Left-censored Data Analysis

Left-Censored Data Analysis is a statistical methodology within survival analysis that specifically addresses data where the event of interest has already occurred prior to the initiation of observation, distinguishing it from other censored data methods by focusing on cases with unknown initiation times but known post-event measurements.

218

Publications

16.3K

Citations

581

Authors

349

Institutions

Publications per year

2017–2026

39

Authors

581

  1. PS
    Pao‐Sheng Shen

    Tunghai University, Taiwan

    5 publications · 65 citations

    5

    h-index

  2. NB
    N. Balakrishnan

    McMaster University, Canada

    5 publications · 194 citations

    5

    h-index

  3. RA
    Rebecca A. Betensky

    Harvard University, United States

    4 publications · 150 citations

    4

    h-index

  4. PW
    Peijie Wang

    Jilin University, China

    3 publications · 78 citations

    3

    h-index

  5. HC
    Haitao Chu

    University of Minnesota, United States

    3 publications · 126 citations

    3

    h-index

1–5 of 581

Venues

  1. Biometrics

    14 publications · 1.3K citations

    13

    h-index

  2. Statistics in Medicine

    16 publications · 559 citations

    12

    h-index

  3. Biometrika

    10 publications · 368 citations

    10

    h-index

  4. 9

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 8 publications · 318 citations

    8

    h-index

1–5