Survival Modeling

Survival Modeling is a statistical methodology used to analyze time-to-event data, specifically distinguished by its focus on estimating the duration until one or more specified events occur within populations in fields such as actuarial science and pharmacoeconomic modeling.

12.7K

Publications

1.1M

Citations

38.2K

Authors

7K

Institutions

Publications per year

2017–2026

3.3K

Authors

38.2K

  1. DY
    D. Y. Lin

    University of North Carolina at Chapel Hill, United States

    49 publications · 11.7K citations

    39

    h-index

  2. PC
    Paul C. Lambert

    University of Leicester, United Kingdom

    69 publications · 5.3K citations

    38

    h-index

  3. HB
    Hermann Brenner

    Heidelberg University, Germany

    69 publications · 4.7K citations

    38

    h-index

  4. AA
    Anastasios A. Tsiatis

    North Carolina State University, United States

    48 publications · 7.2K citations

    36

    h-index

  5. PK
    Per Kragh Andersen

    University of Copenhagen, Denmark

    53 publications · 9.1K citations

    36

    h-index

1–5 of 38.2K

Venues

  1. Statistics in Medicine

    904 publications · 82.4K citations

    122

    h-index

  2. Biometrics

    683 publications · 78.6K citations

    120

    h-index

  3. Journal of the American Statistical Association

    443 publications · 122.2K citations

    117

    h-index

  4. Biometrika

    329 publications · 41.5K citations

    94

    h-index

  5. Journal of Clinical Oncology

    127 publications · 24.9K citations

    83

    h-index

1–5