Value of information analysis is an approach that can be used to help prioritise research. It centres around the idea that decisions are uncertain. If the ‘wrong’ decision is made then a loss is incurred. The probability of being ‘wrong’ multiplied by the loss if we are wrong is the expected loss due to uncertainty, or, to turn it around, it is the expected gain from eliminating uncertainty. We can use this principle to predict the return on investment in research and so to help guide research efforts to where they can yield the greatest benefit for the resources available.
Join Professor Ed Wilson, Professor of Health Economics and Health Policy, University of Exeter Medical School as he explains the principles and demonstrates how they can be used to inform the design of a clinical trial.
This online event is supported by the ACTA Health Economics Alongside Trials Special Interest Group.
Latest Resources
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ACTA Webinar: Pre-trial VOI analyses to guide trial prioritisation and data collection
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Webinar recording: Patient reported outcome endpoints: Optimal development, collection, analysis planning & reporting:
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Webinar recording: Quantifying Equity Impacts
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HEAT webinar recording: Design of economic evaluations along the development process
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HEAT Webinar Recording-Flexible survival models and why we (might) need them
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HEAT Webinar Recording- Use of Administrative Data for Measuring Events and Healthcare Use
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HEAT Webinar Recording- Economic Evaluation Alongside Adaptive Trials
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A pilot study to prospectively estimate the health and economic return on research investment
Latest Events
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ACTA Health economics alongside trials webinar: Identifying and addressing trial design issues early
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Patient reported outcome (PRO) endpoints: Optimal development, collection, analysis planning and reporting
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Webinar: Quantifying Equity Impacts
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Economic Evaluation Alongside Adaptive Trials webinar – 22 November