Time-to-event Trees

Time-To-Event Trees is a decision tree framework designed for survival analysis that extends traditional decision trees by incorporating time-to-event outcomes and handling censored data through specialized splitting criteria and terminal node estimation.

46

Publications

2.5K

Citations

126

Authors

91

Institutions

Publications per year

2017–2026

18

Authors

126

  1. MS
    Matthias Schmid

    University of Bonn, Germany

    4 publications · 73 citations

    4

    h-index

  2. AC
    Antonio Ciampi

    McGill University, Canada

    3 publications · 175 citations

    3

    h-index

  3. MB
    Moritz Berger

    University Hospital Bonn, Germany

    3 publications · 38 citations

    3

    h-index

  4. TW
    Thomas Welchowski

    University Hospital Bonn, Germany

    2 publications · 21 citations

    2

    h-index

  5. MK
    Małgorzata Krętowska

    Bialystok University of Technology, Poland

    2 publications · 20 citations

    2

    h-index

1–5 of 126

Venues

  1. Statistics in Medicine

    3 publications · 152 citations

    3

    h-index

  2. Computer Methods and Programs in Biomedicine

    2 publications · 31 citations

    2

    h-index

  3. Preventive Veterinary Medicine

    2 publications · 55 citations

    2

    h-index

  4. Reliability Engineering & System Safety

    2 publications · 82 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 157 citations

    2

    h-index

1–5