This paper investigates estimations of regression parameters in a semiparametric nonlinear regression model for longitudinal data in the presence of missing response variables that are missing with missingness probabilities depend on covariates.Empirical likelihood methods are used to estimate the regression coefficients based on the complete-case data set and the imputed values.