Accommodating Informative Dropout and Death: A Joint Modelling Approach for Longitudinal and Semicompeting Risks Data
提出一种联合建模方法，同时处理纵向数据中的信息性退出和死亡，可方便地获得存活人群的条件纵向轨迹，并应用于HIV研究中CD4计数的估计。
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.