cam Seminar: Anna Heath - Value of Sample Information as a Tool for Clinical Trial Design

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• Anna Heath, University College London
• Monday 23 April 2018, 15:00-16:00
• Large Seminar Room, 1st Floor, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge.

If you have a question about this talk, please contact David Wastlund.

Health Economics @ Cambridge are happy to present Anna Heath, UCL , for a seminar on the development of a new tool to calculate the Estimated Value of Sample Information (EVSI). The seminar will discuss EVSI within the broader Value of Information (VoI) framework, and how the new tool can be used for determining which research is worth undertaking.

Time: 15:00-16:00 Monday 23rd April 2018 Venue: Large Seminar Room, 1st Floor, Institute of Public Health, University Forvie Site, Robinson Way, Cambridge

Information can also be found here.

About the seminar: The Expected Value of Sample Information (EVSI) uses evidence about the costs and effectiveness of different interventions to calculate the economic value of specific trial designs. Despite the potential benefits of using the EVSI , in terms of finding economically valuable trial designs, practical applications have been limited due to computational difficulties and ease of interpreting the results. Recently, methods have been developed to allow for the efficient computation of the EVSI across different trial designs. This allows researchers to use the EVSI as a tool for clinical trial design. This talk will present a recent method for EVSI calculation that is based on variance calculations and Bayesian updating alongside an R package that has been developed to aid with EVSI calculations. An example based on the HomeHealth feasibility study will be demonstrated to show how the EVSI can be used in a real world setting. We also demonstrate the capabilities of an R Shiny tool that has been developed for the presentation of the EVSI to key stakeholders.

Anna Heath: Anna is undertaking a PhD at University College London (UCL) applying statistical methods to health economic evaluations within the Statistics for Health Economic Evaluations Group. Her main research interests are applying Bayesian statistical analysis to health economic evaluations. She is specifically interested in decision making under uncertainty using Value of Information methods for sensitivity analysis and clinical trial design.

All welcome. Part of the HE@Cam seminars 2017/18 series.

For any questions, please contact healtheconomics@medschl.cam.ac.uk

This talk is part of the Health Economics @ Cambridge series.

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