Administrative Data Limitations
Administrative Data Limitations is a methodological construct that refers to the inherent constraints and biases in institutionally generated records, distinguished by their impact on the accurate identification and measurement of hidden populations such as those experiencing hidden homelessness.
45
Publications
1.6K
Citations
144
Authors
73
Institutions
Publications per year
2017–2026
17
Parents
45
Kurt Stevenson, Yosef Khan, Jeanne Dickman et al. · American Journal of Infection Control · 2008 · 157 citations
Health Professions, Infectious Disease Control, Health Services Research +16
1–5 of 45
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University of Hawaiʻi at Mānoa, United States
2 publications · 45 citations
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2
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1–5 of 144
73

University of Edinburgh
Edinburgh, United Kingdom
2 h-index
8 publications
180 citations

The University of Queensland
Brisbane, Australia
2 h-index
2 publications
77 citations
Columbia University
New York, United States
2 h-index
2 publications
36 citations
University of Chicago
Chicago, United States
2 h-index
4 publications
154 citations

McGill University
Montreal, Canada
1 h-index
1 publications
12 citations

Virginia Commonwealth University Medical Center
Richmond, United States
1 h-index
1 publications
50 citations
Asan Medical Center
Seoul, South Korea
1 h-index
6 publications
84 citations
University of Minnesota System
Minneapolis, United States
1 h-index
1 publications
12 citations
1–8 of 73
Repository · 3 publications · 86 citations
3
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Repository · 3 publications · 137 citations
3
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2 publications · 36 citations
2
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1 publications · 34 citations
1
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ANR · 1 publications · 13 citations
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