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NHANES III Web Tutorial A-Z Index

This index lists, in alphabetical order, the key concepts and terms used in the NHANES III 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 III

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

"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
 

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

C
categorical variable, Clean & Recode Data, How to Recode Variables Based on Alternate Definitions in NHANES III
check contents, Keep & Merge Datasets, How to Keep NHANES III 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 III
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 III Variables to Include
data release, Data Structure & Contents, Key Concepts about the NHANES III 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 III
dietary recall files, Data Structure & Contents, Key Contents about the NHANES III Data Structure
download
     data files, Download Data Files, How to Download NHANES III Data Files, SAS Code, and Documentation
     documentation, Download Data Files, How to Download NHANES III Data Files, SAS Code, and Documentation

E
estimate stability, Variance Estimation
examination data files, Download Data Files, How to Download NHANES III Data Files, SAS Code, and Documentation
examination documentation files, Download Data Files, How to Download NHANES III Data Files, SAS Code, and Documentation
extract data, Download Data Files, How to Run the SAS Code to Create the NHANES III 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 III

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

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


    

 

N

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

P
phase, Data Structure & Contents, Key Concepts about the NHANES III Data Structure
phase 1, Variance Estimation
phase 2, Variance Estimation
phases, comparing, Variance Estimation
plot survey weight against distribution of
    variable, Clean & Recode Data, How to Identify Outliers and Evaluate Their Impact in NHANES III Data
primary sampling units (PSU), Sample Design, Key Concepts about NHANES III Sample Design

Q
 

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

S
sample design
    NHANES, Sample Design, Key Concepts about NHANES III Sample Design
sample weights, see weights, sample
sampling errors, see variance estimation
sampling procedure, Sample Design, Key Concepts about NHANES III Sample Design
sdpstra1, Variance Estimation
sdpstra2, Variance Estimation
sdpstra6,
Variance Estimation
sdppsu1,
Variance Estimation
sdppsu2,
Variance Estimation
sdppsu6,
Variance Estimation
SEQN, Keep & Merge, Key Concepts about Keeping Data in NHANES III
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 III Data   
     identify, Clean & Recode Data, How to Identify and Recode Skip Patterns in NHANES III 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 III Data
strata, Sample Design, Key Concepts about NHANES III Sample Design
subsample weights, see weights, subsample

T
Taylor Series Linearization, Variance Estimation

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

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

X

Y

Z

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A-Z Index
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