Computational Survival Analysis

Computational Survival Analysis is a specialized field within statistical computing that focuses on the development and application of computational methods for analyzing time-to-event data, particularly involving censored observations, to estimate survival probabilities and model hazard functions.

251

Publications

21.9K

Citations

1.1K

Authors

484

Institutions

Publications per year

2017–2026

117

Authors

1.1K

  1. PC
    Paul C. Lambert

    University of Leicester, United Kingdom

    3 publications · 204 citations

    3

    h-index

  2. XZ
    Xinyan Zhang

    University of Alabama at Birmingham, United States

    3 publications · 106 citations

    3

    h-index

  3. MJ
    Michael J. Crowther

    University of Leicester, United Kingdom

    3 publications · 200 citations

    3

    h-index

  4. JH
    Joseph H. Schwab

    Massachusetts General Hospital, United States

    3 publications · 163 citations

    3

    h-index

  5. MS
    Martin Schumacher

    University of Freiburg, Germany

    3 publications · 374 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Statistics in Medicine

    12 publications · 1.3K citations

    12

    h-index

  2. Computer Methods and Programs in Biomedicine

    10 publications · 523 citations

    10

    h-index

  3. Bioinformatics

    11 publications · 522 citations

    10

    h-index

  4. Journal of Statistical Software

    JSS · 6 publications · 2.8K citations

    6

    h-index

  5. BMC Bioinformatics

    6 publications · 899 citations

    6

    h-index

1–5