Sampling Bias Correction
Sampling Bias Correction is a methodological framework in genomic epidemiology that adjusts for systematic distortions in observed data arising from non-random sampling processes, thereby enabling more accurate inference of evolutionary dynamics, last appearance datums, or pathogen burden estimates such as tonnage.
151
Publications
14.9K
Citations
882
Authors
404
Institutions
Publications per year
2017–2026
54
151
Analysis of compositions of microbiomes with bias correction
Lin Huang, Shyamal Peddada · Nature Communications · 2020 · 2.2K citations · Full text
Charles Teddlie, Fen Yu · Journal of Mixed Methods Research · 2007 · 1.7K citations
Yoan Fourcade, Jan O. Engler, Dennis Rödder et al. · PLoS ONE · 2014 · 1.1K citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
11 h-index
20 publications
1K citations

Sorbonne Université
Paris, France
7 h-index
11 publications
549 citations
Stanford University
Stanford, United States
5 h-index
9 publications
1.4K citations
University of Michigan
Ann Arbor, United States
5 h-index
5 publications
181 citations
Harvard University
Cambridge, United States
5 h-index
9 publications
341 citations

Imperial College London
London, United Kingdom
5 h-index
9 publications
343 citations
Norwegian University of Science and Technology
Trondheim, Norway
4 h-index
4 publications
1.1K citations

École Pratique des Hautes Études
Paris, France
4 h-index
5 publications
310 citations
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5 publications · 761 citations
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Repository · 4 publications · 125 citations
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