國家衛生研究院 NHRI:Item 3990099045/1722
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    题名: Extended rank analysis of covariance adjusting for local correlations
    作者: Chen, CC
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: An implicit assumption in the classical analysis of covariance is that the relationship between the response variable Y and the covariable X is consistent across the support of X. This may not hold in general if the strength of the relationship between Y and X varies in different regions of the covariate space [Doksum, K., Blyth, S., Bradlow, E., Meng, X.-L., Zhao, H., 1994. Correlation curves as local measures of variance explained by regression. J. Amer. Statist. Assoc. 89 (426), 571-582]. In this paper, to cope with heterocorrelaticity nonparametrically, we propose an extended rank analysis of covariance by adjusting local tolerances and dividing the support of X into disjoint subintervals with substantial different correlations between Y and X. The results showed that the proposed method was flexible in model error distributions as well as changing local correlations between Y and X, while retaining relatively well empirical power in simulations. (c) 2007 Elsevier B.V All rights reserved.
    关键词: Computer Science, Interdisciplinary Applications;Statistics & Probability
    日期: 2008-01-01
    關聯: Computational Statistics and Data Analysis. 2008 Jan;52(3):1399-1412.
    Link to: http://dx.doi.org/10.1016/j.csda.2007.03.021
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0167-9473&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000253669700012
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=35548987125
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