Ascertainment Bias
Ascertainment Bias is a type of selection bias arising when the method or process of identifying or measuring cases in a study systematically differs across groups or populations, leading to non-representative sampling and distorted estimates of the phenomenon under investigation.
363
Publications
34.5K
Citations
1.7K
Authors
708
Institutions
Publications per year
2017–2026
53
Parents
363
Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk
Douglas F. Easton, Paul D.P. Pharoah, Antonis C. Antoniou et al. · New England Journal of Medicine · 2015 · 937 citations · Full text
Life Sciences, Genetics, Oncology +17
1–5 of 363
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708
Harvard University
Cambridge, United States
14 h-index
55 publications
4.5K citations
Massachusetts General Hospital
Boston, United States
10 h-index
39 publications
2.5K citations
Columbia University
New York, United States
9 h-index
16 publications
682 citations
University of Cambridge
Cambridge, United Kingdom
9 h-index
12 publications
2K citations

Johns Hopkins University
Baltimore, United States
9 h-index
28 publications
1.6K citations
University of Utah
Salt Lake City, United States
9 h-index
19 publications
2.5K citations
Inserm
Paris, France
9 h-index
26 publications
1.2K citations

University of British Columbia
Vancouver, Canada
8 h-index
38 publications
3.9K citations
1–8 of 708
13 publications · 448 citations
12
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Repository · 13 publications · 651 citations
12
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13 publications · 569 citations
11
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10 publications · 944 citations
10
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MBE · 9 publications · 2.8K citations
9
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1–5