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Activity Number: 654 - Evaluating and Reducing Nonsampling Errors in Surveys
Type: Contributed
Date/Time: Thursday, August 1, 2019 : 10:30 AM to 12:20 PM
Sponsor: Government Statistics Section
Abstract #304904 Presentation
Title: Approaches for Performing Age-Adjustment in Trend Analysis
Author(s): Xianfen Li* and Mary Ann Bush
Companies: NCHS/CDC and NCHS
Keywords: trend analysis; survey; age-adjustment; 2000 U.S. standard population; linear regression

The National Center for Health Statistics (NCHS) produces publications on a wide range of health indicators from its survey data systems. Many of these reports present analyses of trends over time. Age-adjustment is used to minimize differences in observed estimates that result from changes to the age structure in a population over time. In NCHS trend analyses, age-adjusted estimates are calculated using the age distribution for the year 2000 U.S. standard population. This paper will describe two linear regression trending approaches involving age-adjusted estimates. One approach is the adjustment of the survey sample weights to reflect age-adjustment. The other approach uses age as a covariate in a regression model. The two approaches are compared to provide NCHS survey data users with options for their trend analysis work.

Authors who are presenting talks have a * after their name.

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