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In many longitudinal studies,the response process is often correlated with observation times.Also,there may exist a dependent terminal event such as death that stops the follow-up.In this talk,we propose a new joint model for analysis of longitudinal data with informative observation times and a dependent terminal event via two latent variables.Estimating equation approaches are developed for parameter estimation,and asymptotic properties of the proposed estimators are derived.The 26finite sample properties of the proposed estimators are examined through simulation studies.An application to a bladder cancer study is illustrated.