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NHANES Web Tutorial A-Z Index

This index lists, in alphabetical order, the key concepts and terms used in the tutorial. With each term is the module title and the page it can be found on. Click the hyperlinked module and page title to go the module's homepage, then  click the corresponding page link on the module homepage. Some terms have references to other terms in the A-Z Index instead of hyperlinks to modules. These terms' hyperlinks are prefaced with "see." Clicking the hyperlink will move the page to the section where you can find the referenced term.

NUMBERS

"7", "77", "777", "7777", or "77777", see "don't know" response
"9", "99", "999", "9999", or "99999", see "refused" response

A
add observations, see append data
add variables, see merge data
append data, Append & Merge Datasets, How to Append NHANES Data
ATLEV1 option, Variance Estimation, How to Perform Statistical Tests and Calculate Confidence Limits with Degrees of Freedom
ATLEV2 option, Variance Estimation, How to Perform Statistical Tests and Calculate Confidence Limits with Degrees of Freedom

Audio Computer-Assisted Self Interview (Audio-CASI), Survey Overview, Survey Methodology
 

B
balanced repeated replication, Variance Estimation, Key Concepts about Variance Estimation Methods in NHANES
beta coefficients, Logistic Regression, Key Concepts about Logistic Regression

C
categorical variable, Clean & Recode Data, How to Create Derived Variables from NHANES Data
check contents, Append & Merge Datasets, How to Append NHANES Data
check distribution, Clean & Recode, How to Identify Outliers and Evaluate Their Impact
Computer-Assisted Personal Interview, Survey Overview, Survey Methodology
Computer-Assisted Telephone Interview (CATI), Survey Overview, Survey Methodology
confidence intervals
   alternate methods for calculating, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits
   calculate with Clopper-Pearson method, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits
   calculate with Wald method, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits

confidence limit, see confidence intervals
continuous variable
     creating categorical variable from a, Clean & Recode Data, How to Recode Variables Based on Alternate Definitions
combine data, see append data
cross tabulations, Clean & Recode Data, How to Identify and Recode Skip Patterns

D
data structure, Data Structure & Contents
degrees of freedom
   calculate, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits
   equation, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits
   SAS Survey Procedures macros, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits
   standard error, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits
   subgroups, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits
DEFF, see design effect
DEFT2 option, Variance Estimation, How to Perform Statistical Tests and Calculate Confidence Limits with Degrees of Freedom
delete 1 jackknife method, Variance Estimation, Key Concepts about Variance Estimation Methods in NHANES

demographics documentation files, Locate Variables, How to Consult the Documentation
derived variable, Clean & Recode Data, How to Create Derived Variables from NHANES Data
design effect, Variance Estimation, Key Concepts about Variance Estimation Within NHANES
dietary questionnaire, Survey Overview, Survey Methodology
"don't know" response, Clean & Recode Data, Key Concepts About Missing Data in NHANES
download
     data files, Download Data Files, How to Download Data Files and Documentation
     documentation, Download Data Files, How to Download Data Files and Documentation

E
examination data files, Download Data Files, How to Download Data Files and Documentation
examination documentation files, Download Data Files, How to Download Data Files and Documentation
extract data, Download Data Files, How to Extract and Copy NHANES Data Files as Permanent Libraries

F
format
   define custom, Format & Label variables, How to Format and Label NHANES Variables
   variables, Format & Label variables, How to Format and Label NHANES Variables
find variables, see locate variables
food frequency questionnaire, Survey Overview, Survey Methodology
frequency tables, Locate Variables, How to Consult the Documentation

G

H
Hispanic Health and Nutrition Examination Survey (HHANES), Survey Overview, Survey History

I
In-home Interview, see Computer-Assisted Personal Interview
In-person Interview, see Computer-Assisted Personal Interview

intra-class correlation, Variance Estimation, Key Concepts about Variance Estimation Within NHANES

J

K
keep statement, Append & Merge Datasets, How to Append NHANES Data

L
label variables, Format & Label variables, How to Format and Label NHANES Variables
laboratory data file
laboratory documentation files, Locate Variables, Key Concepts About Deciding Which NHANES Variables to Include
libname, Download Data Files, How to Extract and Copy NHANES Data Files to Permanent Libraries
library (SAS), Download Data Files, How to Extract and Copy NHANES Data Files to Permanent Libraries
locate variables, Locate Variables
logistic regression
   Logistic Regression

   differences in output, Logistic Regression, Key Concepts About Differences Between SUDAAN and SAS Survey Procedures Logistic Regression Output
   multivariate, Logistic Regression, Key Concepts about Setting Up a Logistic Regression in NHANES
   univariate, Logistic Regression, Key Concepts about Setting Up a Logistic Regression in NHANES
logit function, Logistic Regression, Key Concepts about Logistic Regression

logit model, Logistic Regression, Key Concepts about Logistic Regression



    

 

