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NHANES I Web Tutorial A-Z Index

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

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A-Z Index
  1. A
  2. B
  3. C
  4. D
  5. E
  6. F
  7. G
  8. H
  9. I
  10. J
  11. K
  12. L
  13. M
  14. N
  15. O
  16. P
  17. Q
  18. R
  19. S
  20. T
  21. U
  22. V
  23. W
  24. X
  25. Y
  26. Z
  27. #