Regression analysis of interval censored and doubly truncated data with linear transformation models

THUIR > College of Management > Department of Statistics > Periodical Articles > Item 310901/21795

Please use this identifier to cite or link to this item: http://140.128.103.80:8080/handle/310901/21795

Title:	Regression analysis of interval censored and doubly truncated data with linear transformation models
Authors:	Shen, P.-S.
Contributors:	Department of Statistics, Tunghai University Taichung
Keywords:	Double truncation;Interval censoring;Linear transformation model
Date:	2013
Issue Date:	2013-05-15T09:05:56Z (UTC)
Abstract:	Doubly truncated data appear in a number of applications, including astronomy and survival analysis. For double-truncated data, the lifetime T is observable only when U ? T ? V, where U and V are the left-truncated and right-truncated time, respectively. In some situation, the lifetime T also suffers interval censoring. This paper considers the estimation of regression parameters under linear transformation models, in the presence of interval-censored and doubly truncated (ICDT) data. It is demonstrated that the approach of Zhang et al. (Can J Stat 33:61-70, 2005) can be extended to analyze ICDT data. The asymptotic properties of the proposed estimator are discussed. A simulation study is conducted to investigate the performance of the proposed estimator. ? 2012 Springer-Verlag.
Relation:	Computational Statistics Volume 28, Issue 2, 2013, Pages 581-596
Appears in Collections:	[Department of Statistics ] Periodical Articles

Files in This Item:

File	Size	Format
index.html	0Kb	HTML	417	View/Open