Linear Regression models, both simple and multiple, assess the association between independent variable(s) (Xi) — sometimes called exposure or predictor variables — and a continuous dependent variable (Y) — sometimes called the outcome or response variable. In cross-sectional surveys such as NHANES, linear regression analyses can be used to examine associations between covariates and health outcomes.
Before setting up a regression model, it is useful to understand the basic concepts and formulas used in linear regression models.
In this task, you will learn how to set up linear regression models in SUDAAN, SAS Survey procedures, and Stata. SUDAAN, SAS Survey procedures, and Stata are statistical software packages that can be used to analyze survey data such as NHANES.
National Center for Health
Statistics
3311 Toledo Road
Hyattsville, MD 20782
Phone: 1-866-441-NCHS (6247)
For data inquiries, use
nchsquery@cdc.gov
Problems or comments about the Tutorial?
Email the Tutorial Team:
NHANESWebTutorial@cdc.gov
Centers for Disease Control and Prevention, 1600 Clifton Rd, Atlanta, GA 30333, U.S.A
Tel: (404) 639-3311 / Public Inquiries: (404) 639-3534 / (800) 311-3435