Platform Bias Correction
Platform Bias Correction is a methodological framework within cross-platform data harmonization that systematically identifies and mitigates systematic distortions arising from platform-specific technical, operational, or sampling differences to ensure equitable representation and comparability of data across heterogeneous digital environments.
9
Publications
2K
Citations
69
Authors
45
Institutions
Publications per year
2017–2026
6
9
Data quality of platforms and panels for online behavioral research
Eyal Peer, David Rothschild, Gordon Andrew et al. · Behavior Research Methods · 2021 · 1.6K citations · Full text
Arran Turnbull, Robert R. Kitchen, Alexey A. Larionov et al. · BMC Medical Genomics · 2012 · 54 citations · Full text
1–5 of 9
69
1
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1
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Consorci Institut D'Investigacions Biomediques August Pi I Sunyer, Spain
1 publications · 24 citations
1
h-index
1
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1
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1–5 of 69
45

University of Washington Medical Center
Seattle, United States
1 h-index
3 publications
51 citations

Whitney Museum of American Art
New York, United States
1 h-index
1 publications
54 citations

Karolinska Institutet
Stockholm, Sweden
1 h-index
1 publications
24 citations

Geisinger Health System
Danville, United States
1 h-index
2 publications
34 citations

The University of Melbourne
Melbourne, Australia
1 h-index
8 publications
200 citations
Dmitry Rogachev National Research Center of Pediatric Hematology, Oncology and Immunology
Moscow, Russia
1 h-index
3 publications
210 citations
Yale University
New Haven, United States
1 h-index
2 publications
108 citations
Microsoft (United States)
Redmond, United States
1 h-index
1 publications
1.6K citations
1–8 of 45
BRM · 1 publications · 1.6K citations
1
h-index
1 publications · 54 citations
1
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1 publications · 124 citations
1
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1 publications · 17 citations
1
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1 publications · 25 citations
1
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1–5