Below is a listing of all the sample code and datasets used in the Continuous NHANES 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. Programs are available as SAS programs (i.e. SAS Survey Procedures and SAS-callable SUDAAN)  and Stata programs. The datasets are SAS or Stata datasets for Windows.

These datasets are intended to be used with the tutorial only, as they may contain a subset of the variables available. If you wish to conduct your own analyses, please download the most current and complete datasets from the NHANES website.

Program code used in this tutorial follow procedures available in SAS 9.1, SAS 8.0 and SUDAAN 9.0 or SUDAAN 8.0, and Stata/SE 10.0.

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 3: How to Extract and Copy NHANES Data Files to Permanent Libraries
• Program to Extract Data from Transport (.XPT) Format

 

• Task 3c: How to Import and Save NHANES Data Files in Stata
  • Program to Extract Data from Transport (.XPT) Format

 

Append & Merge Datasets

• Zip file of all programs and datasets for this module
   
• Task 1: How to Append NHANES Data
  
  
  • Step 1: Check Contents of Datasets
    • 1999-2000 Alcohol Questionnaire Dataset
    • 2001-2002 Alcohol Questionnaire Dataset
    • 1999-2000 Demographic Dataset
    • 2001-2002 Demographic Dataset
    • Program to Check Datasets Contents
    • Output of Program to Check Datasets Contents
       
  • Step 2: Append Directly, if Contents are the Same
    • 1999-2000 Demographic Dataset
    • 2001-2002 Demographic Dataset
    • 1999-2000 Blood Pressure Dataset
    • 2001-2002 Blood Pressure Dataset
    • 1999-2000 Blood Pressure Questionnaire Dataset
    • 2001-2002 Blood Pressure Questionnaire Dataset
    • 1999-2000 Medical Conditions Questionnaire Dataset
    • 2001-2002 Medical Conditions Questionnaire Dataset
    • 1999-2000 Lab 13 Dataset
    • 2001-2002 Lab 13 Dataset
    • Program to Directly Append
       
  • Step 3: Rename Variables and then Append
    • 1999-2000 Alcohol Questionnaire Dataset
    • 2001-2002 Alcohol Questionnaire Dataset
    • Program to Rename Variables and then Append
       
  • Step 4: Check Results
    • 4 Year Alcohol Questionnaire Dataset
    • 4 Year Blood Pressure Dataset
    • 4 Year Blood Pressure Questionnaire Dataset
    • 4 Year Medical Conditions Questionnaire Dataset
    • 4 Year Lab 13 Dataset
    • 4 Year Demographic Dataset
    • Program to Check Results
    • Output of Program to Check Results
       
• Task 2: How to Merge NHANES Data
  • 4 Year Blood Pressure Dataset
  • 4 Year Blood Pressure Questionnaire Dataset
  • 4 Year Blood Medical Conditions Questionnaire
  • 4 Year Lab 13 Dataset
  • 4 Year Demographic Dataset
  • Program to Sort Data, Merge Data, and Check Contents
  • Output of Program to Sort Data, Merge Data, and Check Contents
   

   

• Task 1c and 2c: How Append & Merge NHANES Data in Stata
• Program to Append  & Merge Datasets
• 1999-2000 Alcohol Questionnaire Dataset
• 2001-2002 Alcohol Questionnaire Dataset
• 1999-2000 Blood Pressure Questionnaire Dataset
• 2001-2002 Blood Pressure Questionnaire Dataset
• 1999-2000 Medical Conditions Questionnaire Dataset
• 2001-2002 Medical Conditions Questionnaire Dataset
• 1999-2000 Blood Pressure Examination Dataset
• 2001-2002 Blood Pressure Examination Dataset
• 1999-2000 Lab 13 Dataset
• 2001-2002 Lab 13 Dataset
• 1999-2000 Demographics Dataset
• 2001-2002 Demographics Dataset
• 4-year Alcohol Questionnaire Dataset
• 4-year Blood Pressure Questionnaire Dataset
• 4-year Medical Conditions Questionnaire Dataset
• 4-year Blood Pressure Examination Dataset
• 4-year Lab 13 Dataset
• 4-year Demographic Dataset

