离群值
估计员
推论
多元统计
纵向数据
计算机科学
统计
人类免疫缺陷病毒(HIV)
纵向研究
数据挖掘
计量经济学
数学
人工智能
医学
免疫学
作者
Tingting Yu,Lang Wu,Qiu Jin,Peter B. Gilbert
摘要
In jointly modelling longitudinal and survival data, the longitudinal data may be complex in the sense that they may contain outliers and may be left censored. Motivated from an HIV vaccine study, we propose a robust method for joint models of longitudinal and survival data, where the outliers in longitudinal data are addressed using a multivariate t-distribution for b-outliers and using an M-estimator for e-outliers. We also propose a computationally efficient method for approximate likelihood inference. The proposed method is evaluated by simulation studies. Based on the proposed models and method, we analyze the HIV vaccine data and find a strong association between longitudinal biomarkers and the risk of HIV infection.
科研通智能强力驱动
Strongly Powered by AbleSci AI