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 ComputerAssisted Self
Interview (AudioCASI),
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
ComputerAssisted Personal Interview,
Survey Overview, Survey
Methodology
ComputerAssisted 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 ClopperPearson 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
Inhome Interview,
see ComputerAssisted Personal Interview
Inperson Interview, see ComputerAssisted
Personal Interview
intraclass 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 