sk Skill · dralkh
statistical-power
Sample-size and statistical power calculations for planning studies. Use whenever someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus…
Open on skills.sh ↗read 2026-09-17
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pythonbashTypeScript
- Host repository
- dralkh/iktinah
- Version
- 1.0
- Allowed tools
- Read Write Edit Bash
- Compatible with
- Requires Python >=3.10. Examples target statsmodels >=0.14.6, scipy >=1.11, pingouin >=0.6, numpy >=1.26, and matplotlib. Optional extras are statsmodels mixed models and lifelines for simulation-based power.
- Licence
- MIT license
- Host stars
- 78
- Host language
- TypeScript