Recurrent Event Analysis

Recurrent Event Analysis is a subfield of survival analysis that develops and applies statistical methods for modeling the occurrence and timing of multiple, possibly repeated events within the same individual over time, in contrast to traditional time-to-first-event analyses that consider only a single terminal event.

554

Publications

35.6K

Citations

1.9K

Authors

858

Institutions

Publications per year

2017–2026

123

Authors

1.9K

  1. RJ
    Richard J. Cook

    University of Waterloo, Canada

    20 publications · 777 citations

    15

    h-index

  2. JS
    Jianguo Sun

    University of Missouri, United States

    18 publications · 564 citations

    15

    h-index

  3. MW
    Mei‐Cheng Wang

    Johns Hopkins University, United States

    18 publications · 1K citations

    14

    h-index

  4. JF
    Jerald F. Lawless

    University of Waterloo, Canada

    16 publications · 1.3K citations

    14

    h-index

  5. JC
    Jianwen Cai

    University of North Carolina at Chapel Hill, United States

    14 publications · 1.3K citations

    14

    h-index

1–5 of 1.9K

Venues

  1. Biometrics

    43 publications · 2.5K citations

    24

    h-index

  2. Statistics in Medicine

    57 publications · 2.3K citations

    23

    h-index

  3. Journal of the American Statistical Association

    31 publications · 4.2K citations

    23

    h-index

  4. Lifetime Data Analysis

    29 publications · 774 citations

    17

    h-index

  5. Technometrics

    12 publications · 988 citations

    12

    h-index

1–5