Analysis of Current Status Data with Missing Covariates
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
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 )

機構典藏連結