教師資料查詢 | 類別: 期刊論文 | 教師: 林千代 Lin Chien-tai (瀏覽個人網頁)

標題: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), pp.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
語言英文
ISSN0006-341X; 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
國別英國
公開徵稿
出版型式紙本
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