Accelerated Hazard Models

Accelerated Hazard Models is a class of survival regression models that generalizes the proportional hazards framework by allowing the effect of covariates to accelerate or decelerate the time scale of the hazard function, thereby altering the timing of failure events while preserving the baseline hazard structure.

54

Publications

3.6K

Citations

101

Authors

63

Institutions

Publications per year

2017–2026

5

Authors

101

  1. YQ
    Ying Qing Chen

    Fred Hutch Cancer Center, United States

    5 publications · 237 citations

    5

    h-index

  2. JZ
    Jiajia Zhang

    University of South Carolina, United States

    3 publications · 91 citations

    3

    h-index

  3. HT
    Harry Timmermans

    Eindhoven University of Technology, Netherlands

    3 publications · 150 citations

    3

    h-index

  4. YP
    Yingwei Peng

    Queen's University, Canada

    3 publications · 91 citations

    3

    h-index

  5. MW
    Mei‐Cheng Wang

    Johns Hopkins University, United States

    3 publications · 119 citations

    3

    h-index

1–5 of 101

Venues

  1. Biometrika

    9 publications · 1.2K citations

    9

    h-index

  2. 4

    h-index

  3. Biometrics

    3 publications · 71 citations

    3

    h-index

  4. Lifetime Data Analysis

    2 publications · 104 citations

    2

    h-index

  5. Statistics in Medicine

    2 publications · 75 citations

    2

    h-index

1–5