Failure-time Models

Failure-Time Models is a statistical modeling framework that specifies the distribution of time until an event of interest occurs, distinguished from other time-to-event models by its focus on the timing and determinants of discrete transitions or failures in continuous time.

1.1K

Publications

84K

Citations

2.3K

Authors

1K

Institutions

Publications per year

2017–2026

183

Authors

2.3K

  1. RL
    Ross L. Prentice

    Fred Hutch Cancer Center, United States

    19 publications · 16.4K citations

    18

    h-index

  2. JS
    Jianguo Sun

    University of Missouri, United States

    23 publications · 592 citations

    14

    h-index

  3. WQ
    William Q. Meeker

    Iowa State University, United States

    14 publications · 1.5K citations

    14

    h-index

  4. JD
    John D. Kalbfleisch

    University of Waterloo, Canada

    12 publications · 13.9K citations

    12

    h-index

  5. LJ
    L. J. Wei

    Harvard University, United States

    11 publications · 2K citations

    11

    h-index

1–5 of 2.3K

Venues

  1. Statistics in Medicine

    68 publications · 5.8K citations

    35

    h-index

  2. IEEE Transactions on Reliability

    69 publications · 3.1K citations

    33

    h-index

  3. Biometrika

    46 publications · 7.1K citations

    31

    h-index

  4. Journal of the American Statistical Association

    43 publications · 5.3K citations

    29

    h-index

  5. Biometrics

    42 publications · 16K citations

    27

    h-index

1–5