Clean & Recode Data

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

 
• Step 1: Identify Missing and Unavailable Values
  • 4 Year Dataset of Demographic and Blood Pressure Variables
  • Program to Identify Missing and Unavailable Values
  • Output of Program to identify Missing and Unavailable Values
     
• Step 2: Recode Unavailable Values as Missing
  • 4 Year Dataset of Demographic and Blood Pressure Variables
  • Program to Recode Unavailable Values as Missing
  • Output of Program to Recode Unavailable Values as Missing
     
• Step 3: Evaluate Extent of Missing Data
  • 4 Year Dataset of Demographic and Blood Pressure Variables with Recoded Unavailable Values
  • Program to Evaluate Extent of Missing Values
  • Output of Program to Evaluate Extent of Missing Data
     

• Task 2: How to Identify and Recode Skip Patterns in NHANES Data
   
  • Step 2: Check Data for Skip Patterns
    • 4 Year Dataset of Demographic and Blood Pressure Variables with Recoded Unavailable Values
    • Program to Check for Skip Patterns
    • Output of Program to Check for Skip Patterns
       
  • Step 3: Recode Skip Pattern
    • 4 Year Dataset of Demographic and Blood Pressure Variables with Recoded Unavailable Values
    • Program to Recode Skip Patterns
    • Output of Program to Recode Skip Patterns
       
• Task 3: How to Identify Outliers and Evaluate Their Impact
   
  • Step 1: Check Distributions
    • 4 Year Dataset of Demographic and Blood Pressure Variables with Recoded Skip Patterns
    • Program to Check Distributions
    • Output of Program to Check Distributions
       
  • Step 2: Plot Graph of Survey Weight Against Distribution of Variable
    • 4 Year Dataset of Demographic and Blood Pressure Variables with Recoded Skip Patterns
    • Program to Plot Survey Weight against the Distribution of the Variable
    • Output of Program to Plot Survey Weight against the Distribution of the Variable
       
  • Step 3: Identify Outliers and Compare Estimate with and without Outliers
    • Dataset with Outliers
    • Program to Create Dataset without Outliers and Compare to Dataset with Outliers
    • Output of Program to Create Dataset without Outliers and Compare to Dataset with Outliers
       
• Task 4: How to Create Derived Variables from NHANES Data
   
  • Step 1: Recode Based on Alternate Definitions
    • Dataset
    • Program to Create Derived Variables

     

  • Step 2: Check Derived Variables
    • Dataset with Derived Variables
    • Program to Check Derived Variables
    • Output of Program to Check Derived Variables
       
• Task 1c, 2c, 3c, and 4c: How Clean & Recode NHANES Data in Stata
• Program to Clean & Recode Data
• demo_bp1 Dataset
• demo_bp2a Dataset
• demo_bp2b Dataset
• demo_bp3 Dataset
• exclu_3sps Dataset

Format & Label Variables

• Zip file of all programs and datasets for this module
   
• Task 1: How to Format and Label NHANES Variables

 
• Dataset
• Program to Format and Label Variables
 
• Task 1c: How Format & Label NHANES Data in Stata
• Program to Format & Label Data
• Dataset

 

Save Datasets

• Zip file of all program  and datasets for this module
   
• Task 1: How to Save Datasets

 
• Dataset
• Program to Save Dataset
   
• Task 1c: How Save NHANES Data in Stata
• Program to Save Dataset
• Dataset

 

Descriptive Statistics

• Task 1a:
Check Frequency Distribution and Normality
 
• Step 1:
Use the univariate procedure to generate descriptive statistics in SAS
• Dataset
• Program for Descriptive Statistics
• Output of Program for Descriptive Statistics


• Step 3:
Request selective statistics and output results to SAS dataset
• Dataset
• Program for Selective Statistics
• Output of Program for Selective Statistics

 

• Task 1c: How to Check Frequency Distribution and Normality in Stata

 
• Step 1: Use the summarize command to generate weighted summary statistics for a population subset
• Dataset
• Program for Descriptive Statistics
• Output of Program for Descriptive Statistics
   
• Step 3: Use tabstat to request selective statistics
• Dataset
• Program for Selective Statistics
• Output of Program for Selective Statistics

