We study a joint model where logistic regression is applied to binary longitudinal data with mismeasured time-varying covariate that modeled using mechanistic nonlinear model. Multiple random effects are necessary characterize the trajectories of and response variable, leading high dimensional integral in likelihood. To account for computational challenge, we propose stochastic expectation-maxi...