Sparse Contingency Tables

Sparse Contingency Tables is a type of contingency table characterized by a high proportion of zero or near-zero cell frequencies relative to the total number of cells, often leading to challenges in the estimation and interpretation of associations in log-linear model analysis.

78

Publications

6.2K

Citations

148

Authors

89

Institutions

Publications per year

2017–2026

3

Authors

148

  1. CR
    Cyrus R. Mehta

    Cytel (United States), United States

    4 publications · 1.4K citations

    4

    h-index

  2. AA
    Alan Agresti

    University of Florida, United States

    4 publications · 213 citations

    4

    h-index

  3. JS
    Jeffrey S. Simonoff

    New York University, United States

    3 publications · 109 citations

    3

    h-index

  4. NR
    Nitin R. Patel

    Cytel (United States), United States

    3 publications · 1.3K citations

    3

    h-index

  5. AT
    Akimichi Takemura

    The University of Tokyo, Japan

    3 publications · 137 citations

    3

    h-index

1–5 of 148

Venues

  1. Journal of the American Statistical Association

    10 publications · 1.8K citations

    10

    h-index

  2. The Annals of Statistics

    5 publications · 190 citations

    5

    h-index

  3. Biometrics

    5 publications · 184 citations

    5

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 4 publications · 176 citations

    4

    h-index

  5. 3

    h-index

1–5