National Inpatient Sample (NIS) Statistical Analysis
Learn how to clean, manage, and analyze National Inpatient Sample data using STATA for health and clinical research
National Inpatient Sample (NIS) Statistical Analysis udemy course free download
Learn how to clean, manage, and analyze National Inpatient Sample data using STATA for health and clinical research
Harness the full potential of the National Inpatient Sample (NIS)—the largest publicly available inpatient healthcare database in the United States—through the power of STATA, a leading statistical software used in health services research.
This comprehensive, hands-on course is designed for students, clinicians, researchers, and public health professionals who want to conduct robust, real-world data analysis using NIS. Whether you are preparing a thesis, publishing a manuscript, or informing health policy, this course will guide you through each stage of the process.
You will learn how to:
Import and organize raw NIS datasets into STATA
Clean, recode, and manage clinical and demographic variables
Merge multiple NIS files (core, hospital, severity, etc.)
Apply survey weights to generate accurate national estimates
Conduct descriptive statistics, cross-tabulations, and trend analyses
Perform bivariate testing (e.g., chi-square, t-tests)
Run regression models (logistic, linear) for inferential insights
Export and format your results for publication or presentation
Each module includes real examples, downloadable code, and tips for overcoming common errors in working with large-scale health data.
You don't need any previous experience with NIS. A basic familiarity with STATA is helpful but not mandatory—this course is designed to build your skills from the ground up.
Created by AxeUSCE, a recognized leader in healthcare analytics education, this course will prepare you to use NIS data in your research projects confidently and publish with credibility.