• Task 2:
Generate Percentiles
 
• Dataset
• Program to Generate Percentiles in SUDAAN
• Output of Program to Generate Percentiles in SUDAAN
   
• Task 3a:
Generate Means Using SUDAAN
 
• Step 1:
Use proc descript to Generate Means in SUDAAN
• Dataset
• Program to Generate Means in SUDAAN
• Output of Program to Generate Means in SUDAAN
• Program to Generate Means in SAS Survey Procedures
• Output of Program to Generate Means in SAS Survey Procedures
   
• Step 4: Use proc descript to Generate Geometric Means in SUDAAN
  • Dataset
  • Program to Generate Geometric Means in SUDAAN
  • Output of Program to Generate Geometric Means in SUDAAN

• Task 3b:
Generate Means Using SAS Survey Procedures
• Dataset
• Program to Generate Means in SAS Survey Procedures
• Output of Program to Generate Means in SAS Survey Procedures

 

• Task 3c:
Generate Means Using Stata
 
• Step 2:
Use svy:mean to generate means and standard errors in Stata
• Dataset
• Program to Generate Means in Stata
• Output of Program to Generate Means in Stata
• Program to Generate Geometric Means in Stata
• Output of Program to  Generate Geometric Means in Stata
 
• Task 4a:
Generate Proportions Using SUDAAN
 
• Dataset
• Program to Generate Proportions Using SUDAAN
• Output of Program to Generate Proportions Using SUDAAN
   
• Task 4b: Generate Proportions Using SAS Survey Procedures

 
• Dataset
• Program to Generate Proportions Using SAS Survey Procedures
• Output of Program to Generate Proportions Using SAS Survey Procedures
   
• Task 4c: Generate Proportions Using Stata
   
  • Dataset
  • Program to Generate Proportions Using Stata
  • Output of Program to Generate Proportions Using Stata
     

Hypothesis Testing

• Task 1a: Set Up a t-test in NHANES Using SUDAAN

 
• Step 1: Set Up SUDAAN to Produce Means
• Dataset
• Program to Produce Means in SUDAAN
• Output of Program to Produce Means in SUDAAN
   
• Step 3: Perform t-test to Test for Significance
• Dataset
• Program to Test for Significance
• Output of Program to Test for Significance
   

• Task 1b: Set Up a t-test in NHANES Using SAS Survey Procedures
   
  • Step 2: Set Up SAS Survey Procedures to Produce Means
  • Dataset
  • Program to Produce Means in SAS Survey Procedures
  • Output of Program to Produce Means in SAS Survey Procedures
     
  • Step 4: Perform t-test to Test for Significance
  • Dataset
  • Program to Test for Significance in SAS Survey Procedures
  • Output of Program to Produce t-test in SAS Survey Procedures
     
• Task 1c: Set Up a t-test in NHANES Using Stata
   
  • Dataset
  • Program to Test for Significance in Stata
  • Output of Program to Test for Significance in Stata
   

   

• Task 2a: Generate Confidence Intervals
for Geometric Means Using SUDAAN
 
• Dataset
• Program to Generate Geometric Mean, Standard Error, and Confidence Intervals in SUDAAN
• Output of Program to Generate Geometric Mean, Standard Error, and Confidence Intervals in SUDAAN
   
• Task 2c: Generate Confidence Intervals
and Geometric Means Using Stata
 
• Dataset
• Program to Generate Geometric Mean, Standard Error, and Confidence Intervals in Stata
• Output of Program to Generate Geometric Mean, Standard Error, and Confidence Intervals in Stata
  
   
• Task 3a: Perform Chi-Square Test
Using SUDAAN
 
• Dataset
• Program to Calculate Chi-Square Using SUDAAN
• Output of Program to Calculate Chi-Square Using SUDAAN



 

• Task 3b: Perform Chi-Square Test Using SAS Survey Procedures
   
  • Dataset
  • Program to Calculate Chi-Square Using SAS Survey Procedures
  • Output of Program to Calculate Chi-Square Using SAS Survey Procedures  

   

• Task 3c: Perform Chi-Square Test
Using Stata
 
• Dataset
• Program to Calculate Chi-Square Using Stata
• Output of Program to Calculate Chi-Square Using Stata

