Left-truncated Hazard Analysis

Left-Truncated Hazard Analysis is a statistical methodology within survival analysis that accounts for delayed entry into observation by conditioning the hazard function on the fact that individuals have survived up to the time of study inclusion, thereby correcting for bias due to left truncation in time-to-event data.

18

Publications

738

Citations

76

Authors

55

Institutions

Publications per year

2017–2026

8

Authors

76

  1. JW
    John Williamson

    Centers for Disease Control and Prevention, United States

    2 publications · 32 citations

    2

    h-index

  2. LC
    Li‐Pang Chen

    Western University, Canada

    1 publications · 13 citations

    2

    h-index

  3. RL
    Ralph L. Sacco

    University of Miami, United States

    1 publications · 16 citations

    1

    h-index

  4. FR
    F. Richard

    Inserm, France

    1 publications · 86 citations

    1

    h-index

  5. SE
    Shinto Eguchi

    The Institute of Statistical Mathematics, Japan

    1 publications · 27 citations

    1

    h-index

1–5 of 76

Venues

  1. American Journal of Epidemiology

    AJE · 3 publications · 287 citations

    3

    h-index

  2. Biometrics

    1 publications · 27 citations

    1

    h-index

  3. Biometrical Journal

    1 publications · 16 citations

    1

    h-index

  4. Computer Methods and Programs in Biomedicine

    1 publications · 20 citations

    1

    h-index

  5. British Journal of Cancer

    BJC · 1 publications · 62 citations

    1

    h-index

1–5