Survival Model Selection

Survival Model Selection is a methodological process within computational survival analysis that systematically evaluates and identifies the most appropriate survival model from a set of candidate models based on predefined performance criteria, statistical properties, and data characteristics.

99

Publications

5.6K

Citations

392

Authors

196

Institutions

Publications per year

2017–2026

26

Authors

392

  1. SM
    Shuangge Ma

    Yale University, United States

    3 publications · 96 citations

    3

    h-index

  2. RN
    Ramanathan Narayanan

    Northwestern University, United States

    2 publications · 68 citations

    2

    h-index

  3. AA
    Ankit Agrawal

    Northwestern University, United States

    2 publications · 68 citations

    2

    h-index

  4. HB
    Harald Binder

    Johannes Gutenberg University Mainz, Germany

    2 publications · 119 citations

    2

    h-index

  5. MA
    Michał Abrahamowicz

    McGill University, Canada

    2 publications · 83 citations

    2

    h-index

1–5 of 392

Venues

  1. Statistics in Medicine

    10 publications · 1.1K citations

    10

    h-index

  2. Medical Decision Making

    MDM · 4 publications · 669 citations

    4

    h-index

  3. Journal of Clinical Epidemiology

    4 publications · 436 citations

    4

    h-index

  4. Bioinformatics

    3 publications · 199 citations

    3

    h-index

  5. BMC Cancer

    2 publications · 92 citations

    2

    h-index

1–5