The Total Value of Information of a Test

Stefan Felder () and Thomas Mayrhofer ()
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Stefan Felder: University of Basel
Thomas Mayrhofer: Stralsund University of Applied Sciences

Chapter Chapter 9 in Medical Decision Making, 2022, pp 193-208 from Springer

Abstract: Abstract We develop a dimensionless measure to characterize the utility of a test. The utility index lies between zero and one, where zero denotes a useless test and one a perfect one. The utility index depends on the prior probability of disease, and its maximum is equal to the Youden index. It also has similarities to the net-benefit of a test, an approach that is used in the decision curve analysis. We also present the concept of the total value of information of a test, which is an aggregate value of the information that generates over the entire prior probability of disease interval.

Date: 2022
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DOI: 10.1007/978-3-662-64654-0_9

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