Predictive Hazard Modeling

Predictive Hazard Modeling is a computational framework that belongs to the class of temporal risk assessment methods, distinguished by its explicit integration of time-varying covariates and probabilistic forecasting techniques to estimate the dynamic likelihood of adverse events over time.

38

Publications

2.8K

Citations

154

Authors

94

Institutions

Publications per year

2017–2026

12

Authors

154

  1. YQ
    Yi Qi

    Texas Southern University, United States

    1 publications · 47 citations

    1

    h-index

  2. CM
    Colleen Murphy

    University of Illinois Urbana-Champaign, United States

    1 publications · 37 citations

    1

    h-index

  3. XY
    Xiaodong Yan

    Beijing Normal University, China

    1 publications · 18 citations

    1

    h-index

  4. YT
    Yusuke Tanaka

    Kyoto University, Japan

    1 publications · 15 citations

    1

    h-index

  5. AV
    Alain Vanasse

    Université de Sherbrooke, Canada

    1 publications · 14 citations

    1

    h-index

1–5 of 154

Venues

  1. Accident Analysis & Prevention

    4 publications · 594 citations

    4

    h-index

  2. Quantitative Finance

    3 publications · 76 citations

    3

    h-index

  3. Biometrical Journal

    2 publications · 174 citations

    2

    h-index

  4. Natural Hazards

    2 publications · 502 citations

    2

    h-index

  5. Statistics in Medicine

    2 publications · 38 citations

    2

    h-index

1–5