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