Both dropout and death can truncate observation of a longitudinal outcome. Since extrapolation beyond death is often not appropriate, it is desirable to obtain the longitudinal outcome profile of a population given being alive. We propose a new likelihood-based approach to accommodating informative dropout and death by jointly modelling the longitudinal outcome and semi-competing event times of dropout and death, with an important feature that the conditional longitudinal profile of being alive can be conveniently obtained in a closed form. We use proposed methods to estimate different longitudinal profiles of CD4 count for patients from the HIV Epidemiology Research Study.

中文翻译：

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适应信息性辍学和死亡：纵向和半竞争风险数据的联合建模方法。

辍学和死亡都可以截断纵向结果的观察。由于超越死亡的外推通常是不合适的，因此希望获得一个人口活着的纵向结果概况。我们提出了一种新的基于可能性的方法，通过联合建模辍学和死亡的纵向结果和半竞争事件时间来适应信息性辍学和死亡，其重要特征是可以在封闭的条件下方便地获得活着的条件纵向轮廓。形式。我们使用建议的方法来估计来自 HIV 流行病学研究的患者 CD4 计数的不同纵向分布。