頁籤選單縮合
題 名 | Functional Inference for Interval-Censored Data in Proportional Odds Model with Covariate Measurement Error |
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作 者 | Wen, Chi-chung; Chen, Yi-hau; | 書刊名 | Statistica Sinica |
卷 期 | 24:3 2014.07[民103.07] |
頁 次 | 頁1301-1317 |
分類號 | 319 |
關鍵詞 | Conditional score; Interval-censoring; Measurement error; Semiparametric; Survival analysis; |
語 文 | 英文(English) |
英文摘要 | 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. |
本系統中英文摘要資訊取自各篇刊載內容。