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Activity Number:
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295
- SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 1
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Type:
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Contributed
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Date/Time:
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Tuesday, July 30, 2019 : 8:30 AM to 10:20 AM
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Sponsor:
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Survey Research Methods Section
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Abstract #306523
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Title:
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Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey
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Author(s):
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Benmei Liu* and Elise Rice and Richard Moser
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Companies:
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National Cancer Institute and National Institute of Dental and Craniofacial Research and National Cancer Institute
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Keywords:
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cancer fatalistic beliefs;
Model-based estimates;
MCMC;
model validation;
mapping
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Abstract:
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GIS maps using the Health Information National Trends Survey (HINTS) data can provide a visual representation of possible geographic relationships in HINTS cancer-related knowledge variables. However, due to instability in some state values from relatively small sample sizes, the GIS maps that have been developed cannot provide specific state-level or county-level estimates of HINTS variables. Rather, they can mainly illustrate regional differences. The goal of this research is to develop model-based methodology through small area estimation (SAE) techniques to produce state- and county-level estimates on several outcomes related to fatalistic beliefs about cancer. Both area-level and unit-level models are explored. This paper describes the methodology used and presents the results.
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Authors who are presenting talks have a * after their name.
