我們考慮半競爭風險資料下終端事件與非終端事件之間相關模型
的選取問題，我們的方法首先構建了概似函數，並使用 AIC 公式
作為選取相關模型的標準。從模擬實驗結果看來我們所提出的方
法表現不錯。最後，我們將我們所提出的方法應用於骨髓移植資
料上。

We consider model selection problem of the dependency between the
terminal event and the non-terminal event under semi-competing
risks data. We construct the likelihood function and use AIC formula to determine the fittable model. From simulation studies, it
shows the performance of the proposed approach is well. Finally,
we apply our method to a bone marrow transplant data set.

Contents
1 Introduction
2 Data and models
2.1 Semi-competing risks data
2.2 Copula models
3 Literature review
3.1 Regression analysis based on semicompeting risks data
(Hsieh et al., 2008)
3.2 Estimating Survival and Association in a Semicompeting Risk Model (Lakhal et al., 2008)
4 The proposed methods
5 Simulation studies
6 Application to a real data
7 Conclusion

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