Data Science & Analytics
Robustness Checks
Use when a main specification has produced a result, when preparing a paper appendix, when a reviewer requests robustness, or before declaring any empirical finding final. Guides selection of design-appropriate checks without mandating a fixed checklist.
- Publisher / source
- brycewang-stanford/Auto-Empirical-Research-Skills (found on GitHub top repositories)
- Upstream record
- brycewang-stanford/Auto-Empirical-Research-Skills
- Version
- Version 1
- Published
- Publication review
- Approved for publication · recorded passed scan 2026-11-05
- Content fingerprint
9870ac0d814797d3779f59405ed9b4fc45b43bd2a4b1dccd381e6894f87c5914