Type Ii Error
A Type II Error is a type of statistical error in hypothesis testing that occurs when a false null hypothesis is incorrectly not rejected, leading to the failure to detect an effect that is actually present.
870
Publications
80.4K
Citations
2.1K
Authors
982
Institutions
Publications per year
2017–2026
178
Variants
Beta ErrorFalse Negative
Parents
870
No Adjustments Are Needed for Multiple Comparisons
Kenneth J. Rothman · Epidemiology · 1990 · 5.8K citations
1–5 of 870
2.1K
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6
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4
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1–5 of 2.1K
982

University of Toronto
Toronto, Canada
12 h-index
14 publications
1.2K citations

Pennsylvania State University
State College, United States
10 h-index
20 publications
3.7K citations
University of Southern California
Los Angeles, United States
10 h-index
12 publications
602 citations
University of Washington
Seattle, United States
9 h-index
10 publications
464 citations
National University of Singapore
Singapore, Singapore
9 h-index
14 publications
445 citations
Arizona State University
Tempe, United States
9 h-index
20 publications
5.9K citations
Rutgers, The State University of New Jersey
New Brunswick, United States
9 h-index
19 publications
6.5K citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
13 publications
556 citations
1–8 of 982
Repository · 22 publications · 1.2K citations
14
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Repository · 21 publications · 829 citations
14
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14 publications · 384 citations
12
h-index
12 publications · 491 citations
12
h-index
11 publications · 770 citations
11
h-index
1–5