Survival Functions

Survival Functions is a mathematical function in survival analysis that specifies the probability a subject survives beyond a specified time, distinguishing it from other time-to-event functions by its focus on the complement of the cumulative distribution function of failure times.

3.2K

Publications

278.1K

Citations

4.8K

Authors

1.8K

Institutions

Publications per year

2017–2026

618

Variants

Survival Function

Authors

4.8K

  1. GM
    Gauss M. Cordeiro

    Universidade Federal de Pernambuco, Brazil

    55 publications · 2.9K citations

    30

    h-index

  2. GG
    G. G. Hamedani

    Marquette University, United States

    28 publications · 1.3K citations

    22

    h-index

  3. NB
    N. Balakrishnan

    McMaster University, Canada

    35 publications · 1.6K citations

    22

    h-index

  4. EM
    Edwin M. M. Ortega

    Universidade de São Paulo, Brazil

    31 publications · 1.7K citations

    19

    h-index

  5. HM
    Haitham M. Yousof

    Benha University, Egypt

    23 publications · 956 citations

    18

    h-index

1–5 of 4.8K

Venues

  1. Journal of the American Statistical Association

    137 publications · 20.5K citations

    59

    h-index

  2. Biometrics

    102 publications · 22.9K citations

    50

    h-index

  3. Technometrics

    87 publications · 19K citations

    47

    h-index

  4. Biometrika

    99 publications · 9.5K citations

    46

    h-index

  5. Statistics in Medicine

    101 publications · 10K citations

    45

    h-index

1–5