Conditional score approach to errors-in-variable current status data under the proportional odds model
學年 101
學期 1
出版（發表）日期 2012-12-01
作品名稱 Conditional score approach to errors-in-variable current status data under the proportional odds model
作品名稱（其他語言）
著者 Wen, C.C.; Chen, Y.H.
單位 淡江大學數學學系暨研究所
出版者 Chichester: Wiley-Blackwell Publishing Ltd.
著錄名稱、卷期、頁數 Scandinavian Journal of Statistics 39(4), pp.635-644
摘要 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.
關鍵字 efficient score; interval censoring; measurement error; semiparametric; survival analysis
語言 en_US
ISSN 0303-6898 1467-9469
期刊性質 國外
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 電子版
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