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Semiparametric quantile-difference estimation for length-biased and right-censored data 被引量:1
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作者 Yutao Liu Shucong Zhang Yong Zhou 《Science China Mathematics》 SCIE CSCD 2019年第9期1823-1838,共16页
Prevalent cohort studies frequently involve length-biased and right-censored data, a fact that has drawn considerable attention in survival analysis. In this article, we consider survival data arising from lengthbiase... Prevalent cohort studies frequently involve length-biased and right-censored data, a fact that has drawn considerable attention in survival analysis. In this article, we consider survival data arising from lengthbiased sampling, and propose a new semiparametric-model-based approach to estimate quantile differences of failure time. We establish the asymptotic properties of our new estimators theoretically under mild technical conditions, and propose a resampling method for estimating their asymptotic variance. We then conduct simulations to evaluate the empirical performance and efficiency of the proposed estimators, and demonstrate their application by a real data analysis. 展开更多
关键词 QUANTILE DIFFERENCES length-biased sampling right-censored proportional hazards model
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