Utility Scoring Algorithms

Utility Scoring Algorithms is a computational method that assigns numerical values to health states based on preference-based metrics derived from standardized utility elicitation techniques, distinguishing it by enabling the transformation of elicited health state descriptions into cardinal utility scores for use in cost-utility analysis and health outcomes measurement.

195

Publications

13.7K

Citations

806

Authors

424

Institutions

Publications per year

2017–2026

49

Authors

806

  1. JB
    John Brazier

    University of Sheffield, United Kingdom

    13 publications · 1.4K citations

    12

    h-index

  2. GC
    Gang Chen

    Monash University, Australia

    11 publications · 527 citations

    11

    h-index

  3. RV
    Rosalie Viney

    University of Technology Sydney, Australia

    8 publications · 537 citations

    8

    h-index

  4. AS
    A. Simon Pickard

    University of Illinois Chicago, United States

    8 publications · 486 citations

    8

    h-index

  5. DF
    David Feeny

    McMaster University, Canada

    8 publications · 417 citations

    8

    h-index

1–5 of 806

Venues

  1. Quality of Life Research

    28 publications · 1.4K citations

    23

    h-index

  2. Value in Health

    22 publications · 1.6K citations

    20

    h-index

  3. Medical Decision Making

    MDM · 18 publications · 1.8K citations

    16

    h-index

  4. Health and Quality of Life Outcomes

    HQLO · 13 publications · 481 citations

    12

    h-index

  5. PharmacoEconomics

    10 publications · 787 citations

    10

    h-index

1–5