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    題名: Conditional score approach to errors-in-variable current status data under the proportional odds model
    作者: Wen, C.C.;Chen, Y.H.
    貢獻者: 淡江大學數學學系
    關鍵詞: efficient score;interval censoring;measurement error;semiparametric;survival analysis
    日期: 2012-12
    上傳時間: 2014-04-21
    出版者: Chichester: Wiley-Blackwell Publishing Ltd.
    摘要: 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.
    關聯: Scandinavian Journal of Statistics 39(4), pp.635-644
    DOI: 10.1111/j.1467-9469.2011.00771.x
    顯示於類別:[數學學系暨研究所] 期刊論文

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