Significance Level Selection

Significance Level Selection is the methodological decision process of specifying a threshold probability for rejecting the null hypothesis in statistical hypothesis testing, distinguishing it from related inferential procedures by determining the criterion for statistical significance.

46

Publications

3.1K

Citations

98

Authors

80

Institutions

Publications per year

2017–2026

8

Authors

98

  1. EL
    E. L. Lehmann

    University of California, Berkeley, United States

    3 publications · 423 citations

    3

    h-index

  2. JH
    Jae H. Kim

    La Trobe University, Australia

    2 publications · 165 citations

    2

    h-index

  3. YB
    Yuehao Bai

    University of Michigan, United States

    2 publications · 28 citations

    2

    h-index

  4. AM
    Azeem M. Shaikh

    University of Chicago, United States

    2 publications · 28 citations

    2

    h-index

  5. AS
    Andres Santos

    University of California San Diego, United States

    2 publications · 28 citations

    2

    h-index

1–5 of 98

Venues

  1. Statistics in Medicine

    3 publications · 60 citations

    3

    h-index

  2. Biometrics

    3 publications · 593 citations

    3

    h-index

  3. 2

    h-index

  4. SSRN Electronic Journal

    Repository · 2 publications · 56 citations

    2

    h-index

  5. Journal of Professional Issues in Engineering

    1 publications · 10 citations

    1

    h-index

1–5