Sample size and power analysis

When to consider it

• Plan sample size, power or detectable effect for the supported study designs.

Assumptions and scope

• Observations must be independent between subjects; repeated rows from one subject are not independent samples.
• Use the outcome and predictor coding required by the calculator; review missing data and model diagnostics.

Required inputs

Review missing values and data coding before running. Sample inputs are synthetic teaching examples.

Library references

• SciPy statistical methods
• statsmodels models and statistical tests
• scikit-learn clustering
• lifelines survival comparisons