M
masked variance units (MVU), Sample Design, Key Concepts about Sampling and Oversampling in NHANES
MEC
    Examination, Survey Overview, Survey Methodology

     staff, Survey Overview, Survey Methodology
merge data, Append & Merge Datasets, How to Merge NHANES Data
missing values
     acceptable percentage of, Clean & Recode Data, How to Identify and Recode Missing Data in NHANES
     codes for, Clean & Recode Data, How to Identify and Recode Missing Data in NHANES
     identifying, Clean & Recode Data, How to Identify and Recode Missing Data in NHANES

N
National Center for Health Statistics (NCHS), Survey Overview, Survey History

National Health and Nutrition Examination Survey (NHANES)
     I, Survey Overview, Survey History
     II, Survey Overview, Survey History
     III, Survey Overview, Survey History
     continous (or current), Survey Overview, Survey History
     goals of, Survey Overview, Survey History
     impact on public health policy, Survey Overview, Uses of the Data
     methodology, Survey Overview, Survey Methodology
     survey history, Survey Overview, Survey History
National Health Examination Surveys (NHES),
     I, Survey Overview, Survey History
     II, Survey Overview, Survey History
     III, Survey Overview, Survey History

National Health Survey Act of 1956, Survey Overview, Survey History
 

O
odds, see probability
outliers
     identify, Clean & Recode Data, How to Identify Outliers and Evaluate Their Impact
     determine impact, Clean & Recode Data, How to Identify Outliers and Evaluate Their Impact
oversampling, Sample Design, Key Concepts about Sampling and Oversampling in NHANES

P
physical examination, Survey Overview, Survey Methodology
plot survey weight against distribution of
    variable, Clean & Recode Data, How to Identify Outliers and Evaluate Their Impact
primary sampling units (PSU), Sample Design, Key Concepts about Sampling and Oversampling in NHANES
probability, Logistic Regression, Key Concepts about Logistic Regression

Q
questionnaires, Survey Overview, Survey Methodology

R
recode data, Clean & Recode Data, How to Recode Variables Based on Alternate Definitions
"refused response", Clean & Recode Data, Key Concepts About Missing Data in NHANES
relative standard error,
   NHANES recommended, Variance Estimation, Key Concepts about Degrees of Freedom for Performing Statistical Tests and Calculating Confidence Limits

replication, Variance Estimation, Key Concepts about Variance Estimation Methods in NHANES

S
sample design
    NHANES, Sample Design,
Key Concepts about Sampling and Oversampling in NHANES
sample weights, see weights, sample
sampling errors, see variance estimation
sampling procedure, Sample Design, Key Concepts About NHANES Survey Design
save dataset, Save Datasets, How to  Save NHANES Datasets
sdmvpsu,  Variance Estimation, Key Concepts about Variance Estimation Methods in NHANES
sdmvstra, Variance Estimation, Key Concepts about Variance Estimation Methods in NHANES

SEQN
specifying sampling parameters
     in SAS Survey Procedures, Sample Design,
How to Use SAS Survey Procedures  to Specify Sampling Parameters
     in SUDAAN, Sample Design, How to Use SUDAAN Code to Specify Sampling Parameters
skip patterns
     create derived variables based on, Clean & Recode Data, How to Identify and Recode Skip Patterns in NHANES Data   
     identify, Clean & Recode Data, How to Identify and Recode Skip Patterns in NHANES Data 
     recode variables based on, Clean & Recode Data, How to Identify and Recode Skip Patterns in NHANES Data 
sort data, Append & Merge Datasets, How to Merge NHANES Data
strata, Sample Design, Key Concepts about Sampling and Oversampling in NHANES
subsample weights, see weights, subsample

T
Taylor Series Linearization, Variance Estimation, Key Concepts about Variance Estimation Methods in NHANES
transport format, Download Data Files, Key Concepts About Extracting and Copying NHANES Data Files to Permanent Libraries

U
unavailable values, Clean & Recode Data, Key Concepts About Missing Data in NHANES

V
variable list, Locate Variables, How to Identify Variable Names and File Locations
variance
   estimates, Variance Estimation
   estimation, Variance Estimation
   estimation methods, Variance Estimation, Key Concepts about Variance Estimation Methods in NHANES

W
weighting in NHANES, Weighting, Weighting in NHANES
weights
     combining, see weights, constructing
     constructing, Weighting, Constructing Weights for Combined NHANES Survey Cycless
     sample, Sample Design, Key Concepts About NHANES Survey Design    
     selecting correct, Weighting, Selecting the Correct Weight
     subsample, Weighting, Key Concepts about Weighting in NHANES
     subset, Weighting, Creating Appropriate Subsets of Data for NHANES Analyses
WORK file, Save Datasets, How to Save NHANES Datasets

X
XPORT engine, Download Data Files, Key Concepts About Extracting and Copying NHANES Data Files to Permanent Libraries
XPT format, see transport formatt

Y

Z

 

   
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