Maximum partial-rank correlation estimation for left-truncated and right-censored survival data

Shao Hsuan Wang, Chin Tsang Chiang

研究成果: 雜誌貢獻期刊論文同行評審

3 引文 斯高帕斯(Scopus)

摘要

This article presents a general single-index hazard regression model to assess the effects of covariates on a failure time. Based on left-truncated and right-censored survival data, a new partial-rank correlation function is proposed to estimate the index coefficients in the presence of covariate-dependent truncation and censoring. Furthermore, an efficient computational algorithm is proposed for the computation that maximizes the constructed target function. The developed approach can be extended to include right-truncation and left-censoring under a reverse-time hazard regression model. Based on the maximum rank correlation estimator in the literature, we establish the consistency and asymptotic normality of the maximum partial-rank correlation estimator. A series of simulations shows that the proposed estimator has satisfactory finite-sample performance compared with that of its competitors. Lastly, we demonstrate our methodology by applying it to data from the US Health and Retirement Study.

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頁(從 - 到)2141-2161
頁數21
期刊Statistica Sinica
29
發行號4
DOIs
出版狀態已出版 - 2020

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