Censored Count Models

Censored Count Models is a type of count data model that accounts for underreported or truncated count outcomes by adjusting the likelihood function to reflect the probability of unobserved counts falling within a censored range.

64

Publications

3.4K

Citations

113

Authors

84

Institutions

Publications per year

2017–2026

10

Authors

113

  1. ST
    Steven T. Yen

    University of Tennessee at Knoxville, United States

    7 publications · 773 citations

    7

    h-index

  2. WH
    William H. Greene

    New York University, United States

    3 publications · 70 citations

    3

    h-index

  3. ML
    M. L. Tiku

    McMaster University, Canada

    2 publications · 61 citations

    2

    h-index

  4. PJ
    Paul J. Gruenewald

    Pacific Institute For Research and Evaluation, United States

    2 publications · 100 citations

    2

    h-index

  5. JD
    James Dickey

    University of Minnesota, United States

    2 publications · 59 citations

    2

    h-index

1–5 of 113

Venues

  1. 3

    h-index

  2. Technometrics

    3 publications · 57 citations

    3

    h-index

  3. 3

    h-index

  4. Biometrika

    2 publications · 42 citations

    2

    h-index

  5. Computational Statistics & Data Analysis

    CSDA · 2 publications · 116 citations

    2

    h-index

1–5