Accelerated Failure Time Models

Accelerated Failure Time Models is a parametric regression framework in survival analysis that represents (typically the logarithm of) survival time as a linear function of covariates such that covariate effects act multiplicatively on the time scale—accelerating or decelerating the entire survival trajectory by a constant factor—rather than multiplicatively on the hazard function as in proportional hazards models.

427

Publications

23K

Citations

951

Authors

520

Institutions

Publications per year

2017–2026

103

Authors

951

  1. JZ
    Jiajia Zhang

    University of South Carolina, United States

    9 publications · 289 citations

    9

    h-index

  2. AK
    Arnošt Komárek

    Charles University, Czechia

    8 publications · 279 citations

    8

    h-index

  3. SM
    Shuangge Ma

    Yale University, United States

    8 publications · 428 citations

    8

    h-index

  4. JH
    Jian Huang

    University of Iowa, United States

    8 publications · 468 citations

    8

    h-index

  5. TH
    Timothy Hanson

    University of South Carolina, United States

    8 publications · 311 citations

    8

    h-index

1–5 of 951

Venues

  1. Statistics in Medicine

    38 publications · 2.7K citations

    23

    h-index

  2. Biometrics

    28 publications · 1.8K citations

    22

    h-index

  3. Biometrika

    24 publications · 2.7K citations

    22

    h-index

  4. Journal of the American Statistical Association

    26 publications · 2.4K citations

    21

    h-index

  5. IEEE Transactions on Reliability

    16 publications · 784 citations

    15

    h-index

1–5