P Value Interpretation

P Value Interpretation is a statistical reasoning process used in hypothesis testing to determine the strength of evidence against the null hypothesis by quantifying the probability of observing the data, or more extreme outcomes, assuming the null hypothesis is true.

143

Publications

22.3K

Citations

327

Authors

207

Institutions

Publications per year

2017–2026

52

Authors

327

  1. RH
    Raymond Hubbard

    Drake University, United States

    5 publications · 358 citations

    5

    h-index

  2. SG
    Sander Greenland

    University of California, Los Angeles, United States

    4 publications · 541 citations

    4

    h-index

  3. CH
    Chris Hartgerink

    Tilburg University, Netherlands

    3 publications · 115 citations

    3

    h-index

  4. JI
    Joachim I. Krueger

    Brown University, United States

    3 publications · 97 citations

    3

    h-index

  5. PR
    Patrick R. Heck

    Geisinger Health System, United States

    3 publications · 97 citations

    3

    h-index

1–5 of 327

Venues

  1. The American Statistician

    15 publications · 8.6K citations

    15

    h-index

  2. American Journal of Epidemiology

    AJE · 4 publications · 406 citations

    4

    h-index

  3. PubMed

    Repository · 3 publications · 36 citations

    3

    h-index

  4. Journal of Cataract & Refractive Surgery

    3 publications · 35 citations

    3

    h-index

  5. Nature

    3 publications · 343 citations

    3

    h-index

1–5