NUMBERS AND
PUNCTUATION
(blank),
Clean & Recode Data, Key Concepts about Missing Data in
NHANES I. (period),
Clean & Recode Data, Key Concepts about Missing Data in
NHANES I
*
Weighting, Overview: Key Concepts about Weighting in
NHANES I
**
Weighting, Overview: Key Concepts about Weighting in
NHANES
***
Weighting, Overview: Key Concepts about Weighting in
NHANES
****
Weighting, Overview: Key Concepts about Weighting in
NHANES
"8", "88", "888", "8888", or "88888",
see "blank, but applicable" response
"9", "99", "999", "9999", or "99999", see
"refused" response A
add variables, see merge data
Adobe Acrobat
search feature,
Locate Variables, How to Decide which NHANES I Variables
to Include by Checking the Documentation
B
"blank, but applicable response",
Clean & Recode Data, Key Concepts about Missing Data in
NHANES I
Balanced Repeat Replication (BRR) Method,
Variance Estimation C
categorical variable,
Clean & Recode Data, How to Recode Variables Based on
Alternate Definitions in NHANES I
check contents,
Keep & Merge
Datasets, How to Keep NHANES I Data
check distribution,
Clean & Recode, Check Distributions and Describe the
Impact of Influential Outliers
codebook, see tape description
continuous variable
creating categorical variable from a,
Clean & Recode Data, How to Recode Variables Based on
Alternate Definitions in NHANES I
D
DAT file,
Download Data Files, Key Concepts about Downloading Data
Files and Documentation
Data File Index,
Locate Variables, How to Identify Variable Names and
File Locations
data documentation,
Locate Variables, Key Concepts about Deciding Which
NHANES I Variables to Include by Checking the
Documentation
data release,
Data Structure & Contents, Key Concepts about the NHANES
I Data Structure
data structure,
Data Structure & Contents
demographics documentation,
Locate Variables, How to Decide which NHANES I Variables
to Include by Checking the Documentation
derived variable,
Clean & Recode Data, How to Recode Variables Based on
Alternate Definitions in NHANES I
detailed notes,
Locate Variables, How to Decide Which NHANES I Variables
to Include by Consulting the Documentation
dietary recall files,
Data Structure & Contents, Key Contents about the NHANES
I Data Structure
download
data files,
Download Data Files, How to Download NHANES I Data
Files, SAS Code, and Documentation
documentation,
Download Data Files, How to Download NHANES I Data Files
and Documentation
E
estimate stability,
Variance Estimation
examination data files,
Download Data Files, How to Download NHANES I Data Files
and Documentation
examination documentation files,
Download Data Files, How to Download NHANES I Data Files
and Documentation
extract data,
Download Data Files, How to Run the SAS Code to Create
NHANES I SAS Datasets F
find variables, see locate variables
frequency tables,
Locate Variables, How to Decide which NHANES I Variables
to Include by Consulting the Documentation
G H I J K
keep statement,
Keep & Merge Datasets, Key Concepts about Keeping Data
in NHANES I
L
laboratory documentation files,
Locate Variables, How to Decide Which NHANES I Variables
to Include by Consulting the Documentation
libname,
Download Data Files, How to Run the SAS Code to Create
the NHANES I SAS Data File in a Permanent Library
library (SAS),
Download Data Files, How to Run the SAS Code to Create
the NHANES I SAS Data File in a Permanent Library
locate variables,
Locate Variables
M
masked variance units (MVU),
Variance Estimation
merge data,
Keep & Merge
Datasets, How to Merge NHANES Data
missing values
acceptable percentage of,
Clean & Recode Data,
Key Concepts about Missing Data in NHANES I
codes for,
Clean & Recode Data,
Key Concepts about Missing Data in NHANES I
identifying,
Clean & Recode Data,
How to Identify and Recode Missing Data in NHANES I

N
n1bm0196 (PSU variable),
Variance Estimation
n1bm0184 (strata variable),
Variance Estimation
O
outliers identify,
Clean & Recode Data, How to Identify Outliers and
Evaluate Their Impact in NHANES I Data
determine impact,
Clean & Recode Data, How to Identify Outliers and
Evaluate Their Impact in NHANES I Data
oversampling,
Sample Design, Key Concepts about NHANES I Sample Design
P
plot survey weight against distribution of
variable,
Clean & Recode Data, How to Identify Outliers and
Evaluate Their Impact in NHANES I Data
primary sampling units (PSU),
Sample Design, Key Concepts about NHANES I Sample Design
variable, see n1bm0196
Q
R
recode data,
Clean & Recode Data, How to Recode Variables Based on
Alternate Definitions in NHANES I
"refused response",
Clean & Recode Data, Key Concepts About Missing Data in
NHANES
S
sample design
NHANES,
Sample Design, Key Concepts about NHANES I Sample Design
sample weights, see
weights, sample
sampling errors, see
variance estimation
sampling procedure,
Sample Design, Key Concepts about NHANES I Sample Design
SEQN, Keep & Merge,
Key Concepts about Keeping Data in NHANES I
specifying sampling parameters
in SAS Survey Procedures,
Sample Design, How to Use SAS Survey Code to Specify
Sampling Parameters
in SUDAAN,
Sample Design, How to Use SUDAAN Code to Specify
Sampling Parameters
skip patterns,
Clean & Recode Data, How to Identify and Recode Skip
Patterns in NHANES Data
sort data,
Keep & Merge
Datasets, How to Merge NHANES I Data
strata,
Sample Design, Key Concepts about NHANES I Sample Design
variable, See n1bm0194
subpopn
creating subgroups with,
Weighting, Creating Appropriate Subsets of Data for
NHANES I Analyses
subsample weights, see weights, subsample
T
tape,
Data Structure & Contents, Key Concepts about NHANES I
Data Structure
tape description,
Locate Variables, How to Decide Which NHANES I Variables
to Include by Consulting the Documentation
tape description summary,
Locate Variables, How to Decide Which NHANES I Variables
to Include by Consulting the Documentation
Taylor Series Linearization,
Variance Estimation U
unavailable values,
Clean & Recode Data, Key Concepts about Missing Data in
NHANES I
V
variable list, see Data File index
variance
estimates,
Variance Estimation
estimation,
Variance Estimation
estimation methods,
Variance Estimation W
weighting,
and nonresponse,
Weighting, Key Concepts about Weighting in NHANES I
in NHANES,
Weighting, Key Concepts about Weighting in NHANES I
weights
creation,
Weighting, Key Concepts About Weighting in NHANES I
sample,
Sample Design, Key Concepts about Specifying Sample
Parameters in NHANES I Using SUDAAN and SAS Survey
Procedure
selecting correct,
Weighting, How to Select the Correct Weight for NHANES I
Analysis
subsample,
Weighting, Key Concepts about Weighting in NHANES I
subset,
Weighting, Key Concepts about Creating Appropriate
Subsets of Data for NHANES Analyses
weight variables,
examination,
Weighting, Key Concepts about Selecting the Correct
Weight in NHANES I &
interview,
Weighting, Key Concepts about Selecting the Correct
Weight in NHANES I
subsample,
Weighting, Key Concepts about Selecting the Correct
Weight in NHANES I X Y
Z 