Surrogate Endpoint Modeling

Surrogate Endpoint Modeling is a type of cost-effectiveness modeling that uses surrogate endpoints as proxy measures for clinically meaningful outcomes to estimate the long-term effectiveness of health interventions when direct evidence is limited or unavailable.

112

Publications

6.7K

Citations

503

Authors

268

Institutions

Publications per year

2017–2026

28

Authors

503

  1. MB
    Marc Buyse

    International Drug Development Institute (Belgium), Belgium

    11 publications · 662 citations

    11

    h-index

  2. GM
    Geert Molenberghs

    Hasselt University, Belgium

    11 publications · 533 citations

    10

    h-index

  3. TB
    Tomasz Burzykowski

    Hasselt University, Belgium

    10 publications · 614 citations

    10

    h-index

  4. PB
    Peter B. Gilbert

    Fred Hutch Cancer Center, United States

    8 publications · 524 citations

    8

    h-index

  5. AA
    Ariel Alonso

    Hasselt University, Belgium

    6 publications · 97 citations

    6

    h-index

1–5 of 503

Venues

  1. Biometrics

    13 publications · 853 citations

    12

    h-index

  2. Statistics in Medicine

    13 publications · 1.1K citations

    12

    h-index

  3. Statistical Methods in Medical Research

    4 publications · 147 citations

    4

    h-index

  4. Biostatistics

    4 publications · 91 citations

    4

    h-index

  5. PubMed

    Repository · 3 publications · 92 citations

    3

    h-index

1–5