國家衛生研究院 NHRI:Item 3990099045/7830
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    题名: Analysis of non-separable spatiotemporal data with application to enterovirus study in Taiwan
    作者: Lin, PS;Hsiung, CA;Cheng, CW
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: We propose an estimation procedure to incorporate non-separable spatiotemporal correlation into a generalized linear mixed model. The motivation of this paper is from a study of enterovirus infection with spatial-temporal correlation. The proposed method underlying a working estimating equation comes from a generalization of weighted least squares approaches. With an iterative two-stage estimation procedure, we may address the non-identifiability problem caused by latent random effects. Under certain regularity conditions, we show that the proposed estimate has consistency and asymptotic normality for spatiotemporal data. We also conduct a model-based simulation and apply the method to the enterovirus data in Taiwan.
    日期: 2014-12
    關聯: Environmental and Ecological Statistics. 2014 Dec;21(4):733-750.
    Link to: http://dx.doi.org/10.1007/s10651-014-0278-3
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1352-8505&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000345322300008
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84911989842
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