Data Completeness Analysis
Data Completeness Analysis is a data profiling method that belongs to the class of data quality assessment techniques, specifically distinguished by its focus on identifying the extent to which required data attributes are populated and absent of null or missing values within a dataset.
166
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9.5K
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898
Authors
517
Institutions
Publications per year
2017–2026
85
Parents
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Enhancing recovery rates: Lessons from year one of IAPT
Alex Gyani, Roz Shafran, Richard Layard et al. · Behaviour Research and Therapy · 2013 · 348 citations · Full text
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Centers for Disease Control and Prevention
Atlanta, United States
7 h-index
33 publications
767 citations
University of Washington
Seattle, United States
6 h-index
14 publications
391 citations

Australian National University
Canberra, Australia
5 h-index
15 publications
919 citations
Harvard University
Cambridge, United States
5 h-index
26 publications
2.2K citations
University of Southern California
Los Angeles, United States
5 h-index
7 publications
545 citations

Boston Children's Hospital
Boston, United States
5 h-index
17 publications
1.6K citations

Wake Forest University
Winston-Salem, United States
4 h-index
13 publications
427 citations

Johns Hopkins University
Baltimore, United States
4 h-index
12 publications
247 citations
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Repository · 7 publications · 2.2K citations
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JAMIA · 3 publications · 150 citations
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3 publications · 84 citations
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2 publications · 50 citations
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2 publications · 55 citations
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