Age Standardization and Population Counts

• Task 1a:
How to Generate Age-Adjusted Prevalence Rates in SUDAAN


• Step 1
: How to Generate Age-Adjusted Prevalence Rates in SUDAAN
• Dataset
• Standard Proportions for NHANES Population Groupings
• Program to Generate Age-Adjusted Prevalence Rates
• Output of Program to Generate Age-Adjusted Prevalence Rates
   
• Optional Step 2: How to Generate Age-Adjusted Means
• Dataset
• Standard Proportions for NHANES Population Groupings
• Program to Generate Age-Adjusted Means
• Output of Program to Generate Age-Adjusted Means

 

• Task 1b:
How to Generate Age-Adjusted Prevalence Rates in SAS Survey Procedures


• Step 1
: How to Generate Age-Adjusted Prevalence Rates in SAS Survey Procedures
• Dataset
• Standard Proportions for NHANES Population Groupings
• Program to Generate Age-Adjusted Prevalence Rates
• Program to Generate Unadjusted Prevalence Rates
• Output of Program to Generate Age-Adjusted Prevalence Rates
• Output of Program to Generate Unadjusted Prevalence Rates
   
• Optional Step 2: How to Generate Age-Adjusted Means
in SAS Survey Procedures
• Dataset
• Standard Proportions for NHANES Population Groupings
• Program to Generate Age-Adjusted Means
• Program to Generate Unadjusted Means
• Output of Program to Generate Age-Adjusted Means
• Output of Program to Generate Unadjusted Means
   
• Task 1c: How to Generate Age-Adjusted Prevalence Rates in Stata
  
  
  • Step 1: How to Generate Age-Adjusted Prevalence Rates in Stata
  • Dataset
  • Standard Proportions for NHANES Population Groupings
  • Program to Generate Age-Adjusted Prevalence Rates in Stata
  • Output of Program to Generate
  Age-Adjusted Prevalence Rates in Stata
  
  
  • Optional Step 2: How to Generate Age-Adjusted Means in Stata
  • Dataset
  • Standard Proportions for NHANES Population Groupings
  • Program to Generate Age-Adjusted Means in Stata
  • Output of Program to Generate Age-Adjusted Means in Stata
  
  
• Task 2a: Generate Population Counts in SUDAAN

 
• Dataset
• CPS Population Totals
• Program to Calculate Population Counts
• Output of Program to Calculate Population Counts
   
• Task 2b: Generate Population Counts in SAS Survey Procedures

 
• Dataset
• CPS Population Totals
• Program to Calculate Population Counts
• Output of Program to Calculate Population Counts
  
   
• Task 2c: Generate Population Counts in Stata
• Dataset
• CPS Population Totals
• Program to Calculate Population Totals
• Output of Program to Calculate Population Totals

 

Linear Regression

• Task 2a: Set Up Linear Regression using SUDAAN
   
  • Dataset
  • Program for Multiple Linear Regression
  • Output of Program for Multiple Linear Regression
     

• Task 2b: Set Up Linear Regression using SAS Survey Procedures
   
  • Dataset
  • Program for Multiple Linear Regression
  • Output of Program for Multiple Linear Regression
    
  
  
  
• Task 2c: Set Up Linear Regression using Stata
   
  • Dataset
  • Program for Multiple Linear Regression
  • Output of Program for Multiple Linear Regression
   

Logistic Regression

• Task 2a:
How to Use SUDAAN Code to Perform Logistic Regression

 

• Step 1: SUDAAN Univariate Logistic Regression
• Dataset
• Program to Perform Univariate Logistic Regression
• Output of Program to Perform Univariate Logistic Regression

 

• Step 3: SUDAAN Multivariate Logistic Regression
• Dataset
• Program to Perform Multivariate Logistic Regression
• Output of Program to Perform Multivariate Logistic Regression

 

• Task 2b: How to Use SAS Survey Procedures to Perform Logistic Regression

 
• Dataset
• Program to Perform Multivariate Logistic Regression
• Output of Program to Perform Multivariate Logistic Regression
  
   
• Task 2c: How to Use Stata Code to Perform Logistic Regression

 
• Dataset
• Program to Perform Multivariate Logistic Regression
• Output of Program to Perform Multivariate Logistic Regression

 

Page Last Modified: April 13, 2009