Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome
纵向数据与事件时间数据的联合建模：艾滋病应用
In many clinical and epidemiologic studies, periodically measured disease markers are used to monitor progression to the onset of disease. Motivated by a study of CD4 counts in men infected with human immunodeficiency virus (HIV) at risk for acquired immunodeficiency syndrome (AIDS), we developed a joint model for analysis of both longitudinal and event time data. We use a longitudinal model for continuous data that incorporates a mean structure dependent on covariates, a…