Conditional score approach to errors-in-variable current status data under the proportional odds model

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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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