期刊論文
| 學年 | 100 |
|---|---|
| 學期 | 1 |
| 出版（發表）日期 | 2011-09-01 |
| 作品名稱 | Analysis of Current Status Data with Missing Covariates |
| 作品名稱（其他語言） | |
| 著者 | Wen, Chi-Chung; Lin, Chien-Tai |
| 單位 | 淡江大學數學學系 |
| 出版者 | Chichester: Wiley-Blackwell Publishing Ltd. |
| 著錄名稱、卷期、頁數 | Biometrics 67(3), p.760–769 |
| 摘要 | Statistical inference based on right-censored data for the proportional hazards (PH) model with missing covariates has received considerable attention, but interval-censored or current status data with missing covariates has not yet been investigated. Our study is partly motivated by the analysis of fracture data from the 2005 National Health Interview Survey Original Database in Taiwan, where the occurrence of fractures was interval censored and the covariate osteoporosis was not reported for all residents. We assume that the data are realized from a PH model. A semiparametric maximum likelihood estimate implemented by a hybrid algorithm is proposed to analyze current status data with missing covariates. A comparison of the performance of our method with full-cohort analysis, complete-case analysis, and surrogate analysis is made via simulation with moderate sample sizes. The fracture data are then analyzed. |
| 關鍵字 | PH model;Profile likelihood;Semiparametric maximum likelihood estimate |
| 語言 | en |
| ISSN | 0006-341X; 1541-0420 |
| 期刊性質 | 國外 |
| 收錄於 | SCI |
| 產學合作 | |
| 通訊作者 | Lin, Chien-Tai |
| 審稿制度 | 否 |
| 國別 | GBR |
| 公開徵稿 | |
| 出版型式 | ,紙本 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/58690 ) |