stat-analysis

What problem does it solve?

Automates end-to-end statistical analyses aligned with a research plan, enabling hypothesis-driven, reproducible workflows from design through results.

Core Features & Use Cases

• Environment preparation & plan parsing: Reads the research_plan.md and data dictionaries, sets up a reproducible analysis workspace.
• Hypothesis declaration & prereq checks: Explicitly defines hypotheses and validates statistical assumptions before modeling.
• Multi-path analysis & model comparison: Runs multiple feasible methods and compares them using fit metrics and interpretability criteria.
• Baseline, primary, subgroup, and sensitivity analyses: Generates a comprehensive workflow including Table 1, main results, subgroup analyses, and sensitivity checks.
• Reproducible deliverables: Outputs analysis_results.md and an analysis codebase (analysis/) for full traceability and replication.

Quick Start

Describe your research plan and dataset, then run the full statistical analysis from preprocessing to results delivery.

Quick Start

Describe your research plan and dataset, then run the full statistical analysis from preprocessing to results delivery.