Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5129624 | Statistics & Probability Letters | 2018 | 6 Pages |
Abstract
This paper focuses on the estimation of the survival function of the non-terminal event time for semi-competing risks data. Without extra assumptions, we cannot make inference on the non-terminal event time because the non-terminal event time is dependently censored by the terminal event time. Thus, we utilize the Archimedean copula model to specify the dependency between the non-terminal event time and the terminal event time. Under the Archimedean copula assumption, we apply the redistribution method to estimate the survival function of the non-terminal event time and compare it with the copula-graphic estimator introduced by Lakhal et al. (2008). We also apply our suggested approach to analyze the Bone Marrow Transplant data.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Statistics and Probability
Authors
Jin-Jian Hsieh, Chia-Hao Hsu,