Nonparametric Regression with Randomly Censored Independent Variable

报告标题：Nonparametric Regression with Randomly Censored Independent Variable

报告人：江慧（华中科技大学）

时间：2019.4.22上午10:00-11:00

地点：玉泉工商楼200-9

报告摘要：Censoring occurs often in data collection. In this paper, we consider the nonparametric regression when the covariate is censored and only assume conditional independence between the covariate and the censoring variable. In contrast to censoring in the response variable as does in most survival analysis, regression with censored covariates is more challenging. We propose to estimate the regression function using conditional hazard rates. Asymptotic normality of our proposed estimator is established. Both theoretical results and simulation studies demonstrate that the proposed nonparametric method is more efficiently than that based on complete cases, especially with high censoring rate. We illustrate the usefulness of the method using the well-known dataset from a randomized placebo controlled clinical trial of the drug D-penicillamine.

联系人：王璇老师（0016171@zju.edu.cn）