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BSU Seminar Series: “Quick & clean: computationally efficient methods for Value of Information measures”

September 17 @ 2:00 pm - 3:00 pm

Speaker: Gianluca Baio, UCL

 

Title: “Quick & clean: computationally efficient methods for Value of Information measures”

 

Abstract: Recently, there has been much research devoted to developing computationally efficient methods for various measures of the Value of Information in health economics, including the Expected Value of Partial Information (EVPPI) and the Expected Value of Sample Information (EVSI).

I will present two sets of methods, one based on computationally efficient Gaussian Process regression based on Integrated Nested Laplace Approximation to compute the EVPPI and the other based on “moment-matching” to compute the EVSI. Both methods draw on existing methodologies but expand them by providing general-purpose algorithms that can be applied on a wide range of real-life modelling structures. I will present the methods using toy and real-life examples and discuss their advantages and limitations with respect to applicability in practice.

Details

Date:
September 17
Time:
2:00 pm - 3:00 pm
Event Categories:
,

Organiser

MRC Biostatistics Unit
Phone:
01223 768263
Email:
research_admin@mrc-bsu.cam.ac.uk

Venue

Large Seminar Room, IPH
Institute of Public Health, Forvie Site
Cambridge, CB2 0SR United Kingdom
+ Google Map
Website:
www.iph.cam.ac.uk