Censored Regression

Censored Regression is a regression model that belongs to the class of statistical methods for analyzing relationships between variables, distinguished by its accommodation of censored dependent variables where observations are only partially known due to truncation or limitation in measurement.

812

Publications

96.8K

Citations

1.6K

Authors

776

Institutions

Publications per year

2017–2026

101

Parents

Authors

1.6K

  1. IV
    Ingrid Van Keilegom

    UCLouvain, Belgium

    18 publications · 552 citations

    15

    h-index

  2. ST
    Steven T. Yen

    University of Tennessee at Knoxville, United States

    10 publications · 1.2K citations

    10

    h-index

  3. VH
    Víctor H. Lachos

    Universidade Estadual de Campinas (UNICAMP), Brazil

    10 publications · 269 citations

    10

    h-index

  4. JL
    James L. Powell

    University of California, Berkeley, United States

    10 publications · 3.5K citations

    10

    h-index

  5. ZY
    Zhiliang Ying

    Columbia University, United States

    9 publications · 1K citations

    9

    h-index

1–5 of 1.6K

Venues

  1. Biometrika

    55 publications · 5.8K citations

    31

    h-index

  2. Journal of the American Statistical Association

    38 publications · 7.5K citations

    29

    h-index

  3. Journal of Econometrics

    25 publications · 3.9K citations

    20

    h-index

  4. The Annals of Statistics

    20 publications · 3.2K citations

    19

    h-index

  5. Statistics in Medicine

    21 publications · 1.3K citations

    17

    h-index

1–5