Gap Time Analysis

Gap Time Analysis is a statistical method in recurrent event analysis that models the time intervals between successive events, distinguishing itself by focusing on the inter-event gaps rather than the cumulative event times or overall survival process.

74

Publications

3K

Citations

205

Authors

122

Institutions

Publications per year

2017–2026

16

Variants

Gap Time Model

Authors

205

  1. DC
    Didier Chollet

    Université de Rouen Normandie, France

    3 publications · 98 citations

    3

    h-index

  2. RL
    Robert L. Strawderman

    Cornell University, United States

    3 publications · 83 citations

    3

    h-index

  3. LS
    Ludovic Seifert

    Université de Rouen Normandie, France

    3 publications · 98 citations

    3

    h-index

  4. XL
    Xianghua Luo

    University of Minnesota, United States

    3 publications · 58 citations

    3

    h-index

  5. HF
    Hannah Frick

    Universität Innsbruck, Austria

    2 publications · 60 citations

    2

    h-index

1–5 of 205

Venues

  1. Statistics in Medicine

    6 publications · 626 citations

    5

    h-index

  2. Computational Statistics & Data Analysis

    CSDA · 4 publications · 60 citations

    4

    h-index

  3. PLoS ONE

    3 publications · 128 citations

    3

    h-index

  4. Biometrika

    3 publications · 304 citations

    3

    h-index

  5. International Journal of Sports Medicine

    3 publications · 98 citations

    3

    h-index

1–5