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National Health and Nutrition Examination Survey: Estimation Procedures, 2011-2014.

Authors: Te-Ching, Chen; Jennifer D, Parker; Jason, Clark; Hee-Choon, Shin; Jennifer R, Rammon; Vicki L, Burt;

National Health and Nutrition Examination Survey: Estimation Procedures, 2011-2014.

Abstract

This report describes the methods used to create NHANES 2011-2014 sample weights and variance units for the public-use data files, including sample weights for selected subsamples, such as the fasting subsample. The impacts of sample design changes on estimation for NHANES 2011-2014 and the addition of the NHANES National Youth Fitness Survey (NNYFS) 2012 are described. Approaches that data users can employ to modify sample weights when combining survey cycles or when combining subsamples are also included.

Keywords

Adult, Aged, 80 and over, Male, Adolescent, Infant, Newborn, Infant, Middle Aged, Models, Theoretical, Nutrition Surveys, United States, Bias, Socioeconomic Factors, Research Design, Child, Preschool, Data Interpretation, Statistical, Sample Size, Humans, Female, Child, Aged

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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