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Joint models for longitudinal and survival data have received much attention in recent years.Here we consider joint models for HIV vaccine studies.In these studies,joint models are complicated by the following issues:(ⅰ)the longitudinal data may be of mixed types,such as binary and continuous data,and different types of data may be associated;(ⅱ)some longitudinal data may be left censored due to lower limit of quantifications; and(ⅲ)the longitudinal data may be measured with errors and may have missing values.