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NHANES 2011–2018 Stata Syntax: Data Merging, Cleaning & Survey Setup (Adults ≥18)

NHANES 2011–2018 Stata Syntax: Data Merging, Cleaning & Survey Setup (Adults ≥18)

Published by Wilfred Nyakeri

A fully annotated Stata script for preparing NHANES 2011–2018 data. This syntax merges socio demographic and BMI data(BMI, waist circumference), harmonizes education and marital status variables, restricts to adults (≥18 years), applies complete-case analysis, and sets NHANES survey weights. Ready for publication-quality analysis and fully adaptable for any NHANES dataset (1999–present).

NHANES

Additional Information

This product provides a professional Stata syntax for handling NHANES 2011–2018 data (4 cycles). It is designed for researchers, students, and data analysts who need to:

  • Import SAS XPT files into Stata
  • Merge multiple NHANES cycles (2011–2012, 2013–2014, 2015–2016, 2017–2018)
  • Harmonize key demographic and anthropometric variables
  • Restrict to adults aged ≥18 years
  • Apply complete-case analysis (no imputation)
  • Collapse race/ethnicity into 4 groups
  • Generate pooled 8-year survey weights
  • Set NHANES complex survey design in Stata

The syntax is fully annotated, making it easy to understand, modify, and extend to other NHANES datasets (e.g., dietary, lab, or examination files).

WHAT'S INCLUDED

  • Stata .do file – step-by-step annotated code for data merging and survey setup (Compatible with Stata 14+)
  • Stata Syntax File (.do) – ready-to-run code for data merging, cleaning, and survey setup
  • Stata Dataset (.dta) – merged, cleaned and weighted analytic dataset
  • Stata Log File (PDF) – execution log showing data processing steps
  • Documentation (PDF) – annotated guide with data description, variable definitions, and usage notes

WHY COMPLETE-CASE ANALYSIS?

NHANES data are collected under a complex survey design, and imputing across cycles can distort variance estimation. To maintain validity, we apply complete-case analysis. While this reduces sample size, it ensures representativeness under NHANES weighting.

WHO IS THIS FOR?

  • 📊 Data analysts needing quick NHANES preparation
  • 🎓 Graduate students working on dissertations or coursework
  • 📝 Researchers preparing manuscripts for publication
  • 📚 Educators teaching applied survey methods

PRICING OPTIONS

  • 🔒 Monthly Subscription → Access to all research codes, cleaned datasets, and reports
  • 💡 One-Time Purchase → Instant download of this syntax package