nhanesA: achieving transparency and reproducibility in NHANES research

Area of Science:

• Public Health
• Biostatistics
• Data Science

Background:

• The National Health and Nutrition Examination Survey (NHANES) offers extensive public health data.
• NHANES data is crucial for studying health trends like obesity and diabetes, and social determinants of health.
• Analyzing NHANES data presents significant technical and analytical challenges for researchers.

Purpose of the Study:

• Introduce the nhanesA R package to streamline NHANES data retrieval and analysis.
• Facilitate the sharing and extension of prior research efforts using NHANES data.
• Promote community-driven data reproducibility and analytic method sharing.

Main Methods:

• Development of the nhanesA R package for R statistical software.
• The package is designed for efficient data retrieval from NHANES.
• Enables simplified data analysis and facilitates reproducible research workflows.

Main Results:

• The nhanesA R package provides a user-friendly interface for accessing NHANES data.
• Researchers can more easily conduct analyses related to public health metrics.
• The package supports the reproducibility and sharing of analytical methods.

Conclusions:

• The nhanesA R package significantly benefits researchers by simplifying NHANES data access and analysis.
• Fostering community-driven efforts in data sharing and reproducibility accelerates scientific advancement.
• This tool is expected to enhance the utilization of NHANES data in public health research.