國家衛生研究院 NHRI:Item 3990099045/15597
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    题名: Iterative estimating equations for disease mapping with spatial zero-inflated Poisson data
    作者: Lin, PS;Zhu, J;Lin, FC
    贡献者: Institute of Population Health Sciences
    摘要: Spatial epidemiology often involves the analysis of spatial count data with an unusually high proportion of zero observations. While Bayesian hierarchical models perform very well for zero-inflated data in many situations, a smooth response surface is usually required for the Bayesian methods to converge. However, for infectious disease data with excessive zeros, a Wombling issue with large spatial variation could make the Bayesian methods infeasible. To address this issue, we develop estimating equations associated with disease mapping by including over-dispersion and spatial noises in a spatial zero-inflated Poisson model. Asymptotic properties are derived for the parameter estimates. Simulations and data analysis are used to assess and illustrate the proposed method.
    日期: 2024-01-10
    關聯: Stat: Bulletin of the Wisconsin Nurses Association. 2024 Jan 10;13(1):Article number e646.
    Link to: http://dx.doi.org/10.1002/sta4.646
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=2049-1573&DestApp=IC2JCR
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85181891685
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