The tutorial objectives are to learn the following:

Module 1: Survey Overview

1. Review survey history (Task 1)
2. Describe survey methodology (Task 2)
3. Explain uses of the data (Task 3)
   

Module 2: Navigate NHANES Website

1. Navigate the NHANES homepage (Task 1)
2. Locate datasets (Task 2)
3. Find survey background information (survey contents and data collection methods) (Task 3)
4. Find the Analytic and Reporting Guidelines (Task 4)
5. Use the What's New page (Task 5)
6. Review the Frequently Asked Questions (FAQs) (Task 6)
7. Find important NHANES citations (Task 7)
8. Identify how to get help (Task 8)

Module 3: Data Structure & Contents

1. Explain NHANES Data Structure (Task 1)

 

Module 4: Locate Variables

1. Decide which variables to include (Task 1)
2. Identify variable names and file locations (Task 2)
3. Consult the documentation (Task 3)

Module 5: Download Data Files

1. Create a directory (Task 1)
2. Download data files and documentation (Task 2)
3. Extract and copy NHANES data files as permanent libraries (Task 3)

Module 6: Append & Merge Datasets

1. Append NHANES Data (Task 1)
2. Merge NHANES Data (Task2)

Module 7: Clean & Recode Data

1. Evaluate missing data (Task 1)
2. Evaluate skip patterns (Task 2)
3. Evaluate outliers (Task 3)
4. Recode variables (Task 4)

Module 8: Format & Label Variables

1. Format and label variables (Task 1)

Module 9: Save Dataset

1. Create a permanent dataset in a SAS library  (Task 1).

Module 10: Sample Design

1. Explain sampling and oversampling in NHANES (Task 1)
2. Specify sampling parameters in NHANES using SUDAAN or SAS Survey Procedures (Task 2)

Module 11: Weighting

1. Explain weighting in NHANES (Task 1)
2. Select the correct weight (Task 2)
3. Construct weights for combined survey cycles (Task 3)
4. Create appropriate subsets of data for NHANES Analyses (Task 4)

Module 12: Variance Estimation

1. Explain variance estimation in NHANES (Task 1)
2. Describe the method used for variance estimation used in NHANES (Task 2)
3. Calculate degrees of freedom for performing statistical tests and confidence limits (Task 3)

Module 13: Descriptive Statistics

1. Check frequency distribution and normality (Task 1)
2. Generate percentiles (Task 2)
3. Generate means (Task 3)
4. Generate proportions (Task 4)

Module 14: Hypothesis Testing

1. Use the t-test statistic (Task 1)
2. Generate confidence intervals (Task 2)
3. Perform Chi-square test (Task 3)

Module 15: Age Standardization and Population Estimates

1. Calculate estimates using age standardization (Task 1)
2. Calculate population estimates of a given health condition (Task 2)

Module 16: Linear Regression

1. Describe linear regression (Task 1)
2. Develop linear regression models for NHANES data (Task 2)

Module 17: Logistic Regression

1. Describe logistic regression (Task 1)
2. Set up  logistic regression of NHANES data (Task 2)
3. Explain differences between SAS and SUDAAN procedures logistic regression output (Task 3)