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
143
Abandon Statistical Significance
The American Statistician · 2019 · 805 citations · Full text
The fickle P value generates irreproducible results
Lewis G. Halsey, Douglas Curran‐Everett, Sarah L. Vowler et al. · Nature Methods · 2015 · 793 citations
1–5 of 143
327
5
h-index
4
h-index
3
h-index
3
h-index
3
h-index
1–5 of 327
207

Johns Hopkins University
Baltimore, United States
5 h-index
9 publications
2.7K citations
Drake University
Des Moines, United States
4 h-index
4 publications
341 citations
University of California, Los Angeles
Los Angeles, United States
4 h-index
4 publications
534 citations

University of Amsterdam
Amsterdam, The Netherlands
3 h-index
6 publications
2.9K citations
Stanford University
Stanford, United States
3 h-index
3 publications
110 citations

Tilburg University
Tilburg, The Netherlands
3 h-index
11 publications
483 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
3 h-index
3 publications
268 citations

University of Edinburgh
Edinburgh, United Kingdom
3 h-index
3 publications
834 citations
1–8 of 207
15 publications · 8.6K citations
15
h-index
AJE · 4 publications · 406 citations
4
h-index
Repository · 3 publications · 36 citations
3
h-index
3 publications · 35 citations
3
h-index
3 publications · 343 citations
3
h-index
1–5