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

Authors

1.1K

  1. JA
    James Algina

    University of Florida, United States

    6 publications · 189 citations

    6

    h-index

  2. VY
    Vincent Y. F. Tan

    National University of Singapore, Singapore

    5 publications · 204 citations

    5

    h-index

  3. RM
    Randall M. Peterman

    Simon Fraser University, Canada

    5 publications · 1.7K citations

    5

    h-index

  4. KJ
    Kenneth J. Ottenbacher

    The University of Texas Medical Branch at Galveston, United States

    3 publications · 63 citations

    3

    h-index

  5. JB
    Jay Bartroff

    University of Southern California, United States

    3 publications · 69 citations

    3

    h-index

1–5 of 1.1K

Venues

  1. Statistics in Medicine

    16 publications · 934 citations

    14

    h-index

  2. PubMed

    Repository · 15 publications · 522 citations

    12

    h-index

  3. IEEE Transactions on Information Theory

    12 publications · 397 citations

    11

    h-index

  4. SSRN Electronic Journal

    Repository · 11 publications · 250 citations

    11

    h-index

  5. Educational and Psychological Measurement

    11 publications · 282 citations

    11

    h-index

1–5