期刊論文
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 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/97757 ) |