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Activity Number: 354 - SPEED: Big Data, Small Area Estimation, and Methodological Innovations Under Development, Part 2
Type: Contributed
Date/Time: Tuesday, July 30, 2019 : 10:30 AM to 11:15 AM
Sponsor: Survey Research Methods Section
Abstract #307748
Title: Small Area Estimation on Fatalistic Beliefs About Cancer Using the Health Information National Trends Survey
Author(s): Benmei Liu* and Elise Rice and Richard Moser
Companies: National Cancer Institute and National Institute of Dental and Craniofacial Research and National Cancer Institute
Keywords: cancer fatalistic beliefs; Model-based estimates; MCMC; model validation; mapping

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.

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

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