國家衛生研究院 NHRI:Item 3990099045/3740
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/3740


    Title: Estimating equations for separable spatial-temporal binary data
    Authors: Lin, PS
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: For binary data with correlation across space and over time, the literature concerning the estimation of fixed effects in marginal models is limited. In this paper, we model the marginal probability of binary responses in terms of parameters of interest by a logistic function. An estimating equation based on the quasi-likelihood concept is developed to estimate parameters. Under separable correlation models, we show that the quasi-likelihood estimate is asymptotically optimal. A series of simulations is conducted to evaluate how the efficiency varies with the regression coefficients. We also compare the relative efficiency with another estimating equation by simulations. The proposed method is applied to an ecological study of forest decline to test independence of two spatial-temporal binary outcomes.
    Date: 2010-12
    Relation: Environmental and Ecological Statistics. 2010 Dec;(17)4:543-557.
    Link to: http://dx.doi.org/10.1007/s10651-009-0117-0
    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:000286284300009
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=78650522683
    Appears in Collections:[Pei-Sheng Lin] Periodical Articles

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