National Health and Nutrition Examination Survey (NHANES) Web Tutorial - NHANES Analyses (Web-based)
Course Number: WB1162
These modules will provide an overview of some of the analyses commonly used with National Health and Nutrition Examination Survey (NHANES) data. The Descriptive Statistics and Hypothesis Testing modules demonstrate generating means, proportions, t-tests and chi-square estimates. The Age Standardization and Population Estimates module introduces combining NHANES data with U.S. Census Bureau data. The Linear and Logistic Regression modules explain how to examine the relationship between a covariate(s) and a health outcome and assess the probability of a disease as a function of risk factors.
TARGET AUDIENCE: This course is targeted to a broad range of NHANES users public health and other government staff involved in NHANES analyses research and education community analysts who use NHANES for scientific studies or education purposes public health and medical professionals who use NHANES data for planning, policy making or public health programs and other users of NHANES statistics or groups interested in NHANES.
MATERIALS: Web Browser with Adobe Acrobat Reader plug-in installed and connected to the internet. Adobe Flash plug-in and speakers recommended but not required. If you wish to create you own dataset and use the sample datasets and programs provided, you will also need SAS version 9.0 or SUDAAN version 8.0 and higher.
PREREQUISITES: Basic knowledge of epidemiological concepts (e.g., prevalence estimates and odds ratios) basic knowledge and skills in statistical analyses (e.g., ability to run frequently used descriptive and inferential statistics, and correctly interpret the results) and basic knowledge and skills in SUDAAN and/or SAS statistical software.