Abstract
National health surveillance systems in the United States collect essential information about population health, yet differences in analytical methods often make it difficult to compare results across studies. This paper presents a clear and consistent framework for descriptive analyses using the National Health Interview Survey (NHIS). The framework establishes shared definitions for sociodemographic and clinical variables, outlines methods for handling missing data, and describes use of survey weights and multivariable models. This process will generate reproducible and interpretable estimates across different NHIS-based studies.