Value Of Information Thresholds

Value of Information Thresholds is a decision-analytic framework that establishes the maximum cost-effectiveness threshold at which acquiring additional information is justified by quantifying the expected reduction in decision uncertainty and its impact on health outcomes.

18

Publications

521

Citations

62

Authors

39

Institutions

Publications per year

2017–2026

4

Authors

62

  1. SE
    Simon Eckermann

    University of Wollongong, Australia

    2 publications · 71 citations

    2

    h-index

  2. AR
    Andrew R. Willan

    University of Toronto, Canada

    2 publications · 61 citations

    2

    h-index

  3. SK
    Seamus Kent

    University of Oxford, United Kingdom

    1 publications · 43 citations

    1

    h-index

  4. KE
    Karen Eggleston

    Stanford University, United States

    1 publications · 33 citations

    1

    h-index

  5. NL
    N. Lynn Henry

    University of Michigan, United States

    1 publications · 43 citations

    1

    h-index

1–5 of 62

Venues

  1. Medical Decision Making

    MDM · 3 publications · 70 citations

    3

    h-index

  2. PharmacoEconomics

    2 publications · 44 citations

    2

    h-index

  3. Annals of Operations Research

    1 publications · 15 citations

    1

    h-index

  4. Journal of Public Economics

    1 publications · 33 citations

    1

    h-index

  5. Clinical Trials

    1 publications · 33 citations

    1

    h-index

1–5