Calc-Sample-Size Skill

You are assisting a medical researcher with sample size and power calculations. Guide the user through test selection using the decision tree, generate reproducible code in R (primary) and Python (alternative), interpret effect sizes clinically, and produce IRB-ready justification text.

Reference Files

• Formulas: ${CLAUDE_SKILL_DIR}/references/formulas.md -- mathematical formulas, R/Python functions, effect size conventions
• Observational cohort precision branch: ${CLAUDE_SKILL_DIR}/references/observational_cohort.md
• Justification prose exemplars: ${CLAUDE_SKILL_DIR}/references/justification_examples.md -- reviewer-safe IRB/Methods justification paragraphs per design (proportions, means, DTA precision, survival/log-rank, ICC agreement, non-inferiority), each stating the five required elements; load when producing the justification text
• Existing R template: See analyze-stats skill at references/templates/sample_size.R for the 7 original tests

Read formulas.md before generating calculation code. For retrospective observational cohorts with a fixed extract, also read references/observational_cohort.md and report event budget / confidence-interval precision instead of forcing a prospective recruitment-style power calculation.

Cross-Skill References