Type Ii Error Rate
Type II Error Rate is the probability of failing to reject a false null hypothesis in a statistical test, distinguishing it from other error rates by its focus on missed detection of an existing effect.
456
Publications
38.2K
Citations
1.1K
Authors
598
Institutions
Publications per year
2017–2026
86
Variants
Beta
Parents
456
No Adjustments Are Needed for Multiple Comparisons
Kenneth J. Rothman · Epidemiology · 1990 · 5.8K citations
1–5 of 456
1.1K
6
h-index
5
h-index
5
h-index
The University of Texas Medical Branch at Galveston, United States
3 publications · 63 citations
3
h-index
3
h-index
1–5 of 1.1K
598
University of Florida
Gainesville, United States
9 h-index
14 publications
695 citations
University of Illinois Urbana-Champaign
Urbana, United States
8 h-index
15 publications
768 citations
University of California San Diego
San Diego, United States
7 h-index
9 publications
275 citations
University of Southern California
Los Angeles, United States
7 h-index
9 publications
177 citations
University of Michigan
Ann Arbor, United States
7 h-index
11 publications
654 citations

University of Toronto
Toronto, Canada
7 h-index
9 publications
939 citations
National University of Singapore
Singapore, Singapore
7 h-index
15 publications
581 citations

Western University
London, Canada
6 h-index
9 publications
419 citations
1–8 of 598
16 publications · 934 citations
14
h-index
Repository · 15 publications · 522 citations
12
h-index
12 publications · 397 citations
11
h-index
Repository · 11 publications · 250 citations
11
h-index
11 publications · 282 citations
11
h-index
1–5