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

Pao-sheng Shen ()

Computational Statistics, 2013, vol. 28, issue 2, 596 pages

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. Copyright Springer-Verlag 2013

Keywords: Double truncation; Interval censoring; Linear transformation model (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:compst:v:28:y:2013:i:2:p:581-596

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DOI: 10.1007/s00180-012-0318-0

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