NHIS Health Inequality Trends

Overview

I build and maintain the survey-harmonization and analytics infrastructure behind a long-running health-inequality study using pooled NHIS data. The work focuses on cross-period comparability, reproducibility, and quality assurance, and supports a manuscript in preparation.

My contribution

I lead the harmonization and analytic workflow, focusing on methodological consistency, cross-period comparability, reproducibility, and quality assurance, in coordination with the faculty investigator.

Data Harmonization & Reproducibility

• Harmonized more than two decades of NHIS data across major survey redesigns, resolving changes in variable definitions, coding, and design structures for cross-period comparability.
• Built reproducible SAS workflows with consistent naming conventions, version-controlled outputs, and a documented harmonization rulebook.
• Established quality-assurance protocols, including drift checks, cross-tab validation, and missingness diagnostics, that catch data issues before analysis.

Technologies & Tools

Deliverables & outcomes

• Harmonized more than two decades of NHIS data into an analysis-ready, version-controlled resource.
• Built reproducible QA protocols and documentation supporting transparent, replicable research.
• Supports a manuscript in preparation.