Functional inference for interval-censored data in proportional odds model with covariate measurement error
學年 102
學期 2
出版（發表）日期 2014-07-01
作品名稱 Functional inference for interval-censored data in proportional odds model with covariate measurement error
作品名稱（其他語言）
著者 Wen, Chi-Chung; Chen, Yi-Hau
單位 淡江大學數學學系
出版者 Taipei: Academia Sinica * Institute of Statistical Science
著錄名稱、卷期、頁數 Statistica Sinica 24(3), pp.1301-1317
摘要 It is common in regression analysis of failure time data, such as the AIDS Clinical Trail Group (ACTG) 175 clinical trial data, that the failure time (AIDS incidence time) is subject to interval-censoring and the covariate (baseline CD4 count) is subject to measurement error. To perform valid analysis in this setting, we propose a functional inference method under the semiparametric proportional odds model. The proposal utilizes the working independence strategy to handle general mixed case interval censorship, as well as the conditional score approach to handle mismeasured covariate without specifying the covariate distribution. The asymptotic theory, together with a stable computational procedure combining the Newton-Raphson and self-consistency algorithms, is established for the proposed estimation method. We illustrate the performance of the proposal via simulation studies and analysis of ACTG 175 data.
關鍵字 Conditional score;interval-censoring;measurement error;semiparametric;survival analysis
語言 en
ISSN 1017-0405
期刊性質 國內
收錄於 SCI
產學合作
通訊作者
審稿制度 是
國別 TWN
公開徵稿
出版型式 ,紙本
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