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NHANES II Web Tutorial A-Z Index

This index lists, in alphabetical order, the key concepts and terms used in the NHANES II 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 AND PUNCTUATION
  (blank), Clean & Recode Data, Key Concepts about Missing Data in NHANES II

. (period), Clean & Recode Data, Key Concepts about Missing Data in NHANES II

.exe, see self-extracting zip file

"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
ASCII, Download Data Files, Key Concepts about Downloading NHANES II Data Files and Documentation
 

B
"blank, but applicable response", Clean & Recode Data, Key Concepts about Missing Data in NHANES II
Balanced Repeat Replication (BRR) Method, Variance Estimation

C
categorical variable, Clean & Recode Data, How to Recode Variables Based on Alternate Definitions in NHANES II
check contents, Keep & Merge Datasets, How to Keep NHANES II Data
check distribution, Clean & Recode, Check Distributions and Describe the Impact of Influential Outliers
continuous variable
     creating categorical variable from a, Clean & Recode Data, How to Recode Variables Based on Alternate Definitions in NHANES II
cross tabulations, Clean & Recode Data, Check for Skip Patterns and Explain How They Affect Results
 

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 II Variables to Include
data release, Data Structure & Contents, Key Concepts about the NHANES II Data Structure
data structure, Data Structure & Contents
demographics documentation files, Locate Variables, How to Consult the Data File Documentation
derived variable, Clean & Recode Data, How to Recode Variables Based on Alternate Definitions in NHANES II
dietary recall files, Data Structure & Contents, Key Contents about the NHANES II Data Structure
download
     data files, Download Data Files, How to Download NHANES II Data Files, SAS Code, and Documentation
     documentation, Download Data Files, How to Download NHANES II Data Files, SAS Code, and Documentation

E
estimate stability, Variance Estimation
examination data files, Download Data Files, How to Download NHANES II Data Files, SAS Code, and Documentation
examination documentation files, Download Data Files, How to Download NHANES II Data Files, SAS Code, and Documentation
exe file, see self-extracting zip file
executable file, see self-extracting zip file
extract data, Download Data Files, How to Run the SAS Code to Create the NHANES II SAS Data File in a Permanent Library

F
find variables, see locate variables
frequency tables, Locate Variables, How to Consult the Data File Documentation

G

H

I

J

K
keep statement, Keep & Merge Datasets, Key Concepts about Keeping Data in NHANES II

L
laboratory documentation files, Locate Variables, How to Decide Which NHANES II Variables to Include
libname, Download Data Files, How to Run the SAS Code to Create the NHANES II SAS Data File in a Permanent Library
library (SAS), Download Data Files, How to Run the SAS Code to Create the NHANES II SAS Data File in a Permanent Library
locate variables, Locate Variables
 

M
masked variance units (MVU), Sample Design, Key Concepts about NHANES II Sample Design
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 II
     codes for, Clean & Recode Data, Key Concepts about Missing Data in NHANES II
     identifying, Clean & Recode Data, How to Identify and Recode Missing Data in NHANES II


    

 

N
n2ah0324 (stratum variable), Variance Estimation
n2ah0326
(PSU variable), Variance Estimation

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

P
Plan and operations report, Locate Variables, Key Concepts about Deciding Which NHANES II Variables to Include
plot survey weight against distribution of
    variable, Clean & Recode Data, How to Identify Outliers and Evaluate Their Impact in NHANES II Data
primary sampling units (PSU), Sample Design, Key Concepts about NHANES II Sample Design
   variable, see n2ah0326

Q
 

R
recode data, Clean & Recode Data, How to Recode Variables Based on Alternate Definitions in NHANES II
"refused response", Clean & Recode Data, Key Concepts About Missing Data in NHANES

S
sample design
    NHANES, Sample Design, Key Concepts about NHANES II Sample Design
sample weights, see weights, sample
sampling errors, see variance estimation
sampling procedure, Sample Design, Key Concepts about NHANES II Sample Design
self-extracting zip file, Download Data Files, Key Concepts about Downloading NHANES II Data Files and Documentation
SEQN, Keep & Merge, Key Concepts about Keeping Data in NHANES II
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
     create derived variables based on, Clean & Recode Data, How to Identify and Recode Skip Patterns in NHANES II Data   
     identify, Clean & Recode Data, How to Identify and Recode Skip Patterns in NHANES II Data
     recode variables based on, Clean & Recode Data, How to Identify and Recode Skip Patterns in NHANES Data 
sort data, Keep & Merge Datasets, How to Merge NHANES II Data
strata, Sample Design, Key Concepts about NHANES II Sample Design
   variable, see n2ah0324
subsample weights, see weights, subsample

T
tapes, Data Structure & Contents, Key Concepts about NHANES II Data Structure
Taylor Series Linearization, Variance Estimation
transport file format, Data Structure & Contents, Key Concepts about NHANES II Data Structure

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

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 II
     in NHANES, Weighting, Key Concepts about Weighting in NHANES II
weights
     creation, Weighting, Key Concepts About Weighting in NHANES II
     sample, Sample Design, Key Concepts about Specifying Sample Parameters in NHANES II Using SUDAAN and SAS Survey Procedure
     selecting correct, Weighting, How to Select the Correct Weight for NHANES II Analysis
     subsample, Weighting, Key Concepts about Weighting in NHANES II
     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 II
&       interview, Weighting, Key Concepts about Selecting the Correct Weight in NHANES II
     subsample, Weighting, Key Concepts about Selecting the Correct Weight in NHANES II

X

Y

Z

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