3 papers
stat.ME2024
Scalable likelihood-based estimation and variable selection for the Cox model with incomplete covariates
Ngok Sang Kwok, Kin Yau Wong
Regression analysis with missing data is a long-standing and challenging problem, particularly when there are many missing variables with arbitrary missing patterns. Likelihood-bas…
stat.ME2024
A global kernel estimator for partially linear varying coefficient additive hazards models
Hoi Min Ng, Kin Yau Wong
In biomedical studies, we are often interested in the association between different types of covariates and the times to disease events. Because the relationship between the covari…
stat.ME2023
Improving estimation efficiency of case-cohort study with interval-censored failure time data
Qingning Zhou, Kin Yau Wong
The case-cohort design is a commonly used cost-effective sampling strategy for large cohort studies, where some covariates are expensive to measure or obtain. In this paper, we con…