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

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题名:	Regression analysis of interval censored and doubly truncated data with linear transformation models
作者:	Shen, P.-S.
贡献者:	Department of Statistics, Tunghai University Taichung
关键词:	Double truncation;Interval censoring;Linear transformation model
日期:	2013
上传时间:	2013-05-15T09:05:56Z (UTC)
摘要:	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.
關聯:	Computational Statistics Volume 28, Issue 2, 2013, Pages 581-596
显示于类别:	[統計學系所] 期刊論文

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