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.
Latest Resource
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Webinar recording: The economics of trials – reducing waste in research
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Webinar recording: Identifying and addressing trial design issues early
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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