Semiparametric quantile-difference estimation for length-biased and right-censored data

• 来源期刊: 中国科学：数学（英文版）
• 年，卷（期）: 2019,（9）
• 页码范围: 1823-1838
• 页数: 16页
• 语种: 英文

摘要

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.