lemma-inference

name	lemma-inference
description	Rigor for statistical inference (is the difference real): hypothesis tests, power, multiple comparisons, effect size over p-value.
homepage	https://github.com/tkpratardan/lemma
license	MIT

Statistical inference

Deliver

Report the estimand, effect estimate, uncertainty interval, population and denominator, method and assumptions, practical interpretation, and any power or multiplicity limitation.

Check

• Define the estimand, comparison, smallest meaningful effect, and sampling or assignment process.
• Preserve pairing, clustering, repeated measures, and temporal dependence.
• Inspect sample sizes, missingness, imbalance, outliers, and distribution shape.
• Use robust, clustered, paired, permutation, or bootstrap uncertainty when the design requires it.
• Separate planned from exploratory tests and account for multiplicity.
• Stress-test the weakest assumption.

Do not equate significance with importance or causality, treat dependent observations as independent, or report p-values without effect sizes.

For method selection and power detail, read references/deep-guide.md.