Welcome to the STATA programming section of CodeHurry. This section provides a collection of STATA programming examples developed from prior research and data analysis projects involving complex survey data.
The examples demonstrate practical applications of STATA procedures for survey-weighted descriptive analysis, cross-tabulations, regression modeling, variance estimation, and subgroup analysis while appropriately accounting for survey weights, stratification, and clustering.
These STATA analytical examples reflect workflows commonly used with national complex sample surveys, including MEPS, NHANES, NHIS, BRFSS, and other survey programs requiring appropriate methods for analyzing data collected through complex sampling designs.
The examples illustrate how STATA procedures can incorporate sampling weights, stratification, clustering, and design-based variance estimation into statistical analyses.
Unlike the SAS course materials on CodeHurry, which are organized into structured lessons, this STATA section provides a collection of project-based code examples from applied research and data analysis. It is intended as a practical programming reference for researchers, analysts, and programmers working with complex survey data, not as a formal STATA training course.
Disclaimer: The STATA programming materials provided on this website are intended for educational and reference purposes only. The author assumes no responsibility for errors, omissions, or consequences resulting from the use of these materials. Users should independently verify program logic, analytical assumptions, and statistical results before applying these examples to their own research or production analyses.
Trademark Notice: Stata® is a registered trademark of StataCorp LLC. CodeHurry is not affiliated with or endorsed by StataCorp LLC. STATA-related programming examples on this website are provided solely for educational and reference purposes.