Undercount Bias

Undercount Bias is a measurement error in population estimation that systematically results in the underrepresentation of homeless individuals in official counts due to their transient living conditions, lack of fixed addresses, and limited accessibility during survey enumeration.

30

Publications

1K

Citations

66

Authors

38

Institutions

Publications per year

2017–2026

3

Variants

Underenumeration Bias

Authors

66

  1. KT
    Kathleen Thiede Call

    University of Minnesota, United States

    3 publications · 81 citations

    3

    h-index

  2. KW
    Kenneth W. Wachter

    University of California, Berkeley, United States

    3 publications · 142 citations

    3

    h-index

  3. AM
    Alan M. Zaslavsky

    Harvard University, United States

    2 publications · 65 citations

    2

    h-index

  4. WP
    William P. O’Hare

    Annie E. Casey Foundation, United States

    1 publications · 18 citations

    2

    h-index

  5. ED
    Eugene D. Shapiro

    Yale University, United States

    2 publications · 110 citations

    2

    h-index

1–5 of 66

Venues

  1. 6

    h-index

  2. Health Affairs

    2 publications · 49 citations

    2

    h-index

  3. Pneumonia

    1 publications · 99 citations

    1

    h-index

  4. Human Organization

    1 publications · 27 citations

    1

    h-index

  5. Cytometry Part B Clinical Cytometry

    1 publications · 16 citations

    1

    h-index

1–5