Right-truncation Correction

Right-Truncation Correction is a statistical methodology designed to adjust for biased sampling in longitudinal data by accounting for the underrepresentation of longer incubation periods due to the exclusion of cases not yet observed by the time of analysis.

14

Publications

2.3K

Citations

59

Authors

29

Institutions

Publications per year

2017–2026

9

Authors

59

  1. AR
    Andrei R. Akhmetzhanov

    Hokkaido University, Japan

    2 publications · 1.4K citations

    2

    h-index

  2. NM
    Natalie M. Linton

    Hokkaido University, Japan

    2 publications · 1.4K citations

    2

    h-index

  3. HN
    Hiroshi Nishiura

    Japan Science and Technology Agency, Japan

    2 publications · 1.4K citations

    2

    h-index

  4. TS
    Tanja Stadler

    ETH Zurich, Switzerland

    1 publications · 19 citations

    1

    h-index

  5. GX
    Gexin Xiao

    China National Center for Food Safety Risk Assessment, China

    1 publications · 22 citations

    1

    h-index

1–5 of 59

Venues

  1. 2

    h-index

  2. PLoS Computational Biology

    1 publications · 19 citations

    1

    h-index

  3. Statistical Applications in Genetics and Molecular Biology

    SAGMB · 1 publications · 20 citations

    1

    h-index

  4. Marketing Science

    1 publications · 39 citations

    1

    h-index

  5. Statistics in Medicine

    1 publications · 11 citations

    1

    h-index

1–5