Random Censoring

Random Censoring is a type of censoring mechanism in survival analysis where the censoring time is independent of the event time, such that the probability of being censored at any given time does not depend on the unobserved failure time.

289

Publications

13.2K

Citations

551

Authors

329

Institutions

Publications per year

2017–2026

43

Authors

551

  1. NB
    N. Balakrishnan

    McMaster University, Canada

    6 publications · 306 citations

    6

    h-index

  2. MH
    Myles Hollander

    Florida State University, United States

    5 publications · 243 citations

    5

    h-index

  3. HK
    Hare Krishna

    Chaudhary Charan Singh University, India

    5 publications · 129 citations

    5

    h-index

  4. RL
    Richard L. Dykstra

    University of Iowa, United States

    5 publications · 138 citations

    5

    h-index

  5. MG
    Michael G. Akritas

    Pennsylvania State University, United States

    5 publications · 227 citations

    5

    h-index

1–5 of 551

Venues

  1. Biometrika

    27 publications · 1.8K citations

    21

    h-index

  2. Journal of the American Statistical Association

    15 publications · 781 citations

    14

    h-index

  3. The Annals of Statistics

    15 publications · 1.5K citations

    14

    h-index

  4. Biometrics

    17 publications · 1.2K citations

    13

    h-index

  5. Statistics in Medicine

    12 publications · 404 citations

    12

    h-index

1–5