Linear Regression

Purpose

Linear Regression models, both simple and multiple, assess the association between independent variable(s) (X_i) — 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.

Task 1: Describe Linear Regression

Before setting up a regression model, it is useful to understand the basic concepts and formulas used in linear regression models.

• Key Concepts about Linear Regression

Task 2: Develop Linear Regression Models for NHANES Data

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.

• Key Concepts about Developing Linear Regression Models for NHANES Data Using SUDAAN and SAS Survey Procedures
• How to Set Up Linear Regression Using SUDAAN
• How to Set Up Linear Regression Using SAS Survey Procedures
• How to Set Up Linear Regression Using Stata
• Download Sample Code and Dataset

Continuous NHANES Tutorial Home

Survey Orientation

Preparing an Analytic Dataset

Survey Design Factors

NHANES Analyses

Additional Resources

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