|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|5129624||1378639||2018||6 صفحه PDF||ندارد||دانلود کنید|
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 etÂ al. (2008). We also apply our suggested approach to analyze the Bone Marrow Transplant data.
Journal: Statistics & Probability Letters - Volume 132, January 2018, Pages 1-6