Data Fabrication Detection
Data Fabrication Detection is a methodological framework within data integrity assessment that identifies non-existent or artificially generated data instances by analyzing statistical anomalies, pattern irregularities, and metadata inconsistencies indicative of intentional falsification.
9
Publications
620
Citations
28
Authors
20
Institutions
Publications per year
2017–2026
2
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9
Are these data real? Statistical methods for the detection of data fabrication in clinical trials
Sanaa Al-Marzouki, Stephen Evans, Tom Marshall et al. · BMJ · 2005 · 137 citations · Full text
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London School of Hygiene & Tropical Medicine, United Kingdom
1 publications · 137 citations
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1–5 of 28
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University of the Western Cape
Cape Town, South Africa
1 h-index
2 publications
694 citations
Leiden University
Leiden, The Netherlands
1 h-index
1 publications
17 citations
GESIS - Leibniz Institute for the Social Sciences
Mannheim, Germany
1 h-index
1 publications
30 citations

Tilburg University
Tilburg, The Netherlands
1 h-index
3 publications
39 citations

Langley Porter Psychiatric Hospital and Clinics
San Francisco, United States
1 h-index
1 publications
347 citations
London School of Hygiene & Tropical Medicine
London, United Kingdom
1 h-index
4 publications
548 citations
Dimagi (United States)
Cambridge, United States
1 h-index
1 publications
21 citations
United Nations Children's Fund
New York, United States
1 h-index
1 publications
347 citations
1–8 of 20
1 publications · 25 citations
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1 publications · 30 citations
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RIO · 1 publications · 13 citations
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BRM · 1 publications · 17 citations
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1 publications · 137 citations
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