experimental-data-analysis

Source: https://github.com/aipoch/medical-research-skills

When to Use

• You have experimental results in CSV form and need a reproducible end-to-end analysis workflow (clean → test → report).
• You need to compare two conditions (independent or paired) and determine statistical significance with effect sizes.
• You need to compare 3+ groups (one-way) or multiple factors (multi-way) using ANOVA and post-hoc multiple comparisons.
• You must validate assumptions (normality, homogeneity of variance) and document them in a report.
• You need standardized run outputs (timestamped run directories) for traceability and auditing.

Key Features