Redefine statistical significance¶
Benjamin, D. J. (2018). Redefine statistical significance. Nature Human Behaviour, 2(1), 6-10.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Hypothesis Testing (Null vs. Alternative)
- Domain-specific thresholds reflect decision stakes (5σ in particle physics; 5×10⁻⁸ genome-wide significance; 0.025 one-sided in some clinical trials) but α = 0.05 remains default across much of biomedical and social science regardless of specific decision context
This sourceBenjamin et al. advocating for α = 0.005 discovery threshold to address power and prior-probability issues.
- Domain-specific thresholds reflect decision stakes (5σ in particle physics; 5×10⁻⁸ genome-wide significance; 0.025 one-sided in some clinical trials) but α = 0.05 remains default across much of biomedical and social science regardless of specific decision context
- Statistical Power
This sourceBenjamin et al. advocating for α = 0.005 discovery threshold to address power and prior-probability issues.
- Statistical Significance (p-Value)
- Mature practice calibrates thresholds to decision stakes, prior probability of real effect, and replication opportunity; immature practice applies α = 0.05 universally
This sourceBenjamin et al. advocating for α = 0.005 discovery threshold to address power and prior-probability issues.
- Mature practice calibrates thresholds to decision stakes, prior probability of real effect, and replication opportunity; immature practice applies α = 0.05 universally
- Type I & Type II Errors
- Critiques of NHST (ASA 2016/2019, Benjamin et al. 2018) have called for reduced tolerance for false positives (α = 0.005) but this implicitly raises β unless sample sizes grow
This sourceBenjamin et al. advocating for α = 0.005 discovery threshold to address power and prior-probability issues.
- Critiques of NHST (ASA 2016/2019, Benjamin et al. 2018) have called for reduced tolerance for false positives (α = 0.005) but this implicitly raises β unless sample sizes grow
Verification¶
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