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题目：Analysis of competing risks data with censored covariates

报告人：Liming Xiang  （Nanyang Technological University）

摘要：Competing risks are common in survival analysis when subjects may experience multiple types of events and the occurrence of the primary event of interest can be precluded by a competing event. Challenges arise for the analysis of competing risks data with covariates subject to censoring due to detection limits.  We propose a semiparametric multiple imputation method for inference under the subdistribution hazard model. Our proposed imputation model is compatible with the substantive model and effectively leverages information from the outcome data and fully observed covariates to impute censored covariates using rejection sampling. We establish consistency and asymptotic normality of the resulting estimator and demonstrate its promising finite sample performance via simulation studies. To illustrate its practical utility, we provide an application to the data from a study of community acquired pneumonia.

报告人简介：Dr. Liming Xiang is an Associate Professor of Statistics at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore. Her research Her research focuses on developing statistical methods for survival data and longitudinal/clustered data with applications to scientific problems in the areas of medicine, epidemiology and public health. Currently, she is particularly interested in semiparametric approaches for complex survival data involving right or interval censoring, competing/semi-competing risks, and censored covariates.

报告时间：2025年7月3日（星期三） 13:30-14：30

报告地点：教二楼 610

联系人：胡涛