Analysis of Current Status Data with Missing Covariates

淡江大學機構典藏 > 理學院 > 數學學系暨研究所 > 期刊論文 > Item 987654321/58690

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/58690

题名:	Analysis of Current Status Data with Missing Covariates
作者:	Wen, Chi-Chung;Lin, Chien-Tai
贡献者:	淡江大學數學學系
关键词:	PH model;Profile likelihood;Semiparametric maximum likelihood estimate
日期:	2011-09
上传时间:	2011-10-01 21:03:35 (UTC+8)
出版者:	Chichester: Wiley-Blackwell Publishing Ltd.
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.
關聯:	Biometrics 67(3), p.760–769
DOI:	10.1111/j.1541-0420.2010.01505.x
显示于类别:	[數學學系暨研究所] 期刊論文

文件中的档案:

档案	大小	格式	浏览次数
Analysis of Current Status Data with Missing Covariates.pdf	235Kb	Adobe PDF	1	检视/开启
index.html	0Kb	HTML	239	检视/开启
index.html	0Kb	HTML	140	检视/开启

在機構典藏中所有的数据项都受到原著作权保护.

TAIR相关文章