BigHugger
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…

installs 8w
0
30-day movement
starts with the next reading
Related entries
1
Connections
1
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