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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/97757

    Title: Conditional score approach to errors-in-variable current status data under the proportional odds model
    Authors: Wen, C.C.;Chen, Y.H.
    Contributors: 淡江大學數學學系
    Keywords: efficient score;interval censoring;measurement error;semiparametric;survival analysis
    Date: 2012-12
    Issue Date: 2014-04-21
    Publisher: Chichester: Wiley-Blackwell Publishing Ltd.
    Abstract: The conditional score approach is proposed to the analysis of errors-in-variable current status data under the proportional odds model. Distinct from the conditional scores in other applications, the proposed conditional score involves a high-dimensional nuisance parameter, causing challenges in both asymptotic theory and computation. We propose a composite algorithm combining the Newton–Raphson and self-consistency algorithms for computation and develop an efficient conditional score, analogous to the efficient score from a typical semiparametric likelihood, for building an asymptotic linear expression and hence the asymptotic distribution of the conditional-score estimator for the regression parameter. Our proposal is shown to perform well in simulation studies and is applied to a zebrafish basal cell carcinoma data involving measurement errors in gene expression levels.
    Relation: Scandinavian Journal of Statistics 39(4), pp.635-644
    DOI: 10.1111/j.1467-9469.2011.00771.x
    Appears in Collections:[Graduate Institute & Department of Mathematics] Journal Article

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