voi
Expected Value of Information
Methods to calculate the expected value of information from a decision-analytic model. This includes the expected value of perfect information (EVPI), partial perfect information (EVPPI) and sample information (EVSI), and the expected net benefit of sampling (ENBS). A range of alternative computational methods are provided under the same user interface. See Heath et al. (2024) <doi:10.1201/9781003156109>, Jackson et al. (2022) <doi:10.1146/annurev-statistics-040120-010730>.
README
# The Chemotherapy Model for "Value of Information for Health Economic Evalulations", Heath, Kunst and Jackson (2021). This model is structured based on "A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling" by Alarid-Escudero, F., Krijkamp, E., Pechlivanoglou, P., Jalal, H., Kao, S., Yang, A. and Enns, E. This model has been adapted from a model presented in "Calculating the Expected Value of Sample Information Using Efficient Nested Monte Carlo: A Tutorial" by Heath, A. and Baio G. This will be used as the running example throughout the book.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.3 |
2026-04-09 windows/windows R-4.5 | voi_1.0.3.zip |
4.1 MiB |