Coverage Error Analysis

Coverage Error Analysis is a methodological framework in data quality control that identifies and quantifies discrepancies between the intended population of interest and the actual sample or dataset collected, distinguishing it from other error analyses by focusing specifically on representational gaps due to undercoverage or overcoverage in data acquisition.

76

Publications

4.4K

Citations

158

Authors

93

Institutions

Publications per year

2017–2026

16

Authors

158

  1. PH
    Peter Hall

    Australian National University, Australia

    7 publications · 583 citations

    7

    h-index

  2. RD
    Rade D. Paravina

    University of Houston, United States

    4 publications · 262 citations

    4

    h-index

  3. SM
    Stephen M. S. Lee

    University of Hong Kong, Hong Kong SAR China

    4 publications · 81 citations

    4

    h-index

  4. AG
    Alvin G. Wee

    The Ohio State University, United States

    4 publications · 207 citations

    4

    h-index

  5. MA
    Michael A. Martin

    Australian National University, Australia

    4 publications · 352 citations

    4

    h-index

1–5 of 158

Venues

  1. 7

    h-index

  2. The Annals of Statistics

    6 publications · 822 citations

    6

    h-index

  3. Biometrika

    5 publications · 425 citations

    5

    h-index

  4. Journal of Prosthetic Dentistry

    3 publications · 188 citations

    3

    h-index

  5. PubMed

    Repository · 3 publications · 152 citations

    3

    h-index

1–5