Below is a listing of all the sample code and datasets used in the NHANES III tutorial. They are organized by module and then task. If a module or task is not listed it is because it did not have a related program. All programs are SAS programs (i.e. SAS Survey Procedures or SAS-callable SUDAAN) and the datasets are SAS datasets for Windows.

Program code used in this tutorial follow procedures available in SAS 9.1 or SAS 8.0 and SUDAAN 9.0 or SUDAAN 8.0.

These programs use variable formats listed in the Tutorial Formats page. You may need to format the variables in your dataset the same way to reproduce results presented in the tutorial.

 

Download Data Files

• Task 3a: How to Create NHANES III Datasets
for SAS/SUDAAN
• Program to Extract Data from Transport (.XPT) Format and Create SAS Dataset

• Task 3c: How to Create NHANES III Datasets
for Stata
• Program to Create NHANES III Stata Dataset
• Stata Dictionary File for Adult Data File

 

Keep & Merge Datasets

• Zip file of all programs and datasets for this module
   
• Task 1: How to Keep NHANES III Data
  
  
  • NHANES III Adult Dataset
  • NHANES III Youth Dataset
  • NHANES III Lab Dataset
  • NHANES III Exam Dataset
  • Program to Directly Keep Datasets
  • Output of Program to Check Datasets Contents

   

• Task 2: How to Merge NHANES III Data
   
  • NHANES III Adult Dataset
  • NHANES III Youth Dataset
  • NHANES III Lab Dataset
  • NHANES III Exam Dataset
  • Program to Merge Data and Check Contents of Data
  • Output of Program to Sort Data, Merge Data, and Check Contents
  
  

Clean & Recode Data

• Zip file of all programs, output, and datasets for this module
   
• Task 1: How to Identify, Recode, and Evaluate Missing Data

 
• Step 1: Identify Missing and Unavailable Values
  • NHANES III Dataset
  • proc means
  • Output of Program to identify Missing and Unavailable Values
     
• Step 2: Recode Unavailable Values as Missing
  • NHANES III Dataset
  • Program to Assign Missing Values One Variable at a Time and by Group Using an Array
     
• Step 3: Evaluate Extent of Missing Data
  • NHANES III Dataset
  • Program to Check the extent of missing data
  • Output of Program to Evaluate Extent of Missing Data
     

• Task 2: How to Check for Skip Patterns and Explain How they Affect Results
   
  • Step 2: Check Data for Skip Patterns
    • NHANES III Dataset
    • Program to Check Data for Skip Patterns
    • Output of Program to Check for Skip Patterns
       
  • Step 3: Recode Data as Necessary
    • NHANES III Dataset
    • Program to Directly Recode Variable and Check After Recoding and Create Derived Variable
    • Output of Program to Recode Skip Patterns
      
       
• Task 3: How to Check Distributions and Describe the Impact of Influential Outliers
   
  • Step 1: Check distributions by running univariate analysis
    • NHANES III Dataset
    • Program to Plot Distribution of Continuous Variable
    • Output of Program to Check Distributions
       
  • Step 2: Plot Graph of Survey Weight Against Distribution of Variable
    • NHANES III Dataset
    • Program to Plot Exam Weight Against Fasting Cholesterol
    • Output of Program to Plot Survey Weight against the Distribution of the Variable
       
  • Step 3: Identify Outliers and Compare Estimate with and without Outliers
    • NHANES III Dataset
    • Program to Create Dataset Without Outliers and Output Means of Both Datasets
    • Output of Program to Create Dataset without Outliers and Compare to Dataset with Outliers
      
       
• Task 4: How to Recode Variables
   
  • Step 1: Recode Based on Alternate Definitions
    • NHANES III Dataset
    • Program to Recode as Necessary Based on Alternate Definitions

     

  • Step 2: Check Derived Variables
    • NHANES III Dataset
    • Program to Check Recodes Using Cross Tabulations or proc means
    • Output of Program to Check Derived Variables
       

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