# Tags / NHST

## Papers

- Abandon Statistical Significance (2019) by Blakeley B. McShane et al.
- The Failure of Null Hypothesis Significance Testing When Studying Incremental Changes, and What... (2017) by Andrew Gelman
- Erroneous Analyses of Interactions in neuroscience: A Problem of Significance (2011) by Sander Nieuwenhuis et al.
- Confusion Over Measures of Evidence (p's) Versus Errors (alpha's) In Classical Statistical Test... (2003) by Raymond Hubbard et al.
- Statistical Significance and Effect Size reporting: Portrait of a Possible Future (1998) by Thompson B
- Absence of Evidence is Not Evidence of Absence (1995) by D. G Altman et al.
- P values, Hypothesis tests, and likelihood: Implications for Epidemiology of a Neglected Histor... (1993) by Steven N Goodman
- Testing the Approximate Validity of Statistical Hypotheses (1954) by J. L. Hodges et al.
- Some Difficulties of Interpretation Encountered in the Application of the Chi-Square Test (1938) by Joseph Berkson 1
- On the Problem of the Most Efficient Tests of Statistical Hypotheses (1933) by Jerzy Neyman et al.

## Excerpts

- Incorrect Statistical Procedures in Neuroscience (2011) by Sander Nieuwenhuis et al.
- Neyman–pearson vs. Fisher (2003) by Raymond Hubbard et al.
- Absence of Evidence is Not Evidence of Absence (1995) by D. G Altman et al.
- Neyman-Pearson vs. Fisher (1993) by Steven N Goodman et al.
- Scientific Method (1993) by Steven N Goodman et al.
- NHST (1933) by Jerzy Neyman et al.