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Censored Quantile Regression after Transformation
澳门新葡8455最新网站:2011年10月26日 00:00 点击数:

报告人:Xingwei Tong

报告地点:澳门新葡8455最新网站104室

报告澳门新葡8455最新网站:2011年10月28日(星期五)9:00

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报告摘要:

We propose a new quantile regression model when data are subject to censoring. In comparison with some existing approaches, our model requires neither any global linearity assumption, nor unconditional independence of the survival and the censoring time. We develop a class of power-transformed quantile regression models such that the transformed survival time can be better characterized by linear regression quantiles. Consistency and asymptotic normality of the resulting estimators are shown. A re-sampling based approach is proposed for statistical inference. The finite sample performance of the new estimator is studied by extensive simulation studies and a real data analysis.

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北京师范大学数学科学新葡京最新官网

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