New Survey Methodology Study Results from National Health Insurance Service Described (Bayesian Predictive Inference of Small Area Proportions Under Selection Bias) - Insurance News | InsuranceNewsNet

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July 23, 2021 Newswires
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New Survey Methodology Study Results from National Health Insurance Service Described (Bayesian Predictive Inference of Small Area Proportions Under Selection Bias)

South Korea Daily Report

2021 JUL 23 (NewsRx) -- By a News Reporter-Staff News Editor at South Korea Daily Report -- A new study on Survey Methodology is now available. According to news reporting originating from Gangwon Do, South Korea, by NewsRx correspondents, research stated, “In a previous paper, we developed a model to make inference about small area proportions under selection bias in which the binary responses and the selection probabilities are correlated. This is the homogeneous nonignorable selection model; nonignorable selection means that the selection probabilities and the binary responses are correlated.”

Financial support for this research came from Simons Foundation.

Our news editors obtained a quote from the research from National Health Insurance Service, “The homogeneous nonignorable selection model was shown to perform better than a baseline ignorable selection model. However, one limitation of the homogeneous nonignorable selection model is that the distributions of the selection probabilities are assumed to be identical across areas. Therefore, we introduce a more general model, the heterogeneous nonignorable selection model, in which the selection probabilities are not identically distributed over areas. We used Markov chain Monte Carlo methods to fit the three models. We illustrate our methodology and compare our models using an example on severe activity limitation of the U.S. National Health Interview Survey.”

According to the news editors, the research concluded: “We also perform a simulation study to demonstrate that our heterogeneous nonignorable selection model is needed when there is moderate to strong selection bias.”

This research has been peer-reviewed.

For more information on this research see: Bayesian Predictive Inference of Small Area Proportions Under Selection Bias. Survey Methodology, 2021;47(1):91-122. Survey Methodology can be contacted at: Statistics Canada, 100 Tunneys Pasture Driveway, Ottawa, Ontario K1A 0T6, Canada.

The news editors report that additional information may be obtained by contacting Seongmi Choi, National Health Insurance Service, Hlth Insurance Policy Res Ist, Wonju 26464, Gangwon, South Korea. Additional authors for this research include Balgobin Nandram and Dalho Kim.

(Our reports deliver fact-based news of research and discoveries from around the world.)

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