Abstract #300534

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JSM 2002 Abstract #300534
Activity Number: 251
Type: Contributed
Date/Time: Tuesday, August 13, 2002 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistical Computing*
Abstract - #300534
Title: Influential Observations in the National Health and Nutrition Examination Survey, 1999-2000
Author(s): Margaret Carroll*+ and Lester Curtain
Affiliation(s): National Center for Health Statistics and National Center for Health Statistics
Address: 6525 Belcrest Rood Room 900, Hyattsville, Maryland, 20782, USA
Keywords: Outlier ; Complex Sample
Abstract:

Outlier detection is a fundamental component of data analysis. In a classical setting, an observation which is unusually high, when compared to the other observations in the sample, can have a substantial impact on estimates of population parameters.

The National Health and Nutrition Examination Survey, 1999-2000 (NHANES, 1999-2000), conducted by the National Center for Health Statistics, consists of a relatively small sample of 9,965 persons and has observations on interview items, examination components and laboratory values for sera samples. Because of oversampling for 76 analytic subdomains and subsampling for laboratory values, the final adjusted sample weights range from 974 to 236,864. In this talk we present examples of influential observations and discuss possible analytic approaches in the context of mean-square error.

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