Tutorial Objectives
The tutorial objectives are to learn the following:
Module 1: Survey
Overview
- Review survey history (Task
1)
- Describe survey methodology (Task
2)
- Explain uses of the data (Task
3)
Module 2: Navigate NHANES Website
- Navigate the NHANES homepage (Task
1)
- Find datasets (Task
2)
- Find survey background information (survey contents and
data collection methods) (Task
3)
- Find the Analytic and Reporting Guidelines (Task
4)
- Use the What's New page (Task
5)
- Review the Frequently Asked Questions (FAQs) (Task
6)
- Find important NHANES citations (Task
7)
- Identify how to get help (Task
8)
Module 3: Data Structure &
Contents
- Explain NHANES Data Structure (Task
1)
Module 4: Locate Variables
- Decide which variables to include
(Task 1)
- Identify variable names and file
locations (Task
2)
- Consult the documentation (Task
3)
Module 5: Download Data Files
- Create a directory (Task
1)
- Download data files and documentation (Task
2)
- Extract and copy NHANES data
files as permanent libraries (Task
3)
Module 6: Append & Merge Datasets
- Append NHANES Data (Task
1)
- Merge NHANES Data (Task2)
Module 7: Clean & Recode Data
- Evaluate missing data (Task
1)
-
Evaluate skip patterns
(Task
2)
- Evaluate outliers (Task
3)
- Recode variables (Task
4)
Module 8: Format & Label Variables
- Format and label variables (Task
1)
Module 9: Save Dataset
- Create a permanent dataset in a SAS library (Task
1).
Module 10: Sample Design
- Explain sampling and oversampling
in NHANES (Task
1)
- Specify sampling parameters in NHANES using SUDAAN or SAS Survey
Procedures (Task
2)
Module 11: Weighting
- Explain weighting in NHANES (Task
1)
- Select the correct weight (Task
2)
- Construct weights for combined survey cycles (Task
3)
- Create appropriate subsets of data for NHANES Analyses (Task
4)
Module 12: Variance Estimation
- Explain variance estimation in
NHANES (Task
1)
- Describe the method used for variance
estimation used in NHANES (Task
2)
- Calculate degrees of freedom for
performing statistical tests and confidence limits (Task
3)
Module 13: Descriptive Statistics
- Check frequency distribution and normality (Task
1)
- Generate percentiles (Task
2)
- Generate means (Task
3)
- Generate proportions (Task
4)
Module 14: Hypothesis Testing
- Use the t-test statistic (Task
1)
- Generate confidence intervals (Task
2)
- Perform Chi-square test (Task
3)
Module 15: Age Standardization
and Population Estimates
- Calculate estimates using age standardization
(Task
1)
- Calculate population estimates of a given
health condition (Task
2)
Module 16: Linear Regression
- Describe linear regression (Task
1)
- Develop linear regression models for NHANES
data (Task
2)
Module 17: Logistic
Regression
-
Describe logistic regression
(Task
1)
-
Set up logistic regression
of NHANES data (Task
2)
- Explain differences between SAS
and SUDAAN procedures
logistic regression output (Task
3)
Page Last Modified:
March 10, 2008