Nominal Association Tests
Nominal Association Tests is a statistical hypothesis testing framework used in categorical data analysis to assess the independence or association between two or more nominal variables by comparing observed contingency table frequencies to expected frequencies under the null hypothesis of no association.
28
Publications
1.5K
Citations
527
Authors
252
Institutions
Publications per year
2017–2026
3
28
Identification of shared risk loci and pathways for bipolar disorder and schizophrenia
Andreas J. Forstner, Julian Hecker, Andrea Hofmann et al. · PLoS ONE · 2017 · 93 citations · Full text
Life Sciences, Genetics, Psychiatry +17
1–5 of 28
527
3
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Nofer Institute of Occupational Medicine, Poland
2 publications · 129 citations
2
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2
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2
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1–5 of 527
252
Harvard University
Cambridge, United States
4 h-index
9 publications
730 citations
University of Michigan
Ann Arbor, United States
3 h-index
9 publications
238 citations
Centre for Addiction and Mental Health
Toronto, Canada
3 h-index
15 publications
616 citations
Korea National Institute of Health
Cheongju-si, South Korea
3 h-index
8 publications
400 citations
Essen University Hospital
Essen, Germany
2 h-index
11 publications
236 citations

Wellcome Sanger Institute
Cambridge, United Kingdom
2 h-index
15 publications
532 citations
Centro de Investigación Biomédica en Red
Madrid, Spain
2 h-index
3 publications
328 citations
Poznan University of Medical Sciences
Poznan, Poland
2 h-index
5 publications
294 citations
1–8 of 252
2 publications · 44 citations
2
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AJHG · 2 publications · 265 citations
2
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2 publications · 109 citations
2
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1 publications · 81 citations
1
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1 publications · 41 citations
1
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