Additive Hazard Models

Additive Hazard Models is a type of survival analysis model in which the hazard function is expressed as the sum of a baseline hazard and a linear combination of covariate effects, differing from multiplicative models by assuming an additive rather than proportional relationship between covariates and the hazard rate.

117

Publications

5.8K

Citations

364

Authors

269

Institutions

Publications per year

2017–2026

37

Variants

Additive Hazards Models

Authors

364

  1. TM
    Torben Martinussen

    University of Copenhagen, Denmark

    7 publications · 348 citations

    7

    h-index

  2. JS
    Jianguo Sun

    University of Missouri, United States

    4 publications · 102 citations

    4

    h-index

  3. GY
    Guosheng Yin

    University of Hong Kong, Hong Kong SAR China

    4 publications · 127 citations

    4

    h-index

  4. SV
    Stijn Vansteelandt

    Ghent University, Belgium

    4 publications · 144 citations

    4

    h-index

  5. TH
    Tao Hu

    Capital Normal University, China

    3 publications · 68 citations

    3

    h-index

1–5 of 364

Venues

  1. Statistics in Medicine

    12 publications · 1.2K citations

    11

    h-index

  2. Biometrika

    9 publications · 529 citations

    9

    h-index

  3. Biometrics

    7 publications · 345 citations

    7

    h-index

  4. Biostatistics

    5 publications · 220 citations

    5

    h-index

  5. 4

    h-index

1–5