國家衛生研究院 NHRI:Item 3990099045/16259
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 12190/12972 (94%)
造访人次 : 1076497      在线人数 : 617
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    主页 ‧ 登入 ‧ 上传 ‧ 说明 ‧ 关于NHRI ‧ 管理 到手机版


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.nhri.org.tw/handle/3990099045/16259


    题名: A mixture scan statistic for semi-continuous data with covariates and spatial correlation
    作者: Lin, PS;Zhu, J;Kung, YH
    贡献者: Institute of Population Health Sciences
    摘要: In the study of infectious diseases, cluster analysis is a useful statistical method to explore the relationship between disease hot spots and propagation patterns associated with risk factors. However, when covariates and excessive zeros also produce clustering effects for responses, traditional identification methods for geographic clusters may not address this confounding issue well. Moreover, for complex surveillance systems, scrutinizing all risk factors that could simultaneously affect health outcomes and geographic clusters would be difficult, which could cause large spatial variations and thus create a convergency issue for the Bayesian algorithm. To address these issues, a mixture scan statistic that is associated with the two-part and cluster models is developed to identify geographic clusters for spatial data with covariates and excessive zeros. A model selection procedure is proposed to evaluate the significance of geographic clusters for the mixture scan statistic. Simulation studies and data analysis for associations between dengue infection and environmental risk factors are used to illustrate the proposed method.
    日期: 2024-11-04
    關聯: Journal of Agricultural Biological and Environmental Statistics. 2024 Nov 04;Article in Press.
    Link to: http://dx.doi.org/10.1007/s13253-024-00662-6
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1085-7117&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:001348757800001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85208138610
    显示于类别:[林培生] 期刊論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    ISI001348757800001.pdf1048KbAdobe PDF7检视/开启


    在NHRI中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