Terminal Event Analysis

Terminal Event Analysis is a statistical methodology within recurrent event analysis that specifically addresses the modeling and inference of recurrent events subject to a terminating event, distinguishing itself by integrating the dependency between the recurrent event process and the time-to-terminal event.

130

Publications

6.6K

Citations

368

Authors

188

Institutions

Publications per year

2017–2026

30

Authors

368

  1. LL
    Lei Liu

    University of Virginia, United States

    8 publications · 824 citations

    10

    h-index

  2. XH
    Xuelin Huang

    The University of Texas MD Anderson Cancer Center, United States

    7 publications · 744 citations

    7

    h-index

  3. VR
    Virginie Rondeau

    Inserm, France

    6 publications · 258 citations

    7

    h-index

  4. SH
    Sebastien Haneuse

    Harvard University, United States

    6 publications · 239 citations

    6

    h-index

  5. SL
    Sheng Luo

    Duke University, United States

    6 publications · 146 citations

    6

    h-index

1–5 of 368

Venues

  1. Biometrics

    14 publications · 1.4K citations

    13

    h-index

  2. PubMed

    Repository · 11 publications · 440 citations

    11

    h-index

  3. Statistics in Medicine

    12 publications · 372 citations

    11

    h-index

  4. 8

    h-index

  5. Statistical Methods in Medical Research

    5 publications · 128 citations

    5

    h-index

1–5